List of Research Topics and Ideas of Bayesian computation for MS and Ph.D. Thesis.

1. Inference of brain networks with approximate Bayesian computation–assessing face validity with an example application in Parkinsonism
2. Adaptive approximate Bayesian computation tolerance selection
3. Analysis of coronal mass ejection flux rope signatures using 3DCORE and approximate Bayesian Computation
4. Approximate bayesian computation for discrete spaces
5. ABC: Outlier-Robust Approximate Bayesian Computation Based on a Robust Divergence Estimator
6. Approximate Bayesian Computation of B\’ezier Simplices
7. Selection of Summary Statistics for Network Model Choice with Approximate Bayesian Computation
8. Approximate Bayesian computation, an introduction
9. Demographic Inference Using Skyline Plots on Approximate Bayesian Computation
10. … Arctic salmonid, the northern Dolly Varden (Salvelinus malma malma), via estimates of effective and census population sizes and approximate Bayesian computation
11. Quantification of the weight of fingerprint evidence using a ROC-based Approximate Bayesian Computation algorithm for model selection
12. Bayesian Model Updating in Time Domain with Metamodel-Based Reliability Method
13. Bayesian modeling of the mind: From norms to neurons
14. Shadow Simulated Annealing: A new algorithm for approximate Bayesian inference of Gibbs point processes
15. Sketching in Bayesian High Dimensional Regression With Big Data Using Gaussian Scale Mixture Priors
16. Bayesian uncertainty quantification for data-driven equation learning
17. Scalable computation for Bayesian hierarchical models
18. Approximate Bayesian inference for a spatial point process model exhibiting regularity and random aggregation
19. Nonparametric machine learning and efficient computation with bayesian additive regression trees: the BART R package
20. Fully Bayesian Analysis of Relevance Vector Machine Classification with Probit Link Function for Imbalanced Data Problem
21. Bayesian semi-parametric G-computation for causal inference in a cohort study with MNAR dropout and death
22. Generalized Bayesian likelihood-free inference using scoring rules estimators
23. Bayesian approaches to cointegratrion
24. Comparison of Likelihood-Free Inference Approach and a Formal Bayesian Method in Parameter Uncertainty Assessment: Case Study with a Single-Event Rainfall …
25. Two-stage surrogate model-assisted Bayesian framework for groundwater contaminant source identification
26. Use of Bayesian Markov Chain Monte Carlo Methods to Model Kuwait Medical Genetic Center Data: An Application to Down Syndrome and Mental Retardation
27. Bayesian and frequentist approaches to multinomial count models in ecology
28. Parallel Gaussian process surrogate Bayesian inference with noisy likelihood evaluations
29. Robust approximate Bayesian inference with synthetic likelihood
30. bCobaya: code for Bayesian analysis of hierarchical physical models
31. Bayesian Analysis of Spatial Econometrics Regression Models
32. Bayesian survival analysis using gamma processes with adaptive time partition
33. Efficient adaptive MCMC implementation for Pseudo-Bayesian quantum tomography
34. GPU-Accelerated Hierarchical Bayesian Inference with Application to Modeling Cosmic Populations: CUDAHM
35. 13 Bayesian Regression for
36. The Bayesian Method of Tensor Networks
37. PMBA: A Parallel MCMC Bayesian Computing Accelerator
38. Estimation of agent-based models using Bayesian deep learning approach of BayesFlow
39. Resource-efficient adaptive Bayesian tracking of magnetic fields with a quantum sensor
40. Hierarchical Signal Propagation for Household Level Sales in Bayesian Dynamic Models
41. Eigenfrequency-Based Bayesian Approach for Damage Identification in Catenary Poles
42. Four times out of Europe: serial invasions of the winter moth, Operophtera brumata, to North America
43. Oral steroids for reducing kidney scarring in young children with febrile urinary tract infections: the contribution of Bayesian analysis to a randomized trial not …
44. Robust Importance Sampling for Bayesian Model Calibration with Spatio-Temporal Data
45. A novel adaptive resampling for sequential Bayesian filtering to improve frequency estimation of time-varying signals
46. Spatial dynamics of chinese muntjac related to past and future climate fluctuations
47. Learning the surface structure of wh-questions in English and French with a non-parametric Bayesian model
48. Benchmarking Simulation-Based Inference
49. Bayesian equation selection on sparse data for discovery of stochastic dynamical systems
50. Empowering Differential Networks Using Bayesian Analysis
51. Bayesian estimation approach based on modified SCAM algorithm and its application in structural damage identification
52. A new Bayesian discrepancy measure
53. Bayesian Model Selection for Small Datasets of Measurement Results
54. Statistical Inference in Behavioral Research: Traditional and Bayesian Approaches
55. Bayesian analysis of agricultural experiments using PROC MCM
56. A bivariate two-state Markov modulated Poisson process for failure modeling
57. Neural surprise in somatosensory Bayesian learning
58. Chemical Kinetics Bayesian Inference Toolbox (CKBIT)
59. Direct Sampling in Bayesian Regression Models with Additive Disclosure Avoidance Noise
60. Assessing the risk of disruption of wind turbine operations in Saudi Arabia using Bayesian spatial extremes
61. Bayesian inference: the comprehensive approach to analyzing single-molecule experiments
62. Bayesian inference of species trees using diffusion models
63. Bayesian Estimation of Epidemiological Models: Methods, Causality, and Policy Trade-Offs
64. Multiple Merger Genealogies in Outbreaks of Mycobacterium tuberculosis
65. Bayesian criterion-based variable selection
66. Cluster-Based Data Aggregation in Wireless Sensor Networks: A Bayesian Classifier Approach
67. Parallel Sequential Random Embedding Bayesian Optimization
68. Laplace approximations for fast Bayesian inference in generalized additive models based on P-splines
69. Sequential ensemble transform for Bayesian inverse problems
70. Differences in Quaternary co-divergence reveals community-wide diversification in the mountains of southwest China varied among species
71. A Bayesian inverse approach to measure the anisotropic plasticity properties of materials using spherical indentation experiment
72. Bayesian Approaches for Confirmatory Trials in Rare Diseases: Opportunities and Challenges
73. Estimating the effect of social inequalities on the mitigation of COVID-19 across communities in Santiago de Chile
74. Partitive Techniques in Bayesian Data Analysis
75. Adaptive Sampling for Estimating Distributions: A Bayesian Upper Confidence Bound Approach
76. hIPPYlib: An Extensible Software Framework for Large-Scale Inverse Problems Governed by PDEs: Part I: Deterministic Inversion and Linearized Bayesian Inference
77. Bayesian Estimation of Correlation Matrices of Longitudinal Data
78. Modeling German Word Order Acquisition via Bayesian Inference
79. Bayesian Random Tomography of Particle Systems
80. Efficient Neural Network Approximation via Bayesian Reasoning
81. Bayesian Analysis of Intraday Stochastic Volatility Models of High-Frequency Stock Returns with Skew Heavy-Tailed Errors
82. Reservoir lithofacies modeling using well logs and seismic data based on Sequential Indicator Simulations and Probability Perturbation Method in a Bayesian …
83. Spatial statistics
84. Variational Bayesian partially linear mean shift models for high-dimensional Alzheimer’s disease neuroimaging data
85. Element-wise Bayesian regularization for fast and adaptive force reconstruction
86. Bias and variance of the Bayesian-mean decoder
87. A longitudinal Bayesian mixed effects model with hurdle Conway-Maxwell-Poisson distribution
88. “This Is What We Don’t Know”: Treating Epistemic Uncertainty in Bayesian Networks for Risk Assessment
89. A practical introduction to Bayesian estimation of causal effects: Parametric and nonparametric approaches
90. Bayesian framework for THz-TDS plasma diagnostics
91. Multivariate/minor fault diagnosis with severity level based on Bayesian decision theory and multidimensional RBC
92. Bayesian paradigm for analysing count data in longitudina studies using Poisson-generalized log-gamma model
93. Constraint-Based Learning Bayesian Networks Classifier With Augmented Naive Bayes
94. Bayesian Multiple Quantile Regression for Linear Models Using a Score Likelihood
95. A Framework for Instantaneous Driver Drowsiness Detection Based on Improved HOG Features and Naïve Bayesian Classification
96. Development of Bayesian Approaches for Uncertainty Quantification in In Situ Stress Estimation
97. Simulation and Analysis Methods for Stochastic Compartmental Epidemic Models
98. Efficient Precision Dosing Under Estimated Uncertainties via Koopman Expectations of Bayesian Posteriors with Pumas
99. Bayesian unsupervised learning reveals hidden structure in concentrated electrolytes
100. Scalable spatio-temporal Bayesian analysis of high-dimensional electroencephalography data
101. A Bayesian bivariate hierarchical model with correlated parameters for the analysis of road crashes in Italian tunnels
102. Recognition of splice-junction genetic sequences using random forest and Bayesian optimization
103. Stochastic Simulation Techniques for Inference and Sensitivity Analysis of Bayesian Attack Graphs
104. Bayesian estimation of sparse precision matrices in the presence of Gaussian measurement error
105. Towards fast machine-learning-assisted Bayesian posterior inference of realistic microseismic events
106. DiBS: Differentiable Bayesian Structure Learning
107. Bayesian multivariate latent class profile analysis: Exploring the developmental progression of youth depression and substance use
108. All-at-once formulation meets the Bayesian approach: A study of two prototypical linear inverse problems
109. Efficient Resource-Aware Convolutional Neural Architecture Search for Edge Computing with Pareto-Bayesian Optimization
110. Neural-network heuristics for adaptive bayesian quantum estimation
111. Variational Combinatorial Sequential Monte Carlo Methods for Bayesian Phylogenetic Inference
112. A Causal Bayesian Network Model for Resolving Complex Wicked Problems
113. Bayesian network-driven clustering analysis with feature selection for high-dimensional multi-modal molecular data
114. Likelihood approximation networks (LANs) for fast inference of simulation models in cognitive neuroscience
115. Bayesian Variational Federated Learning and Unlearning in Decentralized Networks
116. Active Bayesian Multi-class Mapping from Range and Semantic Segmentation Observation
117. Gaussian processes meet NeuralODEs: A Bayesian framework for learning the dynamics of partially observed systems from scarce and noisy data
118. Alpha-divergence minimization with mixed variational posterior for Bayesian neural networks and its robustness against adversarial examples
119. Fast Variational Bayesian Inference for Temporally Correlated Sparse Signal Recovery
120. Certification of Iterative Predictions in Bayesian Neural Networks
121. Causation Entropy Principle and Bayesian Inference to Causal Networks
122. Horseshoe shrinkage methods for Bayesian fusion estimation
123. Bayesian inference with certifiable adversarial robustness
124. Bayesian Estimation of Geometric Morphometric Landmarks for Simultaneous Localization of Multiple Anatomies in Cardiac CT Images
125. Exploring Bayesian Deep Learning for Urgent Instructor Intervention Need in MOOC Forums
126. Bayesian Lévy-Dynamic Spatio-Temporal Process: Towards Big Data Analysis
127. Rapid adaptation to malaria facilitated by admixture in the human population of Cabo Verde
128. A Bayesian Contiguous Partitioning Method for Learning Clustered Latent Variables.
129. Source Reconstruction of Atmospheric Releases by Bayesian Inference and the Backward Atmospheric Dispersion Model: An Application to ETEX-I Data
130. Structural reliability analysis by a Bayesian sparse polynomial chaos expansion
131. To ban or not to ban: Bayesian attention networks for reliable hate speech detection
132. Bayesian model selection: Application to adjustment of fundamental physical constants
133. Approximate Bayesian inference and forecasting in huge-dimensional multi-country VARs
134. Correlated Data Analysis with Copula Models or Bayesian Nonparametric Methods
135. A flexible Bayesian non-confounding spatial model for analysis of dispersed count data in clinical studies
136. On estimation of stress–strength reliability with log-Lindley distribution
137. Assessment of structural interventions using Bayesian updating and subspace-based fault detection methods: The case study of S. Maria di Collemaggio basilica, L’ …
138. Quantum circuit representation of bayesian networks
139. Bayesian estimation-based sentiment word embedding model for sentiment analysis
140. Bayesian neural network priors revisited
141. On the contaminated exponential distribution: A theoretical Bayesian approach for modeling positive-valued insurance claim data with outliers
142. Detection of gravitational waves using Bayesian neural networks
143. Bayesian Mixture Modelling for Mortality Projection
144. Dsuite-fast D-statistics and related admixture evidence from VCF files
145. BORE: Bayesian Optimization by Density-Ratio Estimation
146. A Bayesian Risk Approach to MDPs with Parameter Uncertainty
147. A SIMULATION STUDY ON THE PERFORMANCE OF BAYESIAN AND L2 REGULARIZATION METHODS IN MULTICOLLINEARITY PROBLEM
148. Hierarchical Dynamic Modeling for Individualized Bayesian Forecasting
149. Functional brain response to emotional musical stimuli in depression, using INLA approach for approximate Bayesian inference
150. Scalable Belief Updating for Urban Air Quality Modeling and Prediction
151. Potential of Bayesian additive regression trees for predicting daily global and diffuse solar radiation in arid and humid areas
152. Scaling Up Bayesian Uncertainty Quantification for Inverse Problems using Deep Neural Networks
153. Accelerating Bayesian estimation for network Poisson models using frequentist variational estimates
154. Bayesian Uncertainty Quantification for Geomechanical Models at Micro and Macro Scales
155. Automated design of synthetic microbial communities
156. sparta: Sparse Tables and their Algebra for use in High Dimensional Bayesian Networks
157. Discriminatory Capacity of Prenatal Ultrasound Measures for Large-for-Gestational-Age Birth: A Bayesian Approach to ROC Analysis Using Placement Values
158. Bayesian statistics and modelling
159. Source term estimation in complex urban environments based on Bayesian inference and unsteady adjoint equations simulated via large eddy simulation
160. Estimation Parameters Of The Multiple Regression Using Bayesian Approach Based On The Normal Conjugate Function
161. Nonlinear full waveform inversion of wide-aperture OBS data for Moho structure using a trans-dimensional Bayesian method
162. Explainable ML: Augmenting the interpretability of numerical simulation using Bayesian networks
163. Azimuthal anisotropy in Bayesian surface wave tomography: application to northern Cascadia and Haida Gwaii, British Columbia
164. Bayesian Hierarchical Modeling: Application Towards Production Results in the Eagle Ford Shale of South Texas
165. Bayesian group sequential enrichment designs based on adaptive regression of response and survival time on baseline biomarkers
166. The Effect of Prior Lipschitz Continuity on the Adversarial Robustness of Bayesian Neural Networks
167. From data to causes III: Bayesian priors for general cross-lagged panel models (GCLM)
168. Bayesian optimization of a TDLAS array for mass capture measurement
169. Variational autoencoder Bayesian matrix factorization (VABMF) for collaborative filtering
170. Bayesian subgroup analysis in regression using mixture models
171. Fault detection based on Bayesian network and missing data imputation for building energy systems
172. Linear Bayesian estimators for linear models with constraints
173. Bayesian spectral density estimation using P-splines with quantile-based knot placement
174. Robust Bayesian estimator in a normal model with uncertain hierarchical priors
175. Density of States Estimation for Out of Distribution Detection
176. Multinomial Bayesian extreme learning machine for sparse and accurate classification model
177. Bayesian inference-driven model parameterization and model selection for 2CLJQ fluid models
178. Improving Bayesian inference efficiency for sensory anomaly detection and recovery in mobile robots
179. Bayesian analysis of the inverse generalized gamma distribution using objective priors
180. Multivariate Bayesian hierarchical Gaussian copula modeling of the non-stationary traffic conflict extremes for crash estimation
181. Latent Derivative Bayesian Last Layer Networks
182. Bayesian estimation of instantaneous frequency reduction on cracked concrete railway bridges under high-speed train passage
183. Bayesian tensorized neural networks with automatic rank selection
184. Parallel Bayesian Optimization of Multiple Noisy Objectives with Expected Hypervolume Improvement
185. ML-Based Analysis of Particle Distributions in High-Intensity Laser Experiments: Role of Binning Strategy
186. On the Effects of Quantisation on Model Uncertainty in Bayesian Neural Networks
187. Radar Jamming Effect Analysis Based on Bayesian Inference Network with Adaptive Clustering
188. COBALT: COnstrained Bayesian optimizAtion of computationaLly expensive grey-box models exploiting derivaTive information
189. Computationally Efficient Bayesian Optimization for Multi-objective Industrial Applications
190. Energetic upscaling strategy for grain growth. II: Probabilistic macroscopic model identified by Bayesian techniques
191. Robust and Fast Super-Resolution SAR Tomography of Forests Based on Covariance Vector Sparse Bayesian Learning
192. Teaching data science and Bayesian statistics for physical sciences
193. Robust Bayesian joint inversion of gravimetric and muographic data for the density imaging of the Puy de Dôme volcano (France)
194. A review on COVID-19 forecasting models
195. Bayesian negative binomial logit hurdle and zero-inflated model for characterizing smoking intensity
196. Bayesian analysis of heavy ion collisions with the heavy ion computational framework Trajectum
197. A review of hydrologic signatures and their applications
198. Fine-Tuning the Odds in Bayesian Networks
199. BAYESIAN INFERENCE FOR RAYLEIGH PARETO DISTRIBUTION UNDER PROGRESSIVELY TYPE-II RIGHT CENSORED DATA
200. A Decision-Tree-Based Bayesian Approach for Chance-Constrained Health Prevention Budget Rationing
201. Robust and Fast Super-Resolution SAR Tomography of Forests Based on Covariance Vector Sparse Bayesian Learning
202. Teaching data science and Bayesian statistics for physical sciences
203. Robust Bayesian joint inversion of gravimetric and muographic data for the density imaging of the Puy de Dôme volcano (France)
204. A review on COVID-19 forecasting models
205. Bayesian negative binomial logit hurdle and zero-inflated model for characterizing smoking intensity
206. Bayesian analysis of heavy ion collisions with the heavy ion computational framework Trajectum
207. A review of hydrologic signatures and their applications
208. Fine-Tuning the Odds in Bayesian Networks
209. BAYESIAN INFERENCE FOR RAYLEIGH PARETO DISTRIBUTION UNDER PROGRESSIVELY TYPE-II RIGHT CENSORED DATA
210. A Decision-Tree-Based Bayesian Approach for Chance-Constrained Health Prevention Budget Rationing
211. Cycles of trans-Arctic dispersal and vicariance, and diversification of the amphi-boreal marine fauna
212. Design of Trustworthy Cyber-Physical-Social Systems With Discrete Bayesian Optimization
213. The initial properties of young star clusters in M83
214. A co-culture microplate for real-time measurement of microbial interactions
215. Bayesian testing of scientific expectations under multivariate normal linear models
216. Bias-Robust Bayesian Optimization via Dueling Bandit
217. A Metropolized adaptive subspace algorithm for high-dimensional Bayesian variable selection
218. An automatic robust Bayesian approach to principal component regression
219. Lookahead Acquisition Functions for Finite-Horizon Time-Dependent Bayesian Optimization and Application to Quantum Optimal Control
220. A Bayesian Factor Model for Spatial Panel Data with a Separable Covariance Approach
221. Automatic tempered posterior distributions for Bayesian inversion problems
222. Modelling Animal-Vehicle Collision Counts across Large Networks Using a Bayesian Hierarchical Model with Time-Varying Parameters
223. Shallow Bayesian Meta Learning for Real-World Few-Shot Recognition
224. Bayesian networks: with examples in R
225. Performance-driven cascade controller tuning with Bayesian optimization
226. A Latent Variable Model for Relational Events with Multiple Receivers
227. Bayesian Estimation Based on Sequential Order Statistics for Heterogeneous Baseline Gompertz Distributions
228. The Generalized Bayes Method for High-Dimensional Data Recognition with Applications to Audio Signal Recognition
229. Inferences for Weibull Fréchet Distribution Using a Bayesian and Non-Bayesian Methods on Gastric Cancer Survival Times
230. Distributed Bayesian Inference in Linear Mixed-Effects Models
231. Bayesian Experimental Design of Cyber-Physical Tests for Hydrodynamic Model Calibration
232. Bayesian tests for circular uniformity
233. Bayesian optimization for estimating the maximum tolerated dose in Phase I clinical trials
234. Bayesian Fusion: Scalable unification of distributed statistical analyses
235. Bayesian inference based learning automaton scheme in Q-model environments
236. Bayesian inference for big spatial data using non-stationary spectral simulation
237. Marginalised Spectral Mixture Kernels with Nested Sampling
238. Bayesian Damage Recognition in Document Images Based on a Joint Global and Local Homogeneity Model
239. Bayesian Multiple Index Models for Environmental Mixtures
240. Deep compositional spatial models
241. Bayesian Multiple Index Models for Environmental Mixtures
242. Deep compositional spatial models
243. A model for port throughput forecasting using Bayesian estimation
244. Bayesian matrix completion with a spectral scaled Student prior: theoretical guarantee and efficient sampling
245. Bayesian AGN Decomposition Analysis for SDSS spectra: a correlation analysis of [O iii] ?5007 outflow kinematics with AGN and host galaxy properties
246. State estimation of CPSs with deception attacks: Stability analysis and approximate computation
247. Bayesian latent variable model for the analysis of the progression of Alzheimer’s disease
248. On Default Priors for Robust Bayesian Estimation with Divergences
249. An autonomous computation offloading strategy in Mobile Edge Computing: A deep learning-based hybrid approach
250. An Extended Lindley Distribution with Application to Lifetime Data with Bayesian Estimation
251. State estimation of CPSs with deception attacks: Stability analysis and approximate computation
252. Bayesian latent variable model for the analysis of the progression of Alzheimer’s disease
253. On Default Priors for Robust Bayesian Estimation with Divergences
254. An autonomous computation offloading strategy in Mobile Edge Computing: A deep learning-based hybrid approach
255. An Extended Lindley Distribution with Application to Lifetime Data with Bayesian Estimation
256. Bayesian metrology in metabolomics
257. Bayesian inference on M/M/1 queue under asymmetric loss function using Markov Chain Monte Carlo method
258. Novel Deep neural networks for solving Bayesian statistical inverse
259. The use of local and nonlocal priors in Bayesian test-based monitoring for single-arm phase II clinical trials
260. Predicting regional COVID-19 hospital admissions in Sweden using mobility data
261. Predicting regional COVID-19 hospital admissions in Sweden using mobility data
262. Making inference of British household’s happiness efficiency: A Bayesian latent model
263. Conjunction Time and Collision Probability Calculation Based on Bayesian Optimization
264. Multi-Task Bayesian compressive sensing exploiting signal structures
265. Shut and re-open: the role of schools in the spread of COVID-19 in Europe
266. BETS: The dangers of selection bias in early analyses of the coronavirus disease (COVID-19) pandemic
267. Implementing Adaptive Quadrature for Bayesian Inference: the aghq Package
268. Abstraction and Symbolic Execution of Deep Neural Networks with Bayesian Approximation of Hidden Features
269. Bayesian Monitoring of Seismo-Volcanic Dynamics
270. Implementing version control with Git and GitHub as a learning objective in statistics and data science courses
271. Using Bayesian statistics to detect trends in Alaskan precipitation
272. Bayesian model identification of higher-order frequency response functions for structures assembled by bolted joints
273. Fokker–Planck Particle Systems for Bayesian Inference: Computational Approaches
274. A practical analysis of sample complexity for structure learning of discrete dynamic Bayesian networks
275. Probabilistic morphisms and Bayesian nonparametrics
276. A Bayesian cohort component projection model to estimate adult populations at the subnational level in data-sparse settings
277. DATA TRAFFIC TRUST MODEL FOR CLUSTERED WIRELESS SENSOR NETWORK
278. Bayesian adversarial multi-node bandit for optimal smart grid protection against cyber attacks
279. Incorporating K-mers Highly Correlated to Epigenetic Modifications for Bayesian Inference of Gene Interactions
280. Bayesian zero-inflated regression model with application to under-five child mortality
281. Microbiologically influenced corrosion (MIC) management using Bayesian inference
282. A review of uncertainty quantification in deep learning: Techniques, applications and challenges
283. Gaia Early Data Release 3-Structure and properties of the Magellanic Clouds
284. A New Knowledge Gradient-based Method for Constrained Bayesian Optimization
285. On the design of Bayesian principled algorithms for imbalanced classification
286. Parameter Estimation of Generalized Inverted Exponential Distribution via Bayesian Approach
287. Inference from Non-Random Samples Using Bayesian Machine Learning
288. Bayesian degradation modelling for spare parts inventory management
289. A New Framework for Inference on Markov Population Models
290. Bayesian Learning of Thermodynamic Integration and Numerical Convergence for Accurate Phase Diagrams
291. Deep Interactive Bayesian Reinforcement Learning via Meta-Learning
292. Bayesian analysis of Juno/JIRAM’s NIR observations of Europa
293. A Bayesian neural network predicts the dissolution of compact planetary systems
294. Bayesian non-linear quantile effects on modelling realized kernels
295. An Approach to Bayesian Optimization for Design Feasibility Check on Discontinuous Black-Box Functions
296. Bayesian hierarchical modeling of operating room times for surgeries with few or no historic data
297. Constraining the primordial black hole scenario with Bayesian inference and machine learning: the GWTC-2 gravitational wave catalog
298. Bayesian network based general correspondence retrieval method for depth sensing with single-shot structured light
299. A Bayesian semiparametric vector Multiplicative Error Model
300. Imprecise global sensitivity analysis using bayesian multimodel inference and importance sampling
301. Scalable Bayesian inference for self-excitatory stochastic processes applied to big American gunfire data
302. Semiparametric Bayesian Inference for Local Extrema of Functions in the Presence of Noise
303. Predictive 3D Sonar Mapping of Underwater Environments via Object-specific Bayesian Inference
304. Hierarchical Bayesian modelling of disease progression to inform clinical trial design in centronuclear myopathy
305. The acoustic inverse problem in the framework of alternating direction method of multipliers
306. Patterns of de novo tandem repeat mutations and their role in autism
307. Channel estimation using variational Bayesian learning for multi-user mmWave MIMO systems
308. Bayesian Spatiotemporal Modeling on Complex-Valued fMRI Signals via Kernel Convolutions
309. Reinforcement learning and Bayesian data assimilation for model-informed precision dosing in oncology
310. Automatic tuning of hyperparameters using Bayesian optimization
311. Likelihoods and parameter priors for Bayesian networks
312. Numeral terms and the predictive potential of Bayesian updating1
313. Variational Bayesian Methods for Inferring Spatial Statistics and Nonlinear Dynamics
314. and Jesper Møller: Bayesian Analysis of Markov Point Processes
315. Probabilistic Framework with Bayesian Optimization for Predicting Typhoon-Induced Dynamic Responses of a Long-Span Bridge
316. INTERPRETABLE NEURAL ARCHITECTURE SEARCH VIA BAYESIAN OPTIMISATION WITH WEISFEILER-LEHMAN KERNELS
317. … Diagnosis Scheme for Distinguishing Between Benign and Malignant Masses on Breast DCE-MRI Images Using Deep Convolutional Neural Network with Bayesian …
318. Modeling crash severity by considering risk indicators of driver and roadway: a Bayesian network approach
319. Estimation of partially occluded 2D human joints with a Bayesian approach
320. Fast exact Bayesian inference for sparse signals in the normal sequence model
321. Shotgun: A Bayesian seamless phase I-II design to accelerate the development of targeted therapies and immunotherapy
322. A Bayesian approach to the mean flow in a channel with small but arbitrarily directional system rotation
323. Bayesian calibration of the mixing length parameter aML and of the helium-to-metal enrichment ratio ?Y/?Z with open clusters: the Hyades test-bed
324. Cost-Sensitive Variable Selection for Multi-Class Imbalanced Datasets Using Bayesian Networks
325. BAYES-LOSVD: A Bayesian framework for non-parametric extraction of the line-of-sight velocity distribution of galaxies
326. Photovoltaic Power Forecasting Using Recurrent Neural Network Based On Bayesian Regularization Algorithm
327. Reliability assessment of engine electronic controllers based on Bayesian deep learning and cloud computing
328. A Bayesian Approach to Estimating Reciprocal Effects with the Bivariate STARTS Model using Markov Chain Monte Carlo
329. Refugia within refugium of Geranium yesoense (Geraniaceae) in Japan were driven by recolonization into the southern interglacial refugium
330. Bayesian inference, model selection and likelihood estimation using fast rejection sampling: the Conway-Maxwell-Poisson distribution
331. Understanding rating movements in euro area countries
332. A simplified method for holistic value of information computation for informed structural integrity management under uncertainty
333. A Bayesian level set method for an inverse medium scattering problem in acoustics
334. Subspecies divergence and pronounced phylogenetic incongruence in the East-Asia-endemic shrub Magnolia sieboldii
335. Robust Bayesian inference in proxy SVARs
336. Bayesian inference of a multivariate model in a phase change situation around a cylinder in staggered arrangement
337. Origins of modern human ancestry
338. Bayesian Calibration of Expensive Computer Experiments
339. Application of Bayesian network and artificial intelligence to reduce accident/incident rates in oil & gas companies
340. Identification, Mitigation, and Adaptation to Salinization on Working Lands in the US Southeast
341. Introduction to Population Genomics Methods
342. Efficient and accurate structural fusion of Bayesian networks
343. Uncertainty quantification of percolating electrical conductance for wavy carbon nanotube-filled polymer nanocomposites using Bayesian inference
344. Dropconnect is effective in modeling uncertainty of bayesian deep networks
345. Sequential sparse Bayesian learning with applications to system identification for damage assessment and recursive reconstruction of image sequences
346. A Critical Evaluation of the FBST ev for Bayesian Hypothesis Testing
347. Online remaining-useful-life estimation with a Bayesian-updated expectation-conditional-maximization algorithm and a modified Bayesian-model-averaging method
348. Expert opinion as priors for random effects in Bayesian prediction models: Subclinical ketosis in dairy cows as an example
349. Bayesian Learning and Model Class Selection for Complex Dynamic Systems
350. Empirical Decision Rules for Improving the Uncertainty Reporting of Small Sample System Usability Scale Scores
351. How to Interpret Belief Hierarchies in Bayesian Game Theory: A Dilemma for the Epistemic Program
352. Conceptual Bayesian networks for contaminated site ecological risk assessment and remediation support
353. Bayesian Surrogate Analysis and Uncertainty Propagation with Explicit Surrogate Uncertainties and Implicit Spatio-temporal Correlations
354. Design of Optimal Bayesian Reliability Test Plans for a Parallel System Based on Type-II Censoring
355. Posterior contraction in sparse generalized linear models
356. Greed is good: Exploration and exploitation trade-offs in Bayesian optimisation
357. Hybrid Random Networks Mixing Preferential Attachment with Uniform Attachment Mechanisms
358. Can we trust Bayesian uncertainty quantification from Gaussian process priors with squared exponential covariance kernel?
359. How influential factors affect aviation networks: A Bayesian network analysis
360. A Comprehensive Survey on Effective Spectrum Sensing in 5G Wireless Networks through Cognitive Radio Networks
361. A Constrained Semi-parametric Gaussian Process Using Bayesian-Entropy Regression
362. Sparse Bayesian mass-mapping with uncertainties: Full sky observations on the celestial sphere
363. Computation of time probability distributions for the occurrence of uncertain future events
364. How to extend Elo: a Bayesian perspective
365. Simplified Analysis of Incomplete Data on Risk
366. Computation of Photoacoustic Absorber Size from Deconvolved Photoacoustic Signal Using Estimated System Impulse Response
367. Bayesian Update with Importance Sampling: Required Sample Size
368. STA 640—Causal Inference
369. Bayesian Monte Carlo Simulation–Driven Approach for Construction Schedule Risk Inference
370. Dimensionality Reduction for Multi-Fidelity Gaussian Processes using Bayesian Adaptation
371. Bayesian estimation of a competing risk model based on Weibull and exponential distributions under right censored data
372. Bayesian hierarchical and measurement uncertainty model building for liquefaction triggering assessment
373. Active learning Bayesian support vector regression model for global approximation
374. Arithmetic operation signs elicit spatial associations: A confirmatory Bayesian analysis
375. Rank-normalization, folding, and localization: An improved R for assessing convergence of MCMC
376. Do school closures reduce community transmission of COVID-19? A systematic review of observational studies
377. One-shot cluster-based approach for the detection of COVID–19 from chest X–ray images
378. ASFGNN: Automated separated-federated graph neural network
379. Functional Priors for Bayesian Neural Networks through Wasserstein Distance Minimization to Gaussian Processes
380. Bayesian personalized ranking based on multiple-layer neighborhoods
381. Integrative Learning for Population of Dynamic Networks with Covariates
382. Bayesian Optimization
383. Use of Bayesian Model Averaging to Estimate Model Uncertainty for Predicting Strain in a Four-Layered Flexible Pavement
384. On the founder effect in COVID-19 outbreaks: how many infected travelers may have started them all?
385. Bayesian Multivariate Mixed-Effects Location Scale Modeling of Longitudinal Relations among Affective Traits, States, and Physical Activity
386. Learning optimal Bayesian prior probabilities from data
387. Online estimation of DSGE models
388. Objective Bayesian analysis for the differential entropy of the Weibull distribution
389. Bayesian optimization of variable-size design space problems
390. Bayesian probabilistic propagation of imprecise probabilities with large epistemic uncertainty
391. Retrospective Analysis and Bayesian Model Averaging of CMIP6 Precipitation in the Nile River Basin
392. Modal Analysis of Beam Structures with Random Field Models at Multiple Scales
393. Impact of different restoration methods on coastal wetland loss in Louisiana: Bayesian analysis
394. Recent hybrid speciation at the origin of the narrow endemic Pulmonaria helvetica
395. Fast hybrid tempered ensemble transform filter formulation for Bayesian elliptical problems via Sinkhorn approximation
396. General framework for cosmological dark matter bounds using -body simulations
397. Influence of data acquisition on the Bayesian calibration of urban building energy models
398. Bayesian Uncertainty Quantification for Low-rank Matrix Completion
399. A Bayesian approach for assessing the boundary between desirable and undesirable environmental status–An example from a coastal fish indicator in the …
400. Application of probabilistic assessment for optimal prediction in active noise control algorithms

Research Topics Computer Science