# Bayesian computation Research Topics Ideas

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

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