Research Area/ Research Interest: Stochastic processes

Research Paper Topics for Masters and Ph.D. Thesis and publication

1.  Convergence of stochastic processes
2.  Applied stochastic processes
3.  Applied probability and stochastic processes
4.  Stochastic processes and models
5. An introduction to stochastic processes in physics
6.  An introduction to stochastic processes : with special reference to methods and applications
7. stochastic processes with R
8. Simulation of stochastic processes by spectral representation
9.  Stochastic processes in cell biology
10.  Stochastic processes and filtering theory
11.  Selected papers on noise and stochastic processes
12. Discrete stochastic processes
13.  The elements of stochastic processes with applications to the natural sciences
14. Gaussian stochastic processes in physics
15. Stochastic processes and statistical inference
16.  An introduction to stochastic processes and their applications
17. Some evolutionary stochastic processes
18. Some problems of stochastic processes in genetics
19. Semi-stable stochastic processes
20.  Stochastic processes for insurance and finance
21.  Controlled stochastic processes
22.  Stochastic processes with applications to finance
23.  Probability and stochastic processes
24.  Theory and applications of stochastic processes : an analytical approach
25. Stochastic processes in physics and chemistry
26.  Stochastic processes : basic theory and its applications
27. Stochastic-process limits: an introduction to stochastic-process limits and their application to queues
28.  Limit theorems for stochastic processes
29. The valuation of options for alternative stochastic processes
30. Regenerative stochastic processes
31.  Combinatorial Methods in the Theory of Stochastic Processes.
32.  Stochastic processes : an introduction
33. The prediction theory of multivariate stochastic processes
34. Stochastic processes and population growth
35.  Probability, random variables and stochastic processes
36.  Essentials of stochastic processes
37.  Stochastic processes in the neurosciences
38.  Basic stochastic processes : a course through exercises
39.  Probability, statistics, and stochastic processes
40.  An introduction to probability and stochastic processes
41.  How to gamble if you must: Inequalities for stochastic processes
42.  Stochastic processes in engineering systems
43. A use of complex probabilities in the theory of stochastic processes
44. Stochastic processes on a sphere
45.  Introduction to probability and stochastic processes with applications
46.  Stochastic processes in queueing theory
47. geometry  Probability and stochastic processes with applications
48.  Stochastic Processes problems and solutions
49. Limit theorems for stochastic processes
50.  Filtering for stochastic processes with applications to guidance
51.  Functional analysis for probability and stochastic processes : an introduction
52. Stochastic processes depending on a continuous parameter
53.  Fundamentals of probability and stochastic processes with applications to communications
54. Analyzing social networks as stochastic processes
55.  Introduction to Continuous-Time Stochastic Processes
56. On an enriched collection of stochastic processes
57.  Stochastic processes : a survey of the mathematical theory
58. Modeling and estimation of multiresolution stochastic processes
59. Quantum stochastic processes
60. geometry  On the notion of recurrence in discrete stochastic processes
61.  Elementary probability theory with stochastic processes
62.  Stochastic processes : lectures given at Aarhus University
63.  Stochastic processes in science, engineering and finance
64.  Stochastic processes , estimation, and control
65.  Stationary and related stochastic processes : Sample function properties and their applications
66. Diffusion equation and stochastic processes
67. Extreme values of independent stochastic processes
68.  Stochastic processes for physicists: understanding noisy systems
69. On the theory of stochastic processes in nuclear reactors
70. geometry  An occupation time theorem for a class of stochastic processes
71. Extremal theory for stochastic processes
72. Compositional applications of stochastic processes
73.  Stochastic processes and orthogonal polynomials
74. Quantum stochastic processes
75. Simulation of ergodic multivariate stochastic processes
76.  Probability and stochastic processes : a friendly introduction for electrical and computer engineers
77.  Random variables and stochastic processes
78. Fast, accurate algorithm for numerical simulation of L
79.  Sojourns and extremes of stochastic processes
80. Time-reversibility of linear stochastic processes
81.  Probability theory and stochastic processes
82.  Stochastic processes : With applications to reliability theory
83. Analysis of time series from stochastic processes
84. Stochastic processes and statistical physics
85. Quantum measurements and stochastic processes
86. A characterization of the stochastic process underlying a stochastic Petri net
87. Tractable inference for complex stochastic processes
88.  Brownian motion: an introduction to stochastic processes
89. Geometry  On convergence of stochastic processes
90.  Topics in Stochastic Processes : Probability and Mathematical Statistics: A Series of Monographs and Textbooks
91.  Numerical methods for stochastic processes
92. geometry  Modelling correlation as a stochastic process
93. Control charts and stochastic processes
94. An essay on the general theory of stochastic processes
95.  Nonparametric statistics for stochastic processes : estimation and prediction
96. A contribution to the theory of stochastic processes
97.  Stochastic processes and applications in biology and medicine. II. Models
98.  Large deviations for stochastic processes
99. Upper and lower bounds for stochastic processes
100. A stochastic processes toolkit for risk management
101. On some classes of non stationary stochastic processes
102. Controlling a stochastic process with unknown parameters
103. Modeling of bounded stochastic processes
104. Fourier analysis of stochastic processes
105.  An introduction to probability and stochastic processes
106. Disentangling the importance of ecological niches from stochastic processes across scales
107. On empirical spectral analysis of stochastic processes
108. Optimal adaptive estimation of sampled stochastic processes
109. RETRACTED CHAPTER: On the Theory of Stochastic Processes, with Particular Reference to Applications
110. Spline functions and stochastic processes
111.  Self similar processes
112. Convergence criteria for multi parameter stochastic processes and some applications
113.  Introduction to stochastic process
114. Separation of stochastic processes
115. The theory of fuzzy stochastic processes
116.  Stochastic processes in physics, chemistry,
117. Stochastic processes occurring in the theory of queues and their analysis by the method of the imbedded Markov chain
118.  Stochastic processes in quantum physics
119.  On the use of stochastic processes in modeling reliability problems
120. Stochastic harmonic function representation of stochastic processes
121. The analysis of non-Markovian stochastic processes by the inclusion of supplementary variables
122. On weak convergence of stochastic processes with multidimensional time parameter
123. The ergodic theory of subadditive stochastic processes
124.  Verification and planning for stochastic processes with asynchronous events
125. Quantum stochastic processes II
126. Density estimation, stochastic processes and prior information
127.  Stochastic processes : estimation, optimisation and analysis
128.  Semimartingales: a course on stochastic processes
129.  Non-linear transformations of stochastic processes
130.  Stationary stochastic processes : theory and applications
131. Monte Carlo techniques for prediction and filtering of non-linear stochastic processes
132. geometry  Using Learning for Approximation in Stochastic Processes .
133. Study of dependence for some stochastic processes
134. On stochastic processes defined by differential equations with a small parameter
135.  An introduction to sparse stochastic processes
136. geometry  On linear statistical problems in stochastic processes
137.  Stochastic processes and long range dependence
138. The foundations of finite sample estimation in stochastic processes
139. Asymptotic theory of certain” goodness of fit” criteria based on stochastic processes
140. Auto-regressive model for non stationary stochastic processes
141.  Stochastic processes and distribution of gene frequencies under natural selection
142. Approximate option valuation for arbitrary stochastic processes
143.  Statistical analysis of stochastic processes in time
144.  Model Theory of Stochastic Processes : Lecture Notes in Logic 14
145. Records in stochastic processes —theory and applications
146.  Path integrals for stochastic processes : An i
147. Markovian representation of stochastic processes by canonical variables
148. The fundamental theorem of asset pricing for unbounded stochastic processes
149. Stochastic process methods with an application to budgetary data
150. Convergence of distributions generated by stationary stochastic processes
151. Stochastic processes or the statistics of change
152. An introduction to the theory of self-similar stochastic processes
153.  Simulation of stochastic processes with given accuracy and reliability
154. Numerical challenges in the use of polynomial chaos representations for stochastic processes
155. Unifying evolutionary dynamics: from individual stochastic processes to macroscopic models
156.  Path integrals in physics: Volume I stochastic processes and quantum mechanics
157. Stochastic processes : Time evolution, symmetries and linear response
158. Rattling models from deterministic to stochastic processes
159.  Applied stochastic processes and control for jump-diffusions: modeling, analysis and computation
160. On the use of the normal approximation in the treatment of stochastic processes
161. The harmonic analysis of stationary stochastic processes
162. Large deviations in dynamical systems and stochastic processes
163. On stochastic processes (I) Infinitely divisible laws of probability
164. Feedback between stationary stochastic processes
165. Simulation of highly skewed non-Gaussian stochastic processes
166.  Multidimensional stochastic processes as rough paths: theory and applications
167. Markovian representation of stochastic processes and its application to the analysis of autoregressive moving average processes
168. Comparative study of estimation methods for continuous time stochastic processes
169.  Simulation and chaotic behavior of alpha-stable stochastic processes
170. Soil hydraulic properties as stochastic processes : I. An analysis of field spatial variability
171. A correspondence between Bayesian estimation on stochastic processes and smoothing by splines
172.  The generic chaining: upper and lower bounds of stochastic processes
173.  Stationary Stochastic Processes
174. The prediction theory of multivariate stochastic processes
175.  Elementary probability theory: with stochastic processes and an introduction to mathematical finance
176. Simulation of non stationary stochastic processes by spectral representation
177.  Stochastic processes in magnetic resonance
178.  Statistical mechanics, kinetic theory, and stochastic processes
179. Wavelet representations of stochastic processes and multi resolution stochastic models
180.  Stationary stochastic processes for scientists and engineers
181. A model of stochastic process switching
182.  Probability, stochastic processes , and queueing theory: the mathematics of computer performance modeling
183. The comparison method for stochastic processes
184. Speed limit for classical stochastic processes
185. On stochastic processes derived from Markov chains
186. Composite stochastic processes
187. On regression representations of stochastic processes
188. An algorithm for detecting a change in a stochastic process
189. Ergodicity of stochastic processes describing the operation of open queueing networks
190. Stochastic process algebras
191. geometry  Stochastic processes . I. Asymptotic behaviour and symmetries
192. Signature moments to characterize laws of stochastic processes
193.  Fundamentals of probability with stochastic process
194.  Semiclassical analysis for diffusions and stochastic processes
195. Stochastic processes for interest rates and equilibrium bond prices
196.  Stochastic processes in demography and their computer implementation
197.  Almost periodic stochastic processes
198.  Physics of stochastic processes : how randomness acts in time
199. Stochastic processes in postural center-of-pressure profiles
200. An introduction to functional central limit theorems for dependent stochastic processes
201. Simulating non-Markovian stochastic processes
202. Spectral analysis of the convolution and filtering of non-stationary stochastic processes
203. On asymptotic posterior normality for stochastic processes
204.  Reconstructing macroeconomics: a perspective from statistical physics and combinatorial stochastic processes
205. Relativistic stochastic processes
206. Observing stochastic processes , and approximate transform inversion
207. Stationary min-stable stochastic processes
208. Stochastic processes in estimation theory
209. From individual stochastic processes to macroscopic models in adaptive evolution
210. Maximum likelihood estimation for continuous-time stochastic processes
211. geometry  A sampling theorem for stationary (wide sense) stochastic processes .
212. Optimal control of probability density functions of stochastic processes
213. Modeling stochastic processes in plant pathology
214. Quantum stochastic processes as models for state vector reduction
215. Geometry  On Wright-convex stochastic processes
216. Mutational order: a major stochastic processin evolut
217. Stochastic processes in electrochemistry
218. Markov analysis of land use change—an application of stochastic processes to remotely sensed data
219. Distribution theory, stochastic processes and infectious disease modelling
220.  Asymptotic statistics: with a view to stochastic processes
221. Effective interactions and large deviations in stochastic processes
222. Leaf optical system modeled as a stochastic process
223. Limit theorems for stochastic processes with independent increments
224. Learning and designing stochastic processes from logical constraints
225. Convergence study of the truncated Karhunen–Loeve expansion for simulation of stochastic processes
226.  Monte-Carlo methods and stochastic processes : from linear to non-linear
227. Creativity as a Constrained Stochastic Process.
228.  Canonical correlation for stochastic processes
229. geometry  Criteria for the recurrence or transience of stochastic process. I
230.  On the strong law of large numbers for a class of stochastic processes
231. Generating quasi-random paths for stochastic processes
232. The nonlinear Gaussian spectrum of log-normal stochastic processes and variables
233.  Almost automorphy and various extensions for stochastic processes
234. Laplace transforms and suprema of stochastic processes
235. Stochastic processes directed by randomized time
236. On the asymptotic distribution of the autocorrelations of a sample from a linear stochastic process
237. A stochastic process approach to false discovery control
238.  Stochastic processes are key determinants of short-term evolution in influenza a virus
239.  Functional canonical analysis for square integrable stochastic processes
240. Generation of non-Gaussian stationary stochastic processes
241. Cycloergodic properties of discrete-parameter non stationary stochastic processes
242. Extreme values in uniformly mixing stationary stochastic processes
243. Strong mixing properties of linear stochastic processes
244. Evidence that hematopoiesis may be a stochastic process in vivo
245.  A Fokker–Planck control framework for multidimensional stochastic processes
246. A stochastic process approach to the analysis of temporal dynamics in transportation networks
247. A stochastic harmonic function representation for non-stationary stochastic processes
248. Extreme value theory for a class of discrete distributions with applications to some stochastic processes
249. A review of entropy measures for uncertainty quantification of stochastic processes
250. A subordinated stochastic process model with finite variance for speculative prices
251. Quantum stochastic processes and quantum non-Markovian phenomena
252. Statistical methods for investigating phase relations in stationary stochastic processes
253. Is quantum mechanics equivalent to a classical stochastic process?
254. Microdynamics and nonlinear stochastic processes of gross variables