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1.
Information flow in stochastic optimal control and a stochastic representation theorem for Meyer-measurable processes
by Beßlich, David, Ph.D.  Technische Universitaet Berlin (Germany). 2019: 27552741.
2.
Stochastic Processes in Physics: Deterministic Origins and Control
by Demers, Jeffery, Ph.D.  University of Maryland, College Park. 2017: 210 pages; 10253623.
6.
Stochastic particle tracking modeling for sediment transport in open channel flows
by Oh, Jungsun, Ph.D.  State University of New York at Buffalo. 2011: 182 pages; 3460786.
7.
Total variation of Gaussian processes and local times of associated Lévy processes
by Lovell, Jonathan R., Ph.D.  City University of New York. 2009: 71 pages; 3354729.
9.
Spatial Stochastic Simulation of Biochemical Systems
by Drawert, Brian J., D.Eng.  University of California, Santa Barbara. 2013: 208 pages; 3559784.
10.
Mathematical analysis of Markov models for social processes
by Whitmeyer, Joseph M., Ph.D.  The University of North Carolina at Charlotte. 2010: 50 pages; 3439279.
11.
Conditions for deterministic limits of markov jump processes: The Kurtz theorem in chemistry
by Sedova, Ada, M.A.  State University of New York at Albany. 2015: 133 pages; 1588003.
12.
Uniqueness Properties in the Theory of Stochastic Differential Equations
by Gomez Henao, Alejandro, Ph.D.  University of Rochester. 2013: 56 pages; 3555025.
13.
Structural Complexity in Stationary Stochastic Dynamical Systems
by Ellison, Christopher James, Ph.D.  University of California, Davis. 2011: 182 pages; 3482120.
14.
Simulation and Control of Biological Stochasticity
by Rackauckas, Christopher Vincent, Ph.D.  University of California, Irvine. 2018: 209 pages; 10827971.
15.
Stochastic Ising Models at Zero Temperature on Various Graphs
by Eckner, Sinziana Maria, Ph.D.  New York University. 2014: 69 pages; 3665138.
16.
Discrete time stochastic volatility model
by Tang, Guojing, Ph.D.  University of Maryland, College Park. 2009: 99 pages; 3359756.
17.
Scheduling policy design using stochastic dynamic programming
by Glaubius, Robert, Ph.D.  Washington University in St. Louis. 2009: 159 pages; 3386643.
18.
Particle filtering for stochastic control and global optimization
by Zhou, Enlu, Ph.D.  University of Maryland, College Park. 2009: 138 pages; 3372999.
19.
A New Control Paradigm for Stochastic Differential Equations
by Schmid, Matthias J. A., Ph.D.  State University of New York at Buffalo. 2017: 310 pages; 10285670.
20.
Beyond dynamic textures: A family of stochastic dynamical models for video with applications to computer vision
by Chan, Antoni Bert, Ph.D.  University of California, San Diego. 2008: 291 pages; 3331461.
21.
Stationary distributions for stochastic delay differential equations with non-negativity constraints
by Kinnally, Michael Sean, Ph.D.  University of California, San Diego. 2009: 124 pages; 3355747.
23.
Stochastic Cellular Manufacturing System Design and Control
by Egilmez, Gokhan, Ph.D.  Ohio University. 2012: 257 pages; 10631052.
25.
Statistics for Diffusion Processes with Low and High-Frequency Observations
by Chorowski, Jakub Stanisław, Ph.D.  Humboldt Universitaet zu Berlin (Germany). 2016: 150 pages; 10729892.
26.
Affine processes in finance: Numerical approximation, simulation and model properties
by Kim, Kyoung-Kuk, Ph.D.  Columbia University. 2008: 187 pages; 3333483.
27.
Integrated process design, planning, and stochastic-system optimization
by Elsafadi, Osama Ahmed, D.E.  Southern Methodist University. 2009: 196 pages; 3366146.
29.
Simulation-based methods for stochastic control and global optimization
by Wang, Yongqiang, Ph.D.  University of Maryland, College Park. 2011: 195 pages; 3478991.
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