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Stochastic Integration and Differential Equations

Statistical Estimation : Asymptotic Theory

Stochastic Networks and Queues

Applied probability and queues - 51

Stochastic Integration and Differential Equations

Stochastic Approximation and Recursive Algorithms and Applications

Statistics of Random Processes : I. General Theory

Image Analysis, Random Fields and Markov Chain Monte Carlo Methods : A Mathematical Introduction

Statistics of Random Processes II : Applications

Applied Probability and Queues

Stochastic Networks and Queues

Stochastic Controls : Hamiltonian Systems and HJB Equations

Controlled Diffusion Processes

Linear Multivariable Control: A Geometric Approach - 10

Random iterative models - 34

Stochastic integration and differential equations - 21

Brownian Motion

Image Analysis, Random Fields and Dynamic Monte Carlo Methods : A Mathematical Introduction

Adaptive Algorithms and Stochastic Approximations

Stochastic ordinary and stochastic partial differential equations: transition from microscopic to macroscopic equations - 58

Statistics of random processes.: (Applications) - 6

Stochastic stability of differential equations - 66

Hidden Markov models: estimation and control - 29

Stochastic Controls : Hamiltonian Systems and HJB Equations

Difference Methods and Their Extrapolations

Conjugate Direction Methods in Optimization - 12

Stochastic Approximation and Recursive Algorithms and Applications

Stochastic integration and differential equations - 21

Applications of Mathematics: Applied Functional Analysis - 3

Statistics of Random Processes II: Applications

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