Markov processes.

Markov models for handwriting recognition by: (Electronic resources)

Markov decision processes and the belief-desire-intention model = bridging the gap for autonomous agents / by: (Electronic resources)

Functional inequalities, Markov semigroups and spectral theory by: (Electronic resources)

Markov Processes, Gaussian Processes, and Local Times. by: (Electronic resources)

Markov networks in evolutionary computation by: (Electronic resources)

An Introduction to Markov Processes by: (Electronic resources)

Optimization, control, and applications of stochastic systems = in honor of Onesimo Hernandez-Lerma / by: (Electronic resources)

Inference in Hidden Markov Models by: (Electronic resources)

Measure-valued branching markov processes by: (Electronic resources)

Markov Models for Pattern Recognition = From Theory to Applications / by: (Electronic resources)

Markov paths, loops and fields = Ecole d'Ete de Probabilites de Saint-Flour XXXVIII - 2008 / by: (Electronic resources)

Continuous-time markov decision processes = theory and applications / by: (Electronic resources)

Applied stochastic processes and control for Jump-diffusions = modeling, analysis, and computation / by: (Electronic resources)

Markov processes, Feller semigroups and evolution equations by: (Electronic resources)

Boundary value problems and Markov processes by: (Electronic resources)

An Introduction to Queueing Theory and Matrix-Analytic Methods by: (Electronic resources)

Fluctuations in markov processes = time symmetry and martingale approximation / by: (Electronic resources)

Hidden Markov models and dynamical systems by: (Electronic resources)

Control of Singular Systems with Abrupt Changes by: (Electronic resources)

Hamiltonian cycle problem and markov chains by: (Electronic resources)

Basic Principles and Applications of Probability Theory by: (Electronic resources)

Analyzing markov chains using kronecker products = theory and applications / by: (Electronic resources)

Hidden Markov models for time series = an introduction using R / by: (Electronic resources)

Stochastic population processes = analysis, approximations, simulations / by: (Electronic resources)

Introducing Monte Carlo methods with R by: (Electronic resources)

Markov Processes, Brownian Motion, and Time Symmetry by: (Electronic resources)

Examples in Markov Decision Processes by: (Electronic resources)

Nonlinear financial econometrics.. Markhov switching models, persistence and nonlinear cointegration by: (Electronic resources)

An inductive logic programming approach to statistical relational learning by: (Electronic resources)

Bioinformatics = sequence alignment and Markov models / by: (Electronic resources)