Markov processes.
Overview
| Works: | 252 works in 83 publications in 83 languages | |
|---|---|---|
Titles
Dependability for systems with a partitioned state space : = Markov and semi-Markov theory and computational implementation /
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State-space models with regime switching = classical and Gibbs-sampling approaches with applications /
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Discrete-Time Markov Chains = Two-Time-Scale Methods and Applications /
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Markov Models for Pattern Recognition = From Theory to Applications /
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Continuous strong Markov processes in dimension one = a stochastic calculus approach /
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Analyzing markov chains using kronecker products = theory and applications /
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Fluctuations in markov processes = time symmetry and martingale approximation /
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Semi-Markov processes = applications in system reliability and maintenance /
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Structured stochastic matrices of M/G/1 type and their applications /
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Limit theorems on large deviations for Markov stochastic processes /
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Markov decision processes : = discrete stochastic dynamic programming /
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Discrete-time Markov control processes : = basic optimality criteria /
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Matrix-geometric solutions in stochastic models : = an algorithmic approach /
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Mathematical theory of reliability of time dependent systems with practical applications /
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Continuous strong Markov processes in dimension one : = a stochastic calculus approach /
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Limit theorems for Markov chains and stochastic properties of dynamical systems by quasi-compactness /
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Markov chains : = Gibbs fields, Monte Carlo simulation, and queues /
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Mathematical theory of nonequilibrium steady states : = on the frontier of probability and dynamical systems /
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Distribution theory of runs and patterns and its application : = a finite Markov chain imbedding approach /
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Numerical methods for stochastic control problems in continuous time /
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An inductive logic programming approach to statistical relational learning /
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Stochastic relations : = foundations for Markov transition systems /
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Applied stochastic processes and control for Jump-diffusions : = modeling, analysis, and computation /
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Semi-Markov chains and hidden semi-Markov models toward applications = their use in reliability and DNA analysis /
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Limit theorems for Markov chains and stochastic propertiesof dynamical systems by quasi-compactness
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An inductive logic programming approach to statistical relational learning
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Denumerable Markov chains : = generating functions, boundary theory, random walks on trees /
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Applied stochastic processes and control for Jump-diffusions = modeling, analysis, and computation /
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Stochastic population processes = analysis, approximations, simulations /
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Optimization, control, and applications of stochastic systems = in honor of Onesimo Hernandez-Lerma /
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Stochastic population processes : = analysis, approximations, simulations /
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Nonlinear financial econometrics.. Markhov switching models, persistence and nonlinear cointegration
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Geometrically constructed Markov chain Monte Carlo study of quantum spin-phonon complex systems
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An introduction to Markov State Models and their application to long timescale molecular simulation
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Input modeling with phase-type distributions and Markov models = theory and applications /
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Optimization of stochastic discrete systems and control on complex networks = computational networks /
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Optimized response-adaptive clinical trials = sequential treatment allocation based on Markov decision problems /
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Handbook of Markov decision processes : = methods and applications /
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Markov decision processes : = discrete stochastic dynamic programming /
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Monotonicity in markov reward and decision chains = theory and applications /
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Building dialogue POMDPs from expert dialogues = an end-to-end approach /
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Functional inequalities, Markov semigroups and spectral theory = = Fan han bu deng shi, Ma'erkefu ban qun yu pu li lun /
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Continuous-time Markov chains : = an applications-oriented approach /
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The Dynkin festschrift : = Markov processes and their applications /
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Graph directed Markov systems : = geometry and dynamics of limit sets /
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Discrete-time Markov chains : = two-time-scale methods and applications /
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Queueing networks and Markov chains : = modeling and performance evaluation with computer science applications /
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Hidden Markov models for time series : = an introduction using R /
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Performance modeling of communication networks with Markov chains /
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Probability, Markov chains, queues, and simulation : = the mathematical basis of performance modeling /
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Advanced Markov chain Monte Carlo methods : = learning from past samples /
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Markov chain Monte Carlo : = stochastic simulation for Bayesian inference /
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Selected topics on continuous-time controlled Markov chains and Markov games
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Current challenges in stability issues for numerical differential equations : = Cetraro, Italy 2011 /
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Transmission channels of financial shocks to stock, bond, and asset-backed markets = an empirical model /
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Computing characterizations of drugs for ion channels and receptors using Markov models
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Advances in the control of markov jump linear systems with no mode observation
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System dependability evaluation including S-dependency and uncertainty = Model-Driven Dependability Analyses /
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Monotonicity in markov reward and decision chains = theory and applications /
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Next generation and advanced network reliability analysis = using Markov models and software reliability engineering /
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Many agent games in socio-economic systems = corruption, inspection, coalition building, network growth, security /
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Zero-sum discrete-time Markov games with unknown disturbance distribution = discounted and average criteria /
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Semi-markov models = control of restorable systems with latent failures /
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Generators of Markov chains = from a walk in the interior to a dance on the boundary /
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Continuous-time Markov decision processes = Borel space models and general control strategies /
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Copula-based Markov models for time series = parametric inference and process control /
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Boundary value problems and Markov processes = functional analysis methods for Markov processes /
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Perturbed semi-markov type processes.. II,. Ergodic theorems for multi-alternating regenerative processes
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Perturbed semi-Markov type processes.. I,. Limit theorems for rare-event times and processes
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MCMC from scratch = a practical introduction to Markov Chain Monte Carlo /
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Optimization and games for controllable Markov chains = numerical methods with application to finance and engineering /
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Markov decision processes and stochastic positional games = optimal control on complex networks /
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Real analysis methods for markov processes = singular integrals and Feller semigroups /
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Stochastic exponential growth and lattice gases = statistical mechanics of stochastic compounding processes /
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Robust control for discrete-time Markovian jump systems in the finite-time domain
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Continuous parameter markov processes and stochastic differential equations
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Stochastic neutron transport = and non-local branching markov processes /
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