Markov processes.
概要
| 作品: | 258 作品在 89 項出版品 89 種語言 | |
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書目資訊
Dependability for systems with a partitioned state space : = Markov and semi-Markov theory and computational implementation /
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Continuous strong Markov processes in dimension one : = a stochastic calculus approach /
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Mathematical theory of nonequilibrium steady states : = on the frontier of probability and dynamical systems /
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State-space models with regime switching = classical and Gibbs-sampling approaches with applications /
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Limit theorems for Markov chains and stochastic propertiesof dynamical systems by quasi-compactness
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Optimization, control, and applications of stochastic systems = in honor of Onesimo Hernandez-Lerma /
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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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Optimization of stochastic discrete systems and control on complex networks = computational networks /
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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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Functional inequalities, Markov semigroups and spectral theory = = Fan han bu deng shi, Ma'erkefu ban qun yu pu li lun /
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Mathematical theory of reliability of time dependent systems with practical applications /
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Limit theorems for Markov chains and stochastic properties of dynamical systems by quasi-compactness /
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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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Continuous strong Markov processes in dimension one = a stochastic calculus approach /
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Denumerable Markov chains : = generating functions, boundary theory, random walks on trees /
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Nonlinear financial econometrics.. Markhov switching models, persistence and nonlinear cointegration
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Current challenges in stability issues for numerical differential equations : = Cetraro, Italy 2011 /
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Input modeling with phase-type distributions and Markov models = theory and applications /
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Applied stochastic processes and control for Jump-diffusions = modeling, analysis, and computation /
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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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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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Distribution theory of runs and patterns and its application : = a finite Markov chain imbedding approach /
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Applied stochastic processes and control for Jump-diffusions : = modeling, analysis, and computation /
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Queueing networks and Markov chains : = modeling and performance evaluation with computer science applications /
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Probability, Markov chains, queues, and simulation : = the mathematical basis of performance modeling /
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Optimized response-adaptive clinical trials = sequential treatment allocation based on Markov decision problems /
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System dependability evaluation including S-dependency and uncertainty = Model-Driven Dependability Analyses /
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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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Stochastic exponential growth and lattice gases = statistical mechanics of stochastic compounding processes /
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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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Markov decision processes and reinforcement learning for timely UAV-IoT data collection applications
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