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Markov processes
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The concept ** Markov processes** represents the subject, aboutness, idea or notion of resources found in **University of Liverpool**.

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Markov processes
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**Markov processes**represents the subject, aboutness, idea or notion of resources found in**University of Liverpool**.- Label
- Markov processes

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- A course in applied stochastic processes
- Advances in the control of Markov jump linear systems with no mode observation
- American-type options : stochastic approximation methods. Volume 1
- An inductive logic programming approach to statistical relational learning
- An introduction to Markov State Models and their application to long timescale molecular simulation
- An introduction to Markov processes
- An introduction to Markov processes
- An introduction to queueing theory and matrix-analytic methods
- An introduction to queueing theory and matrix-analytic methods
- Analysis and synthesis of singular systems with time-delays
- Analyzing markov chains using kronecker products : theory and applications
- Applied semi-Markov processes
- Applied stochastic processes and control for Jump-diffusions : modeling, analysis, and computation
- Approximate quantum Markov chains
- Basic principles and applications of probability theory
- Bioinformatics : the machine learning approach
- Bioinformatics : the machine learning approach
- Bioinformatics : the machine learning approach
- Boundary value problems and Markov processes
- Boundary value problems and Markov processes
- Brownian motion : fluctuations, dynamics, and applications
- Brownian motion and classical potential theory
- Building dialogue POMDPs from expert dialogues : an end-to-end approach
- Competitive Markov decision processes
- Computing characterizations of drugs for ion channels and receptors using Markov models
- Constrained Markov decision processes
- Continuous average control of piecewise deterministic Markov processes
- Continuous-time Markov chains : an applications-oriented approach
- Continuous-time Markov chains and applications : a two-time-scale approach
- Continuous-time Markov decision processes : theory and applications
- Continuous-time Markov jump linear systems
- Continuous-time markov decision processes : theory and applications
- Control and filtering for semi-Markovian jump systems
- Control of singular systems with random abrupt changes
- Controlled Markov processes
- Controlled Markov processes and viscosity solutions
- Controlled queueing systems
- Decentralised reinforcement learning in Markov games
- Degenerate diffusion operators arising in population biology
- Denumerable Markov chains
- Denumerable Markov chains : generating functions, boundary theory, random walks on trees
- Design and analysis of simulation experiments
- Deterministic and stochastic optimal control
- Diffusions, Markov processes, and martingales
- Diffusions, Markov processes, and martingales
- Diffusions, Markov processes, and martingales
- Diffusions, Markov processes, and martingales, Volume 1, Foundations
- Diffusions, markov processes and martingales, Volume 2, Itô Calculus
- Dirichlet forms and symmetric Markov processes
- Dirichlet forms and symmetric Markov processes
- Discrete-time Markov chains : two-time-scale methods and applications
- Discrete-time Markov control processes : basic optimality criteria
- Distribution theory of runs and patterns and its applications : a finite Markov chain imbedding approach
- Dynamic Markov bridges and market microstructure : theory and applications
- Dynamic programming and inventory control
- Evolution algebras and their applications
- Examples in Markov decision processes
- Examples in Markov decision processes
- Finite Markov chains and algorithmic applications
- Finite Markov processes and their applications
- Finite dynamic programming: an approach to finite Markov decision processes
- Finite mixture and Markov switching models
- Finite state Markovian decision processes
- Fluctuations in markov processes : time symmetry and martingale approximation
- Fractional dynamics on networks and lattices
- From Markov chains to non-equilibrium particle systems
- Functional inequalities, Markov semigroups and spectral theory
- Further topics on discrete-time Markov control processes
- General irreducible Markov chains and non-negative operators
- General irreducible Markov chains and non-negative operators
- Generators of Markov chains : from a walk in the interior to a dance on the boundary
- Gibbs states on countable sets
- Graph directed Markov systems : geometry and dynamics of limit sets
- Graph directed Markov systems : geometry and dynamics of limit sets
- Hamiltonian cycle problem and markov chains
- Handbook for Markov chain Monte Carlo
- Handbook of Markov chain Monte Carlo
- Handbook of Markov decision processes : methods and applications
- Hidden Markov and other models for discrete-valued time series
- Hidden Markov models : estimation and control
- Hidden Markov models in finance
- Hidden Markov processes : theory and applications to biology
- Hidden Semi-Markov models : theory, algorithms and applications
- Hidden semi-markov models : theory, algorithms and applications
- Inference in hidden Markov models
- Initiation aux Probabilités : et aux chaînes de Markov
- Input modeling with phase-type distributions and Markov models : theory and applications
- Introducing Monte Carlo methods with R
- Introduction to MCMC methods and the Gibbs sampler
- Introduction to hidden semi-Markov models
- Invariant probabilities of transition functions
- Kronecker modeling and analysis of multidimensional Markovian systems
- Labelled Markov processes
- Large deviations for stochastic processes
- Lecture notes on limit theorems for Markov chain transition probabilities
- Limit theorems for null recurrent Markov processes
- Limit theorems on large deviations for Markov stochastic processes
- Locally interacting systems and their application in biology: proceedings of the School-Seminar on Markov Interaction Processes in Biology, held in Pushchino, Moscow Region, March 1976
- Markov Chains and Stochastic Stability
- Markov bases in algebraic statistics
- Markov chain Monte Carlo : innovations and applications
- Markov chain Monte Carlo : stochastic simulation for Bayesian inference
- Markov chain Monte Carlo in practice
- Markov chain aggregation for agent-based models
- Markov chains
- Markov chains
- Markov chains
- Markov chains
- Markov chains : Gibbs fields, Monte Carlo simulation, and queues
- Markov chains : analytic and Monte Carlo computations
- Markov chains : from theory to implementation and experimentation
- Markov chains : models, algorithms and applications
- Markov chains : theory, algorithms and applications
- Markov chains and dependability theory
- Markov chains: theory and applications
- Markov decision processes
- Markov decision processes : discrete stochastic dynamic programming
- Markov decision processes in practice
- Markov decision processes with applications to finance
- Markov decision processes with applications to finance
- Markov decision processes with their applications
- Markov logic : an interface layer for artificial intelligence
- Markov models and optimization
- Markov models for handwriting recognition
- Markov models for handwriting recognition
- Markov models for pattern recognition : from theory to applications
- Markov models for pattern recognition : from theory to applications
- Markov networks in evolutionary computation
- Markov paths, loops and fields : ecole dété de Probabilités de Saint-Flour XXXVIII-2008
- Markov point processes and their applications
- Markov processes : characterization and convergence
- Markov processes and applications
- Markov processes and applications : algorithms, networks, genome and finance
- Markov processes and learning models
- Markov processes and related problems of analysis
- Markov processes and related problems of analysis
- Markov processes for stochastic modeling
- Markov processes for stochastic modeling
- Markov processes from K. Itô's perspective
- Markov processes, Brownian motion, and time symmetry
- Markov processes, Brownian motion, and time symmetry
- Markov processes, Feller semigroups and evolution equations
- Markov processes, Gaussian processes, and local times
- Markov processes, semigroups, and generators
- Markov's Theorem and 100 years of the Uniqueness Conjecture : a mathematical journey from irrational numbers to perfect matchings
- Markov's theorem and 100 years of the uniqueness conjecture : a mathematical journey from irrational numbers to perfect matchings
- Markov-modulated processes & semiregenerative phenomena
- Markovian decision processes
- Markovian demand inventory models
- Martingales à temps discret
- Mathematical theory of nonequilibrium steady states : on the frontier of probability and dynamical systems
- Mathematical theory of reliability of time dependent systems with practical applications
- Matrix-exponential distributions in applied probability
- Measure-valued branching markov processes
- Models for behavior: stochastic processes in psychology
- Next generation and advanced network reliability analysis : using Markov models and software reliability engineering
- Non-negative matrices and Markov chains
- Nonlinear Markov processes and kinetic equations
- Nonlinear financial econometrics : Markov switching models, persistence and nonlinear cointegration
- Nonlinearly perturbed semi-Markov processes
- Numerical methods for stochastic control problems in continuous time
- On the existence of Feller semigroups with boundary conditions
- Optimization of stochastic discrete systems and control on complex networks : computational networks
- Optimization, control, and applications of stochastic systems : in honor of Onesimo Hernandez-Lerma
- Optimized response-adaptive clinical trials : sequential treatment allocation based on Markov decision problems
- Piecewise deterministic processes in biological models
- Planning with Markov decision processes : an AI perspective
- Poisson point processes and their application to Markov processes
- Probability approximations via the Poisson clumping heuristic
- Probability, Markov chains, queues, and simulation : the mathematical basis of performance modeling
- Pseudo differential operators & Markov processes
- Pseudo differential operators & Markov processes, Volume 1, Fourier analysis and semigroups
- Pseudodifferential equations over non-Archimedean spaces
- Quantum potential theory
- Quantum probability communications
- Quasi-stationary distributions : Markov chains, diffusions and dynamical systems
- Rabi N. Bhattacharya : selected papers
- Random walks and heat kernels on graphs
- Semi-Dirichlet forms and Markov processes
- Semi-Markov chains and hidden semi-Markov models toward applications : their use in reliability and DNA analysis
- Semi-Markov chains and hidden semi-Markov models toward applications : their use in reliability and DNA analysis
- Semi-Markov chains and hidden semi-Markov models toward applications : their use in reliability and DNA analysis
- Semi-Markov migration models for credit risk
- Semi-Markov processes : applications in system reliability and maintenance
- Semi-Markov risk models for finance, insurance and reliability
- Semi-markov models : control of restorable systems with latent failures
- Semigroups, boundary value problems, and Markov processes
- Simulation-based algorithms for Markov decision processes
- Spatial Fleming-Viot models with selection and mutation
- Statistical analysis of behavioural data: an approach based on time-structured models
- Stochastic differential equations with Markovian switching
- Stochastic modeling of scientific data
- Stochastic models with power-law tails : the equation X = AX + B
- Structured dependence between stochastic processes
- Symmetric Markov processes, time change, and boundary theory
- System dependability evaluation including S-dependency and uncertainty : model-driven dependability analyses
- The geometry of filtering
- The theory of generalized Dirichlet forms and its applications in analysis and stochastics
- Transmission channels of financial shocks to stock, bond, and asset-backed markets : an empirical model
- Understanding Markov chains : examples and applications

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