Modeling Spatio-Temporal Data: Markov Random Fields, Objective Bayes, and Multiscale Models
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Hands-On Markov Models with Python – Implement probabilistic models for complex data sequences
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Introduction to Hidden Semi-Markov Models – London Mathematical Society Lecture Note Series 445
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Hidden Markov Models: Estimation and Control: 29 (Stochastic Modelling and Applied Probability, 29)
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Bayesian Analysis of Capture-Recapture Data with Hidden Markov Models : Theory and Case Studies in R and NIMBLE
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Hidden Semi-Markov Models: Theory, Algorithms and Applications
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Latent Markov Models for Longitudinal Data (Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences)
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Hidden Markov Models for Time Series: An Introduction Using R, Second Edition (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)
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Markov Models and Optimization – Chapman & Hall/CRC Monographs – Vol. 49
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Modelling in Marketing Research: Understanding Visual Behaviour Using Markov Models
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Hidden Markov Models and Applications (Unsupervised and Semi-Supervised Learning)
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Transient, Steady-State, and Ruin Probabilities of Markov and Gambling Models
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Markov Models - How a Random Walk Evolves
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Markov Models and Reliability
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Markov Models - How a Random Walk Evolves
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Markov Processes and Learning Models
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Advances in Markov-Switching Models : Applications in Business Cycle Research and Finance
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Pedro Domingos Markov Logic : An Interface Layer for Artificial Intelligence Pedro Domingos Multicolor
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Bayesian Estimation of DSGE Models
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Finite Approximations in Discrete-Time Stochastic Control : Quantized Models and Asymptotic Optimality
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Decision Analytics : Mathematical Models and Algorithms for Sequential Decision-Making
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Models for Longitudinal Data with Applications to Early Warning Systems : Workshops of the PRIN Project, Perugia, Italy, 19 September 2024, 11 September 2025 and 23 January 2026
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Markov Decision Processes and Reinforcement Learning
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