Markov Chain

MCMC from Scratch: A Practical Introduction to Markov Chain Monte Carlo  eBooks & eLearning

Posted by AvaxGenius at Oct. 23, 2022
MCMC from Scratch: A Practical Introduction to Markov Chain Monte Carlo

MCMC from Scratch: A Practical Introduction to Markov Chain Monte Carlo by Masanori Hanada, So Matsuura
English | PDF,EPUB | 2022 | 198 Pages | ISBN : 9811927146 | 29.3 MB

This textbook explains the fundamentals of Markov Chain Monte Carlo (MCMC) without assuming advanced knowledge of mathematics and programming. MCMC is a powerful technique that can be used to integrate complicated functions or to handle complicated probability distributions. MCMC is frequently used in diverse fields where statistical methods are important – e.g. Bayesian statistics, quantum physics, machine learning, computer science, computational biology, and mathematical economics. This book aims to equip readers with a sound understanding of MCMC and enable them to write simulation codes by themselves.

Markov Chain Models — Rarity and Exponentiality  eBooks & eLearning

Posted by AvaxGenius at Dec. 24, 2022
Markov Chain Models — Rarity and Exponentiality

Markov Chain Models — Rarity and Exponentiality by Julian Keilson
English | PDF | 1979 | 199 Pages | ISBN : 0387904050 | 15.8 MB

in failure time distributions for systems modeled by finite chains. This introductory chapter attempts to provide an over­ view of the material and ideas covered. The presentation is loose and fragmentary, and should be read lightly initially. Subsequent perusal from time to time may help tie the mat­ erial together and provide a unity less readily obtainable otherwise. The detailed presentation begins in Chapter 1, and some readers may prefer to begin there directly. §O.l. Time-Reversibility and Spectral Representation. Continuous time chains may be discussed in terms of discrete time chains by a uniformizing procedure (§2.l) that simplifies and unifies the theory and enables results for discrete and continuous time to be discussed simultaneously.

Markov Logic: An Interface Layer for Artificial Intelligence  eBooks & eLearning

Posted by AvaxGenius at Sept. 23, 2022
Markov Logic: An Interface Layer for Artificial Intelligence

Markov Logic: An Interface Layer for Artificial Intelligence by Pedro Domingos
English | PDF | 2009 | 155 Pages | ISBN : 1598296922 | 1.3 MB

Most subfields of computer science have an interface layer via which applications communicate with the infrastructure, and this is key to their success (e.g., the Internet in networking, the relational model in databases, etc.). So far this interface layer has been missing in AI. First-order logic and probabilistic graphical models each have some of the necessary features, but a viable interface layer requires combining both. Markov logic is a powerful new language that accomplishes this by attaching weights to first-order formulas and treating them as templates for features of Markov random fields. Most statistical models in wide use are special cases of Markov logic, and first-order logic is its infinite-weight limit.

Markov Set-Chains  eBooks & eLearning

Posted by AvaxGenius at Jan. 25, 2025
Markov Set-Chains

Markov Set-Chains by Darald J. Hartfiel
English | PDF | 1998 | 135 Pages | ISBN : 3540647759 | 7.3 MB

In this study extending classical Markov chain theory to handle fluctuating transition matrices, the author develops a theory of Markov set-chains and provides numerous examples showing how that theory can be applied. Chapters are concluded with a discussion of related research. Readers who can benefit from this monograph are those interested in, or involved with, systems whose data is imprecise or that fluctuate with time. A background equivalent to a course in linear algebra and one in probability theory should be sufficient.

Large Deviations for Markov Chains  eBooks & eLearning

Posted by hill0 at Aug. 13, 2022
Large Deviations for Markov Chains

Large Deviations for Markov Chains
English | 2022 | ISBN: 1316511898 | 262 Pages | PDF | 3 MB

Denumerable Markov Chains: with a chapter of Markov Random Fields by David Griffeath  eBooks & eLearning

Posted by AvaxGenius at March 5, 2022
Denumerable Markov Chains: with a chapter of Markov Random Fields by David Griffeath

Denumerable Markov Chains: with a chapter of Markov Random Fields by David Griffeath by John G. Kemeny
English | PDF | 1976 | 495 Pages | ISBN : 0387901779 | 36.1 MB

With the first edition out of print, we decided to arrange for republi­ cation of Denumerrible Markov Ohains with additional bibliographic material. The new edition contains a section Additional Notes that indicates some of the developments in Markov chain theory over the last ten years.

Markov Set-Chains  eBooks & eLearning

Posted by AvaxGenius at Jan. 25, 2025
Markov Set-Chains

Markov Set-Chains by Darald J. Hartfiel
English | PDF | 1998 | 135 Pages | ISBN : 3540647759 | 7.3 MB

In this study extending classical Markov chain theory to handle fluctuating transition matrices, the author develops a theory of Markov set-chains and provides numerous examples showing how that theory can be applied. Chapters are concluded with a discussion of related research. Readers who can benefit from this monograph are those interested in, or involved with, systems whose data is imprecise or that fluctuate with time. A background equivalent to a course in linear algebra and one in probability theory should be sufficient.

Copula-Based Markov Models for Time Series: Parametric Inference and Process Control  eBooks & eLearning

Posted by AvaxGenius at July 2, 2020
Copula-Based Markov Models for Time Series: Parametric Inference and Process Control

Copula-Based Markov Models for Time Series: Parametric Inference and Process Control by Li-Hsien Sun
English | PDF,EPUB | 2020 | 141 Pages | ISBN : 9811549974 | 16 MB

This book provides statistical methodologies for time series data, focusing on copula-based Markov chain models for serially correlated time series. It also includes data examples from economics, engineering, finance, sport and other disciplines to illustrate the methods presented. An accessible textbook for students in the fields of economics, management, mathematics, statistics, and related fields wanting to gain insights into the statistical analysis of time series data using copulas, the book also features stand-alone chapters to appeal to researchers.

Handbook of Markov Chain Monte Carlo (Repost)  eBooks & eLearning

Posted by insetes at April 8, 2019
Handbook of Markov Chain Monte Carlo (Repost)

Handbook of Markov Chain Monte Carlo By Brooks S., et al. (eds.)
2011 | 619 Pages | ISBN: 1420079417 | DJVU | 11 MB

Markov Chain Aggregation for Agent-Based Models  eBooks & eLearning

Posted by insetes at Nov. 6, 2021
Markov Chain Aggregation for Agent-Based Models

Markov Chain Aggregation for Agent-Based Models By Sven Banisch
2016 | 205 Pages | ISBN: 3319248758 | PDF | 6 MB