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Markov Processes: Volume I

Posted By: AvaxGenius
Markov Processes: Volume I

Markov Processes: Volume I by E. B. Dynkin
English | PDF | 1965 | 377 Pages | ISBN : 3662000334 | 29 MB

The modem theory of Markov processes has its origins in the studies of A. A. MARKOV (1906-1907) on sequences of experiments "connected in a chain" and in the attempts to describe mathematically the physical phenomenon known as Brownian motion (L. BACHELlER 1900, A. EIN­ STEIN 1905). The first correct mathematical construction of a Markov process with continuous trajectories was given by N. WIENER in 1923. (This process is often called the Wiener process.) The general theory of Markov processes was developed in the 1930's and 1940's by A. N. KOL­ MOGOROV, W. FELLER, W. DOEBLlN, P. LEVY, J. L. DOOB, and others. During the past ten years the theory of Markov processes has entered a new period of intensive development. The methods of the theory of semigroups of linear operators made possible further progress in the classification of Markov processes by their infinitesimal characteristics. The broad classes of Markov processes with continuous trajectories be­ came the main object of study.

Markov Processes and Controlled Markov Chains

Posted By: AvaxGenius
Markov Processes and Controlled Markov Chains

Markov Processes and Controlled Markov Chains by Zhenting Hou, Jerzy A. Filar, Anyue Chen
English | PDF | 2002 | 501 Pages | ISBN : 1402008031 | 35.5 MB

The general theory of stochastic processes and the more specialized theory of Markov processes evolved enormously in the second half of the last century. In parallel, the theory of controlled Markov chains (or Markov decision processes) was being pioneered by control engineers and operations researchers. Researchers in Markov processes and controlled Markov chains have been, for a long time, aware of the synergies between these two subject areas.

An Introduction to Transfer Entropy: Information Flow in Complex Systems

Posted By: AvaxGenius
An Introduction to Transfer Entropy: Information Flow in Complex Systems

An Introduction to Transfer Entropy: Information Flow in Complex Systems by Terry Bossomaier, Lionel Barnett, Michael Harré, Joseph T. Lizier
English | PDF(True) | 2016 | 210 Pages | ISBN : 3319432214 | 4.5 MB

This book considers a relatively new metric in complex systems, transfer entropy, derived from a series of measurements, usually a time series. After a qualitative introduction and a chapter that explains the key ideas from statistics required to understand the text, the authors then present information theory and transfer entropy in depth. A key feature of the approach is the authors' work to show the relationship between information flow and complexity. The later chapters demonstrate information transfer in canonical systems, and applications, for example in neuroscience and in finance.

Markov Processes, Feller Semigroups and Evolution Equations

Posted By: roxul
Markov Processes, Feller Semigroups and Evolution Equations

Jan van Casteren, "Markov Processes, Feller Semigroups and Evolution Equations "
English | ISBN: 9814322180 | 2010 | 824 pages | PDF | 5 MB

Continuous Average Control of Piecewise Deterministic Markov Processes (repost)

Posted By: arundhati
Continuous Average Control of Piecewise Deterministic Markov Processes (repost)

Oswaldo Luiz do Valle Costa, "Continuous Average Control of Piecewise Deterministic Markov Processes "
English | ISBN: 1461469821 | 2013 | 128 pages | PDF | 3 MB