Statistical Inference for Markov Processes, Reprinted

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ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (477 download)

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Book Synopsis Statistical Inference for Markov Processes, Reprinted by : Patrick Billingsley

Download or read book Statistical Inference for Markov Processes, Reprinted written by Patrick Billingsley and published by . This book was released on 1974 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Statistical Inference for Markov Processes

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Publisher :
ISBN 13 :
Total Pages : 100 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Statistical Inference for Markov Processes by : Patrick Billingsley

Download or read book Statistical Inference for Markov Processes written by Patrick Billingsley and published by . This book was released on 1961 with total page 100 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Statistical Inference for Piecewise-deterministic Markov Processes

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Publisher : John Wiley & Sons
ISBN 13 : 1119544092
Total Pages : 306 pages
Book Rating : 4.1/5 (195 download)

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Book Synopsis Statistical Inference for Piecewise-deterministic Markov Processes by : Romain Azais

Download or read book Statistical Inference for Piecewise-deterministic Markov Processes written by Romain Azais and published by John Wiley & Sons. This book was released on 2018-07-30 with total page 306 pages. Available in PDF, EPUB and Kindle. Book excerpt: Piecewise-deterministic Markov processes form a class of stochastic models with a sizeable scope of applications: biology, insurance, neuroscience, networks, finance... Such processes are defined by a deterministic motion punctuated by random jumps at random times, and offer simple yet challenging models to study. Nevertheless, the issue of statistical estimation of the parameters ruling the jump mechanism is far from trivial. Responding to new developments in the field as well as to current research interests and needs, Statistical inference for piecewise-deterministic Markov processes offers a detailed and comprehensive survey of state-of-the-art results. It covers a wide range of general processes as well as applied models. The present book also dwells on statistics in the context of Markov chains, since piecewise-deterministic Markov processes are characterized by an embedded Markov chain corresponding to the position of the process right after the jumps.

Statistical Inference for Markov Processes

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ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (959 download)

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Book Synopsis Statistical Inference for Markov Processes by : Walter F. Johnson

Download or read book Statistical Inference for Markov Processes written by Walter F. Johnson and published by . This book was released on 1961 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Statistical Inferences for Markov Processes

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ISBN 13 :
Total Pages : 75 pages
Book Rating : 4.:/5 (33 download)

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Book Synopsis Statistical Inferences for Markov Processes by : Patrick Billingsley

Download or read book Statistical Inferences for Markov Processes written by Patrick Billingsley and published by . This book was released on 1961 with total page 75 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Statistical Inference for Markov Processes C.Patrick Billingsley

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ISBN 13 :
Total Pages : 75 pages
Book Rating : 4.:/5 (129 download)

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Book Synopsis Statistical Inference for Markov Processes C.Patrick Billingsley by : Patrick Billingsley

Download or read book Statistical Inference for Markov Processes C.Patrick Billingsley written by Patrick Billingsley and published by . This book was released on 1961 with total page 75 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Inference in Hidden Markov Models

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Publisher : Springer Science & Business Media
ISBN 13 : 0387289828
Total Pages : 656 pages
Book Rating : 4.3/5 (872 download)

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Book Synopsis Inference in Hidden Markov Models by : Olivier Cappé

Download or read book Inference in Hidden Markov Models written by Olivier Cappé and published by Springer Science & Business Media. This book was released on 2006-04-12 with total page 656 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a comprehensive treatment of inference for hidden Markov models, including both algorithms and statistical theory. Topics range from filtering and smoothing of the hidden Markov chain to parameter estimation, Bayesian methods and estimation of the number of states. In a unified way the book covers both models with finite state spaces and models with continuous state spaces (also called state-space models) requiring approximate simulation-based algorithms that are also described in detail. Many examples illustrate the algorithms and theory. This book builds on recent developments to present a self-contained view.

Some Aspects of Statistical Inference for M-th Order Markov Processes

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ISBN 13 :
Total Pages : 58 pages
Book Rating : 4.:/5 (89 download)

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Book Synopsis Some Aspects of Statistical Inference for M-th Order Markov Processes by : Ramanpillai Krishna Pillai

Download or read book Some Aspects of Statistical Inference for M-th Order Markov Processes written by Ramanpillai Krishna Pillai and published by . This book was released on 1963 with total page 58 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Statistical Inference in Markov Chains Using the Principal of Minimum Discrimination Information

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ISBN 13 :
Total Pages : 226 pages
Book Rating : 4.3/5 (121 download)

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Book Synopsis Statistical Inference in Markov Chains Using the Principal of Minimum Discrimination Information by : Said Mohamed Rujbani

Download or read book Statistical Inference in Markov Chains Using the Principal of Minimum Discrimination Information written by Said Mohamed Rujbani and published by . This book was released on 1979 with total page 226 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Statistical Inference on Aggregated Markov Processes

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ISBN 13 :
Total Pages : 128 pages
Book Rating : 4.:/5 (238 download)

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Book Synopsis Statistical Inference on Aggregated Markov Processes by : Wenyu Wang

Download or read book Statistical Inference on Aggregated Markov Processes written by Wenyu Wang and published by . This book was released on 1989 with total page 128 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Statistical Inference about Markov Chains

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ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (31 download)

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Book Synopsis Statistical Inference about Markov Chains by : T.W. Anderson

Download or read book Statistical Inference about Markov Chains written by T.W. Anderson and published by . This book was released on 1957 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

On statistical inference for Markov step processes

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ISBN 13 :
Total Pages : 124 pages
Book Rating : 4.:/5 (753 download)

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Book Synopsis On statistical inference for Markov step processes by : Reinhard Höpfner

Download or read book On statistical inference for Markov step processes written by Reinhard Höpfner and published by . This book was released on 1990 with total page 124 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Statistical Inference about Markov Chains

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ISBN 13 :
Total Pages : 84 pages
Book Rating : 4.:/5 (31 download)

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Book Synopsis Statistical Inference about Markov Chains by : Sai-Sing Lin

Download or read book Statistical Inference about Markov Chains written by Sai-Sing Lin and published by . This book was released on 1966 with total page 84 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Statistical Inference for Markov Chains

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ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (221 download)

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Book Synopsis Statistical Inference for Markov Chains by : Eveline Bofinger

Download or read book Statistical Inference for Markov Chains written by Eveline Bofinger and published by . This book was released on 1964 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Markov Chain Monte Carlo

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Publisher : CRC Press
ISBN 13 : 9781584885870
Total Pages : 352 pages
Book Rating : 4.8/5 (858 download)

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Book Synopsis Markov Chain Monte Carlo by : Dani Gamerman

Download or read book Markov Chain Monte Carlo written by Dani Gamerman and published by CRC Press. This book was released on 2006-05-10 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: While there have been few theoretical contributions on the Markov Chain Monte Carlo (MCMC) methods in the past decade, current understanding and application of MCMC to the solution of inference problems has increased by leaps and bounds. Incorporating changes in theory and highlighting new applications, Markov Chain Monte Carlo: Stochastic Simulation for Bayesian Inference, Second Edition presents a concise, accessible, and comprehensive introduction to the methods of this valuable simulation technique. The second edition includes access to an internet site that provides the code, written in R and WinBUGS, used in many of the previously existing and new examples and exercises. More importantly, the self-explanatory nature of the codes will enable modification of the inputs to the codes and variation on many directions will be available for further exploration. Major changes from the previous edition: · More examples with discussion of computational details in chapters on Gibbs sampling and Metropolis-Hastings algorithms · Recent developments in MCMC, including reversible jump, slice sampling, bridge sampling, path sampling, multiple-try, and delayed rejection · Discussion of computation using both R and WinBUGS · Additional exercises and selected solutions within the text, with all data sets and software available for download from the Web · Sections on spatial models and model adequacy The self-contained text units make MCMC accessible to scientists in other disciplines as well as statisticians. The book will appeal to everyone working with MCMC techniques, especially research and graduate statisticians and biostatisticians, and scientists handling data and formulating models. The book has been substantially reinforced as a first reading of material on MCMC and, consequently, as a textbook for modern Bayesian computation and Bayesian inference courses.

Exact Statistical Inference on Markov Chain Models

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ISBN 13 :
Total Pages : 534 pages
Book Rating : 4.:/5 ( download)

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Book Synopsis Exact Statistical Inference on Markov Chain Models by : Timothy Duane Johnson

Download or read book Exact Statistical Inference on Markov Chain Models written by Timothy Duane Johnson and published by . This book was released on 1997 with total page 534 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Markov Chain Monte Carlo

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Publisher : CRC Press
ISBN 13 : 9780412818202
Total Pages : 264 pages
Book Rating : 4.8/5 (182 download)

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Book Synopsis Markov Chain Monte Carlo by : Dani Gamerman

Download or read book Markov Chain Monte Carlo written by Dani Gamerman and published by CRC Press. This book was released on 1997-10-01 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt: Bridging the gap between research and application, Markov Chain Monte Carlo: Stochastic Simulation for Bayesian Inference provides a concise, and integrated account of Markov chain Monte Carlo (MCMC) for performing Bayesian inference. This volume, which was developed from a short course taught by the author at a meeting of Brazilian statisticians and probabilists, retains the didactic character of the original course text. The self-contained text units make MCMC accessible to scientists in other disciplines as well as statisticians. It describes each component of the theory in detail and outlines related software, which is of particular benefit to applied scientists.