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Author : Gunnar Rosenqvist
Publisher :
ISBN 13 :
Total Pages : 240 pages
Book Rating : 4.:/5 (42 download)
Download or read book Micro and Macro Data in Statistical Inference on Markov Chains written by Gunnar Rosenqvist and published by . This book was released on 1986 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Gunnar Rosenqvist
Publisher :
ISBN 13 : 9789515551436
Total Pages : 78 pages
Book Rating : 4.5/5 (514 download)
Download or read book Combining Micro and Macro Data in Statistical Inference about Markov Chains written by Gunnar Rosenqvist and published by . This book was released on 1981 with total page 78 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Christina M.L. Kelton, W. David Kelton
Publisher :
ISBN 13 :
Total Pages : 20 pages
Book Rating : 4.L/5 ( download)
Download or read book COMPARISON OF INFERENCE TECHNIQUES FOR MARKOV PROCESS ESTIMATED FROM MICRO VS. MACRO DATA written by Christina M.L. Kelton, W. David Kelton and published by . This book was released on with total page 20 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Patrick Billingsley
Publisher :
ISBN 13 :
Total Pages : 100 pages
Book Rating : 4.3/5 (91 download)
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:
Author : Said Mohamed Rujbani
Publisher :
ISBN 13 :
Total Pages : 226 pages
Book Rating : 4.3/5 (121 download)
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:
Author : Dani Gamerman
Publisher : CRC Press
ISBN 13 : 9781584885870
Total Pages : 352 pages
Book Rating : 4.8/5 (858 download)
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.
Author : Christina M. L. Kalton
Publisher :
ISBN 13 :
Total Pages : 32 pages
Book Rating : 4.L/5 ( download)
Download or read book Develpment of Specific Hypothesis Tests for Estimated Markov Chains written by Christina M. L. Kalton and published by . This book was released on 1984 with total page 32 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Arie Ten Cate
Publisher :
ISBN 13 :
Total Pages : 20 pages
Book Rating : 4.:/5 (13 download)
Download or read book Maximum Likelihood Estimation of the Markov Chain Model with Macro Data and the Ecological Inference Model written by Arie Ten Cate and published by . This book was released on 2016 with total page 20 pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper merges two isolated bodies of literature: the Markov chain model with macro data (MacRae, 1977) and the ecological inference model (Robinson, 1950). Both are choice models. They have the same likelihood function and the same regression equation.Decades ago, this likelihood function was computationally demanding. This has led to the use of several approximate methods. Due to the improvement in computer hardware and software since 1977, exact maximum likelihood should now be the preferred estimation method.
Author : C. M. L. Kelton
Publisher :
ISBN 13 :
Total Pages : 18 pages
Book Rating : 4.:/5 (897 download)
Download or read book Comparison of Inference Techniques for Markov Processes Estimated from Micro Vs. Macro Data written by C. M. L. Kelton and published by . This book was released on 1985 with total page 18 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : T.W. Anderson
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (31 download)
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:
Author : Sai-Sing Lin
Publisher :
ISBN 13 :
Total Pages : 84 pages
Book Rating : 4.:/5 (31 download)
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:
Author : Iain L. MacDonald
Publisher : CRC Press
ISBN 13 : 9780412558504
Total Pages : 256 pages
Book Rating : 4.5/5 (585 download)
Download or read book Hidden Markov and Other Models for Discrete- valued Time Series written by Iain L. MacDonald and published by CRC Press. This book was released on 1997-01-01 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: Discrete-valued time series are common in practice, but methods for their analysis are not well-known. In recent years, methods have been developed which are specifically designed for the analysis of discrete-valued time series. Hidden Markov and Other Models for Discrete-Valued Time Series introduces a new, versatile, and computationally tractable class of models, the "hidden Markov" models. It presents a detailed account of these models, then applies them to data from a wide range of diverse subject areas, including medicine, climatology, and geophysics. This book will be invaluable to researchers and postgraduate and senior undergraduate students in statistics. Researchers and applied statisticians who analyze time series data in medicine, animal behavior, hydrology, and sociology will also find this information useful.
Author : Li-Hsien Sun
Publisher : Springer Nature
ISBN 13 : 9811549982
Total Pages : 141 pages
Book Rating : 4.8/5 (115 download)
Download or read book Copula-Based Markov Models for Time Series written by Li-Hsien Sun and published by Springer Nature. This book was released on 2020-07-01 with total page 141 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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. As the subtitle suggests, the book highlights parametric models based on normal distribution, t-distribution, normal mixture distribution, Poisson distribution, and others. Presenting likelihood-based methods as the main statistical tools for fitting the models, the book details the development of computing techniques to find the maximum likelihood estimator. It also addresses statistical process control, as well as Bayesian and regression methods. Lastly, to help readers analyze their data, it provides computer codes (R codes) for most of the statistical methods.
Author : Walter Zucchini
Publisher : CRC Press
ISBN 13 : 1482253844
Total Pages : 370 pages
Book Rating : 4.4/5 (822 download)
Download or read book Hidden Markov Models for Time Series written by Walter Zucchini and published by CRC Press. This book was released on 2017-12-19 with total page 370 pages. Available in PDF, EPUB and Kindle. Book excerpt: Hidden Markov Models for Time Series: An Introduction Using R, Second Edition illustrates the great flexibility of hidden Markov models (HMMs) as general-purpose models for time series data. The book provides a broad understanding of the models and their uses. After presenting the basic model formulation, the book covers estimation, forecasting, decoding, prediction, model selection, and Bayesian inference for HMMs. Through examples and applications, the authors describe how to extend and generalize the basic model so that it can be applied in a rich variety of situations. The book demonstrates how HMMs can be applied to a wide range of types of time series: continuous-valued, circular, multivariate, binary, bounded and unbounded counts, and categorical observations. It also discusses how to employ the freely available computing environment R to carry out the computations. Features Presents an accessible overview of HMMs Explores a variety of applications in ecology, finance, epidemiology, climatology, and sociology Includes numerous theoretical and programming exercises Provides most of the analysed data sets online New to the second edition A total of five chapters on extensions, including HMMs for longitudinal data, hidden semi-Markov models and models with continuous-valued state process New case studies on animal movement, rainfall occurrence and capture-recapture data
Author : Eveline Bofinger
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (221 download)
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:
Author :
Publisher :
ISBN 13 :
Total Pages : 240 pages
Book Rating : 4.:/5 (933 download)
Download or read book Some Aspects of Statistical Inference in Markov Chains written by and published by . This book was released on 1976 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Nicolas Privault
Publisher : Springer
ISBN 13 : 9811306591
Total Pages : 379 pages
Book Rating : 4.8/5 (113 download)
Download or read book Understanding Markov Chains written by Nicolas Privault and published by Springer. This book was released on 2018-08-03 with total page 379 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an undergraduate-level introduction to discrete and continuous-time Markov chains and their applications, with a particular focus on the first step analysis technique and its applications to average hitting times and ruin probabilities. It also discusses classical topics such as recurrence and transience, stationary and limiting distributions, as well as branching processes. It first examines in detail two important examples (gambling processes and random walks) before presenting the general theory itself in the subsequent chapters. It also provides an introduction to discrete-time martingales and their relation to ruin probabilities and mean exit times, together with a chapter on spatial Poisson processes. The concepts presented are illustrated by examples, 138 exercises and 9 problems with their solutions.
