Stochastic Modeling of Scientific Data, Second Edition - Figures Slides
Chapman and Hall/CRC (Publisher)
Published on 20. November 2014
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978-1-4822-0169-7 (ISBN)
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Description
Accessible to any scientist or student with a reasonable background in statistics, this updated book presents a unique blend of stochastic process theory, statistical inference, and scientific applications of stochastic modeling of scientific data. With an emphasis on real data applications, this second edition covers the numerous developments in methodology and computation since the original publication. It provides a more balanced treatment of Bayesian approaches to statistical inference and includes more recent scientific example problems that involve the statistical analysis of stochastic models.
More details
Language
English
Publishing group
Taylor & Francis
Target group
Graduate students and researchers in statistics, medicine, epidemiology, biology, and genetics.
ISBN-13
978-1-4822-0169-7 (9781482201697)
Schweitzer Classification
Persons
Author
University of Washington, Seattle, USA, and Norwegian Computing Center, Oslo, Norway
University of Washington, Seattle, USA
Content
Stochastic Processes Background. Statistical Preliminaries. Inference for Discrete-Time Markov Chains. Inference for Continuous-Time Markov Chains. Markov Random Fields. Point Processes. Continuous-Time, Continuous-Space Processes. Case Studies.