Buch, Englisch, 384 Seiten, Format (B × H): 156 mm x 234 mm
Buch, Englisch, 384 Seiten, Format (B × H): 156 mm x 234 mm
Reihe: Chapman & Hall/CRC Texts in Statistical Science
ISBN: 978-1-4398-7564-3
Verlag: Taylor & Francis Inc
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.
Zielgruppe
Graduate students and researchers in statistics, medicine, epidemiology, biology, and genetics.
Autoren/Hrsg.
Weitere Infos & Material
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.
