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Can I read Bringing Bayesian Models to Life (Chapman & Hall/CRC Applied Environmental Statistics) on EtoBox?

Bringing Bayesian Models to Life (Chapman & Hall/CRC Applied Environmental Statistics) by Mevin B. Hooten, Trevor Hefley, Trevor J. Hefley is a nonfiction available to read on EtoBox.

What is Bringing Bayesian Models to Life (Chapman & Hall/CRC Applied Environmental Statistics) about?

Bringing Bayesian Models to Life empowers the reader to extend, enhance, and implement statistical models for ecological and environmental data analysis. We open the black box and show the reader how to connect modern statistical models to computer algorithms. These algorithms allow the user to fit models that answer their scientific questions without needing to rely on automated Bayesian software. We show how to handcraft statistical models that are useful in ecological and environmental science including: linear and generalized linear models, spatial and time series models, occupancy and capture-recapture models, animal movement models, spatio-temporal models, and integrated population-models. Features: R code implementing algorithms to fit Bayesian models using real and simulated data examples. A comprehensive review of statistical models commonly used in ecological and environmental science. Overview of Bayesian computational methods such as importance sampling, MCMC, and HMC. Derivations of the necessary components to construct statistical algorithms from scratch. Bringing Bayesian Models to Life contains a comprehensive treatment of models and associated algorithms for fittin

Who reads Bringing Bayesian Models to Life (Chapman & Hall/CRC Applied Environmental Statistics)?

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
Mevin B. Hooten, Trevor Hefley, Trevor J. Hefley
Publisher
CRC Press Taylor & Francis Group, CRC Press is an imprint of the Taylor & Francis Group, an Informa business, A Chapman & Hall Book
Published
2019
Language
EN
ISBN
9781032092416
Category
nonfiction
Subjects
Science, Mathematics, Nature

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