New Applied Statistical Modeling book is out !

[Marc Kery]

Dear colleagues,

 

We have written a new stats textbook entitled Applied Statistical Modelling for Ecologists – A practical guide to Bayesian and likelihood inference using R, JAGS, NIMBLE, Stan and TMB. The new ASM book provides a gentle introduction to the essential models of applied statistics: linear models, generalized linear models, mixed and hierarchical models. In addition, it introduces integrated models, which have become a mega-trend in statistical ecology during the last 30 years. All models are fit with both a likelihood and a Bayesian approach, using several powerful software packages widely used in research publications: JAGS, NIMBLE, Stan, and TMB. In addition, the foundational method of maximum likelihood is explained in a manner that ecologists can really understand, and every model is also fit by numerical maximization of a custom-written likelihood function in R. Finally, the ASM book contains a comprehensive chapter on model building, checking and selection, all of which topics that are challenging for budding ecological modelers. There is a companion R package ASMbook, which is available on CRAN.

 

The ASM book is the successor of the widely used Introduction to WinBUGS for Ecologists (Kéry, Academic Press, 2010). Like its parent, it is extremely effective for both classroom use and self-study, allowing students and researchers alike to quickly learn, understand, and carry out a very wide range of statistical modelling tasks. But in addition, it can be used to learn statistical modeling using a wide range of cutting-edge model-fitting engines, and with Bayesian and likelihood inference alike.

 

A detailed Table of Contents of the ASM book is attached. For much more information, also about the different target audiences, modes of usage of the book, and tips for instructors and students, please have a look at the book website (here). The website also contains all code for free download, as well as a free bonus chapter on the binomial N-mixture model. That chapter demonstrates the use for model fitting of the R packages unmarked and ubms, and of the software JAGS, NIMBLE, Stan and TMB, as well as of the “do-it-yourself maximum likelihood method”, and gives a flavour of the spirit in which we wrote the ASM book.

 

Best regards ---- Marc & Ken

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Marc Kéry  ***** **
+41 41 462 97 93
marc...@vogelwarte.ch
www.vogelwarte.ch
Swiss Ornithological Institute | Seerose 1 | CH-6204 Sempach | Switzerland
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*** BOOKS: see www.hierarchicalmodels.com  ***

- Schaub & Kéry (2022): IPM  -  Integrated Population Models, Academic Press
- Kéry & Royle (2021): AHM2  -  Applied hierarchical modeling in ecology, Vol. 2, Dynamic and advanced models, Academic Press

- Kéry & Royle (2016): AHM1  -  Applied hierarchical modeling in ecology, Vol. 1, Prelude and Static Models, Academic Press

- Kéry & Schaub (2012): BPA  -  Bayesian Population Analysis using WinBUGS, Academic Press
- Kéry (2010): Introduction to WinBUGS for Ecologists, Academic Press

*** Hierarchical modeling workshops ***
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