A practical guide to understanding and validating complex models using data simulations

A practical guide to understanding and validating complex models using data simulations

Abstract Biologists routinely fit novel and complex statistical models to push the limits of our understanding. Examples include, but are not limited to, flexible Bayesian approaches (e.g. BUGS, stan), frequentist and likelihood‐based approaches (e.g. packages lme4) and machine learning methods. The...

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Bibliographic Details
Main Authors: Graziella V. DiRenzo, Ephraim Hanks, David A. W. Miller
Format: Article
Language:English
Published: Wiley 2023-01-01
Series:Methods in Ecology and Evolution
Subjects:
Bayesian
frequentist
goodness‐of‐fit
hierarchical models
occupancy model
power analysis
Online Access:https://doi.org/10.1111/2041-210X.14030

Internet

https://doi.org/10.1111/2041-210X.14030

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