Bringing Bayesian Models to Life by Mevin B. Hooten
Requirements: .ePUB, .PDF reader, 49 MB
Overview: 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.
Genre: Non-Fiction > General
Download Instructions:
https://userupload.net/7ckm7td26dc9
https://dropgalaxy.vip/yusvsuhzm9o4
Trouble downloading? Read This.
Requirements: .ePUB, .PDF reader, 49 MB
Overview: 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.
Genre: Non-Fiction > General
Download Instructions:
https://userupload.net/7ckm7td26dc9
https://dropgalaxy.vip/yusvsuhzm9o4
Trouble downloading? Read This.