Ecological forecasting using Dynamic Generalized Additive Models with R 📦's {mvgam} and {brms}
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Updated
May 14, 2024 - HTML
Ecological forecasting using Dynamic Generalized Additive Models with R 📦's {mvgam} and {brms}
An introduction to GAM(M)s
GAM workshop for NHS-R Community Conference 2023
Overview of statistical learning methods for classification
National Centre for Statistical Ecology seminar, Feb 9th, 2022
Using generalized additive models to analyze COVID-19 US county level mortality data
Website for Biostat 200C (Methods in Biostatistics C)
Thesis Chatper 3: This repository compares Spatial Interpolation methods to predict Seoul's air pollution
To analyse COVID data-set in Peru which provides by government.
A project for modeling atmospheric data to try to predict temperature values using a linear model and a generalized additive model
Computationally efficient Bayesian variable selection method to identify linear and nonlinear effects in regression models where a predictor (or feature) can have a zero effect, a non-zero linear effect or non-zero non-linear effect on the outcome variables.
Available R-Packages for Gaussian Process Regression
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