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最終更新日:2023年10月20日
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Theory and Practice for Advanced Statistics
The main objective of this course is to review the linear model and introduce some of its extensions, namely mixed linear models, generalized linear models, nonlinear regression. The last three lectures will introduce Bayesian principles, from a parametric and nonparametric point of view. Focus will be on explaining the theory in a synthetic manner and apprehend how the proposed models can be estimated using R. A side goal is to get familiar with the statistical vocabulary and be able to understand what black box/packages are actually doing to help acquiring a critical eye on the results of biological or agricultural data analysis.
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