Data Analysis

I provide a simple example of a Dirichlet regression in PyMC. This form of generalized linear model is appropriate when modeling proportions of multiple groups, that is, when modeling a collection of positive values that must sum to a constant. Some common examples include ratios and percentages.

I experimented with different structures for multi-level and hierarchical splines in PyMC, including using a multivariate normal prior distribution over the spline parameters.

Modeling the standard curve of a standard dilution experiment with Stan as presented in Bayesian Data Analysis by Gelman et al.

My own visualization and statistical analysis of the data from a replication study of this famous phsycology paper.

This links to my repository of #TidyTuesday submissions. This is a series of notebooks and scripts that analyze a different dataset each week where I experiment with various modeling and data visualization techniques.

How to fit a spline using the Bayesian modeling framework PyMC3.