Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors

Estimation and inference from generalized linear models using explicit and implicit methods for bias reduction

Interpretable and model-robust causal inference for heterogeneous treatment effects using generalized linear working models with targeted machine-learning

Gene network reconstruction using global-local shrinkage priors

Simulation for "Method-of-Moments Inference for GLMs and Doubly Robust Functionals under Proportional Asymptotics"

PaRtitiOned empirical Bayes Ecm (PROBE)

Python and R Packges for Efficient Inference on High-Dimensional Linear Models With Missing Outcomes

An introduction to graphical models in psychometrics.

Software to decompose the mutual information I(X;R) between high-dimensional stimuli X and neural responses R in a stimulus specific manner (stimulus-wise, pixel-wise, feature-wise)). The decomposition is principled on three key axioms of information theory that makes it interpretable.

Fast Bayesian inference in large graphical models.

Code for "Tests for high-dimensional generalized linear models under general covariance structure"

Code for "Score function-based tests for ultrahigh-dimensional linear models"

Python notebook on GtSt testing procedures on the LARS path. Code associated with the manuscript "Multiple Testing and Variable Selection along Least Angle Regression's path" (J.-M. Azaïs & Y. De Castro)

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