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)

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.

An introduction to graphical models in psychometrics.

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

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

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

Fast Bayesian inference in large graphical 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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