Scikit-learn compatible estimation of general graphical models

CVPR2022 (Oral) - Rethinking Semantic Segmentation: A Prototype View

Wrapper for a PyTorch classifier which allows it to output prediction sets. The sets are theoretically guaranteed to contain the true class with high probability (via conformal prediction).

Clique recycling non-Gaussian (multi-modal) factor graph solver; also see Caesar.jl.

Nonlinear Nonparametric Statistics

idiosyncratic lecture notes on statistics

An R Package for Bayesian Nonparametric Clustering. We plan to implement several models.

some lean learning tools, in lua

R package to estimate time-varying coefficient regressions

Hierarchical Dirichlet Process Generalized Linear Models

Assignments and exercises from Advanced Econometrics 1&2

Official repo of the article: W. A. Yousef, I. Traoré and W. Briguglio, "UN-AVOIDS: Unsupervised and Nonparametric Approach for Visualizing Outliers and Invariant Detection Scoring," in IEEE Transactions on Information Forensics and Security, vol. 16, pp. 5195-5210, 2021, doi: 10.1109/TIFS.2021.3125608.

B-Spline Density Estimation Library - nonparametric density estimation using B-Spline density estimator from univariate sample.

An R package for obtaining nonparametric estimates of regression models with or without factor-by-curve interactions using local polynomial kernel smoothers or splines

A small, header-only, fast C shared library with ML/nonparametrix algorithms for researchers and developers

VIBER - Variational Binomial Mixtures

Codes for "A Spatial Bayesian Semiparametric Mixture Model for Positive Definite Matrices with Applications to Diffusion Tensor Imaging" Copyright (C) 2018 Zhou Lan (zlan@ncsu.edu) - All Rights Reserved

Trimmed Spearman-Karber Method

An R package for selecting variables in regression models

Robust estimations from distribution structures: Central moments.