Efficient Probability Mass Function Estimation from Partially Observed Data. - Joseph K. Chege; Mikus J. Grasis; Alla Manina; Arie Yeredor; Martin Haardt (IEEECONF, 2022)

Bayesian Estimation of a Probability Mass Function Tensor with Automatic Rank Detection. - Joseph K. Chege; Mikus J. Grasis; Arie Yeredor; Martin Haardt (CAMSAP, 2023)

Probability Mass Function Estimation Approaches with Application to Flow Cytometry Data Analysis. - Philippe Flores; Joseph K. Chege; Konstantin Usevich; Martin Haardt; Arie Yeredor; David Brie (CAMSAP, 2023)

Bayesian Estimation and Tuning-Free Rank Detection for Probability Mass Function Tensors. - Joseph K. Chege; Arie Yeredor; Martin Haardt (CoRR, 2024)

A Unified MDL-based Binning and Tensor Factorization Framework for PDF Estimation. - Mustafa Musab; Joseph K. Chege; Arie Yeredor; Martin Haardt (CoRR, 2025)