Compact letter display in excel workbooks with a custom function

[ICML'24 Oral] Rethinking Post-Hoc Search-Based Neural Approaches for Solving Large-Scale Traveling Salesman Problems

Simple and multiple linear regressions, Tukey's honest significant difference analyses, and visualizations in R.

Project about experiments of the use of ILASP as a post-hoc method over black-box models, in which we also study and approach technical issues like exponential time execution.

An R project that investigates and visualizes the effect of sex and education on an individual's income level through the use of a full-factorial two-way ANOVA test and relevant post hoc significance tests conducted over a 2014 Pew Research Center dataset consisting of higher education attainment, gender, and income data.

Parametrik olmayan istatistiksel yöntemler dersinin ödevi

Accompanying repository for the paper "Probabilistic Calibration by Design for Neural Network Regression" (AISTATS 2024).

Analyzing deep learning models with uncertainty in predictions

GAMES_HOWELL: post-hoc Games-Howell test for one-way ANOVA.

Python package for permutation tests, for statistics and machine learning.

Implementation of "A Large-Scale Study of Probabilistic Calibration in Neural Network Regression" (ICML 2023)

[ICML'24 Oral] Rethinking Post-Hoc Search-Based Neural Approaches for Solving Large-Scale Traveling Salesman Problems

A friendly, automated chi-square test function which takes care of post-hoc tests and multiple comparisons.

GAMLj: GLM, Mixed, Generalized and Generalized mixed models for jamovi

Critical difference diagram with Wilcoxon-Holm post-hoc analysis.