Multivariate statistical inference encompasses methods that evaluate multiple outcomes or parameters jointly, allowing researchers to understand complex interdependencies within data. Permutation ...

This project focuses on applying Bootstrap resampling and Permutation tests to analyze statistical hypotheses. The primary objective is to estimate confidence intervals, conduct hypothesis testing, ...

Statistical hypothesis testing and effect size measurement are routine parts of quantitative research. Advancements in computer processing power have greatly improved the capability of statistical ...

Abstract: A new statistical permutation analysis method is presented in this paper to efficiently and accurately localize regionally specific shape differences between groups of 3D biomedical images.

A comprehensive framework for implementing and testing trading strategies using Monte Carlo Permutation Tests (MCPT) with parallel processing and visualisation. test_type: {'insample', 'walkforward', ...