Google is expanding access to incrementality testing, rolling out major updates designed to help advertisers of all sizes measure the true, causal impact of their ads – what’s driving results and what ...

Abstract: This paper introduces a new statistical hypothesis test for robust image classification. First, we introduce the proposed statistical hypothesis test based on the geodesic distance and on ...

ABSTRACT: We present here an alternative definition of the P-value for statistical hypothesis test of a real-valued parameter for a continuous random variable X. Our ...

Statistical significance is a critical concept in data analysis and research. In essence, it’s a measure that allows researchers to assess whether the results of an experiment or study are due to ...

Abstract: We consider Bayesian multiple statistical classification problem in the case where the unknown source distributions are estimated from the labeled training sequences, then the estimates are ...

Starting in 2011, a group of 270 scientists attempted to replicate 100 psychological studies. They found that out of these 100 studies, only 39 could be successfully replicated (Open Science ...

This repository contains my Inferential Statistics project completed during my university course. It includes the dataset, R code, and detailed analysis showcasing the comparison of climbing route ...