How To Build A Performance Marketing Experimentation Framework With AI

AI made experiments cheap to run, not easy to trust. Build an experimentation framework that gets harder to pass as the tests ...
IEEE

Hypothesis Testing, Separability, and Classification of Polarimetric SAR Intensity Data With Nonparametric U-Statistics

Abstract: Polarimetric synthetic aperture radar (PolSAR) sensors have emerged as a groundbreaking remote sensing technology. They enable the acquisition of the amplitude, phase, and orientation of ...
Investopedia

Hypothesis Testing: 4 Steps and Example

Christina Majaski writes and edits finance, credit cards, and travel content. She has 14+ years of experience with print and digital publications. Khadija Khartit is a strategy, investment, and ...
Frontiers

Null hypothesis significance testing vs. Bayesian inference using generalized linear mixed models with binary outcomes: a case study under practical design constraints

Empirical investigation requires dealing with fundamental uncertainty. In experimental psychology, research questions are often addressed using Null Hypothesis Significance Testing (NHST), an approach ...
qualitysafety.bmj

A primer on PDSA: executing plan–do–study–act cycles in practice, not just in name

1 Centre for Quality Improvement and Patient Safety, University of Toronto, Toronto, Ontario, Canada Too often, however, improvement teams go through the motions of PDSA cycles without really ...
GitHub

Visualizing Hypothesis Tests in Multivariate Linear Models

The heplots package provides functions for visualizing hypothesis tests in multivariate linear models (“MLM” = {MANOVA, multivariate multiple regression, MANCOVA, and repeated measures designs}). It ...
IEEE

Optimal Binary Hypothesis Testing Based on the Behavioral Kullback–Leibler Divergence Criterion

Abstract: Kullback–Leibler (KL) divergence plays a central role in hypothesis testing. It gives a measure of the statistical distance between two probability distributions. In the distributed ...
STAT

How the ‘amyloid mafia’ took over Alzheimer’s research

Piller is an investigative journalist for Science. In November 2022, Dennis Selkoe, a Harvard professor of neurologic diseases and among the most celebrated and prolific Alzheimer’s researchers, ...
GitHub

BGGM: Bayesian Gaussian Graphical Models

What is a Gaussian Graphical Model ? A Gaussian graphical model captures conditional (in)dependencies among a set of variables. These are pairwise relations (partial correlations) controlling for the ...