Abstract: Assumptions play a pivotal role in the selection and efficacy of statistical models, as unmet assumptions can lead to flawed conclusions and impact decision-making. In both traditional ...

The Observer has compiled a list of 2025 guides, tutorials, and manuals designed to support psychological scientists as they ...

Bayesian spatial statistics and modeling represent a robust inferential framework where uncertainty in spatial processes is explicitly quantified through probability distributions. This approach ...

Indian American statistician to lead journal amid biosciences being transformed by powerful statistical, machine learning and ...

The six-vertex model is a paradigmatic framework in statistical mechanics, originally introduced to capture the essential physics of ice-type systems. By assigning one of six allowed configurations to ...

Misuse of statistics in medical and sports science research is common and may lead to detrimental consequences to healthcare. Many authors, editors and peer reviewers of medical papers will not have ...