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 ...

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

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

The pharmaceutical and medical device industries stand at an inflection point. After decades of reliance on traditional ...