Probabilistic (Bayesian) modeling has experienced a surge of applications in almost all
quantitative sciences and industrial areas. This development is driven by a combination of …

Pistachio is one of the most important and valuable orchard products in Iran and some other
places in the world. Because it is adaptable to adverse environmental conditions, especially …

The concepts of Bayesian prediction, model comparison, and model selection have
developed significantly over the last decade. As a result, the Bayesian community has …

Projection predictive inference is a decision theoretic Bayesian approach that decouples
model estimation from decision making. Given a reference model previously built including …

Determining the sensitivity of the posterior to perturbations of the prior and likelihood is an
important part of the Bayesian workflow. We introduce a practical and computationally …

Digital contact-tracing applications (DCTAs) can help control the spread of epidemics, such
as the coronavirus disease 2019 pandemic. But people in Western societies fail to install …

Effective and flexible statistical analyses are key to getting the most out of long-term
experiments (LTEs). Here, we aim to introduce Bayesian analysis to the wider LTE …

Objectives Several clinical disease activity indices (DAIs) have been developed to
noninvasively assess mucosal healing in pediatric Crohn's disease (CD). However, their …

Great ape cognition is used as a reference point to specify the evolutionary origins of
complex cognitive abilities, including in humans. This research often assumes that great ape …

Explaining the rise of large, sedentary populations, with attendant expansions of socio-
political hierarchy and labor specialization (collectively referred to as “societal complexity”) …