The goal of this work is to examine emissivity signature variability (including particle size effects from the signature at the ground level (e.g., powers) into a detection context for study. We seek ...

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 ...

Although catastrophe theory has been applied with mixed success to many problems in the biosciences, very few of these applications have used any form of statistical modeling. We present examples of ...

This book, “Statistical Modeling and Computation,” provides a unique introduction to modern statistics from both classical and Bayesian perspectives. It also offers an integrated treatment of ...

This paper addresses two closely related questions, "What is a statistical model?" and "What is a parameter?" The notions that a model must "make sense," and that a parameter must "have a well-defined ...

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 ...

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