Generalizing scientific findings across diverse populations is fundamental to many scientific fields and policymakers who use such analyses to guide decision-making. Traditional methods often account ...

Department of Horticulture, Auburn University, Auburn, Alabama 36849, United States ...

Paolacci, Gabriele; André, Quentin. Probabilistic Outcomes Are Valued Less in Expectation, Even Conditional on Their Realization. Management Science. Nov2024, Vol. 70 Issue 11, p7524-7536. Most ...

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Roll a die and ask students to identify the random variable. Since a die can only take on values of 1, 2, 3, 4, 5, or 6, this is a discrete random variable. Repeat ...

Abstract: This paper is concerned with the Tobit Kalman filtering for a class of discrete-time linear systems. A set of Bernoulli random variables is introduced to describe the randomly occurring ...

Direct Graphical Models (DGM) C++ library, a cross-platform Conditional Random Fields library, which is optimized for parallel computing and includes modules for feature extraction, classification and ...

Abstract: The paper deals with linear information inequalities valid for entropy functions induced by discrete random variables. Specifically, the so-called conditional Ingleton inequalities are in ...