For regression models other than the linear model, R-squared type goodness-of-fit summary
statistics have been constructed for particular models using a variety of methods. We …

The abstract concept of “information” can be quantified and this has led to many important
advances in the analysis of data in the empirical sciences. This text focuses on a science …

Objective Childhood irritability, operationalized as disproportionate and frequent temper
tantrums and low frustration tolerance relative to peers, is a transdiagnostic symptom across …

The majority of empirical research in economics ignores the potential benefits of
nonparametric methods, while the majority of advances in nonparametric theory ignore the …

This paper introduces the concept of entropic value-at-risk (EVaR), a new coherent risk
measure that corresponds to the tightest possible upper bound obtained from the Chernoff …

This paper presents a novel distribution-based global sensitivity analysis based on the
Kullback–Leibler divergence derived directly from generalized polynomial chaos expansion …

We investigate information-theoretic optimality properties of the score function of the
predictive likelihood as a device for updating a real-valued time-varying parameter in a …

Markowitz's mean-variance (MV) efficient portfolio selection is one of the most widely used
approaches in solving portfolio diversification problem. However, contrary to the notion of …

This paper proposes three classes of consistent one-sided tests for serial correlation of
unknown form for the residual from a linear dynamic regression model that includes both …

The role of models in science is to facilitate predictions from hypotheses. Although the idea
that models provide information is widely reported and has been used as the basis for model …