Results 101 to 110 of about 10,677 (169)
Testing Distributional Granger Causality With Entropic Optimal Transport
Journal of Time Series Analysis, EarlyView.ABSTRACT We develop a novel nonparametric test for Granger causality in distribution based on entropic optimal transport. Unlike classical mean‐based approaches, the proposed method directly compares the full conditional distributions of a response variable with and without the history of a candidate predictor.
Tao Wang
wiley +1 more source
Viewpoint Selection for 3D-Games with f-Divergences
EntropyIn this paper, we present a novel approach for the optimal camera selection in video games. The new approach explores the use of information theoretic metrics f-divergences, to measure the correlation between the objects as viewed in camera frustum and ...
Micaela Y. Martin +2 more
doaj +1 more source
Is A Little Learning Dangerous?
Noûs, EarlyView.ABSTRACT I argue that a little learning is often dangerous even for ideal reasoners who are operating in extremely simple scenarios and know all the relevant facts about how the evidence is generated. More precisely, I show that, on many plausible ways of assigning value to a credence in a hypothesis H, ideal Bayesians should sometimes expect other ...
Bernhard Salow
wiley +1 more source
MathematicsThis paper proposes a mathematical model of price change perception in economic environments. The model introduces the Kullback–Leibler (KL) divergence between the expected price and the observed price as an index of attentional salience and integrates ...
Kazuhisa Takemura +4 more
doaj +1 more source
Bayesian Inference for Multivariate Monotone Densities
Scandinavian Journal of Statistics, EarlyView.ABSTRACT We consider a nonparametric Bayesian approach to estimation and testing for a multivariate monotone density. Instead of following the conventional Bayesian approach of imposing a prior that satisfies the monotonicity restriction, we place a prior on the step heights via binning and a Dirichlet distribution. The resulting posterior distribution
Kang Wang, Subhashis Ghosal
wiley +1 more source
Topics in Cognitive Science, EarlyView.Abstract Recent studies suggest that learners who are asked to predict the outcome of an event learn more than learners who are asked to evaluate it retrospectively or not at all. One possible explanation for this “prediction boost” is that it helps learners engage metacognitive reasoning skills that may not be spontaneously leveraged, especially for ...
Joseph A. Colantonio +4 more
wiley +1 more source
Journal of Intelligent Medicine, Volume 3, Issue 3, Page 312-326, September 2026.Abstract Attentional control theory posits that anxiety disrupts goal‐directed attentional system; however, its neurophysiological mechanisms in generalized anxiety disorder (GAD) remain unclear. This study investigated two core operations of the goal‐directed attentional system in GAD—inhibition and shifting—by characterizing their behavioral and ...
Xinyu Hao +7 more
wiley +1 more source
Model‐Agnostic Influential Outlier Metric
Stat, Volume 15, Issue 3, September 2026.ABSTRACT The influential outlier metric (IOM) provides model‐agnostic influential outlier detection. We define influence of an observation using a combination of SHapley Additive exPlanation (SHAP) values and the residual. Both are transformed using normalizing flows, changing their respective measures to Gaussian distributions.
Colin C. Jones, David A. Campbell
wiley +1 more source
Identifying critical state of complex diseases by single-sample Kullback-Leibler divergence. [PDF]
BMC Genomics, 2020 Zhong J, Liu R, Chen P.
europepmc +1 more source
Expert Systems, Volume 43, Issue 9, September 2026.ABSTRACT Evaluating synthetic data produced by generative models remains a critical challenge in sensitive domains such as healthcare and finance. Ensuring that such data is ‘faithful’ to real data is essential for downstream applications and decision‐making, including regulatory compliance. This paper introduces an AI‐powered interactive visual system—
Liqun Liu +5 more
wiley +1 more source