Results 81 to 90 of about 256,087 (210)
On Weighted Kullback–Leibler Divergence for Doubly Truncated Random Variables
Revstat Statistical Journal, 2019 In this communication, we study doubly truncated weighted Kullback–Leibler divergence (KLD) between two nonnegative random variables. The proposed measure is a generalization of the dynamic weighted KLD introduced by Yasaei Sekeh et al. (2013).
Rajesh Moharana , Suchandan Kayal
doaj +1 more source
Unintegrated Gluon Distributions as Probability Densities for QCD Dynamical Entropy
Astronomische Nachrichten, EarlyView.ABSTRACT We present a systematic procedure for constructing normalized transverse momentum probability distributions from phenomenological unintegrated gluon distributions (UGDs). These distributions provide the probabilistic foundation of the QCD dynamical entropy formalism and can be employed in the evaluation of other statistical observables.
G. S. Ramos, Magno V. T. Machado
wiley +1 more source
Efficient ECG classification based on the probabilistic Kullback-Leibler divergence
Informatics in Medicine UnlockedDiagnostic systems of cardiac arrhythmias face early and accurate detection challenges due to the overlap of electrocardiogram (ECG) patterns. Additionally, these systems must manage a huge number of features.
Dhiah Al-Shammary +5 more
doaj +1 more source
Homophily‐adjusted social influence estimation
Canadian Journal of Statistics, EarlyView.Abstract Homophily and social influence are two key concepts of social network analysis. Distinguishing between these phenomena is difficult, and approaches to disambiguate the two have been primarily limited to longitudinal data analyses. In this study, we provide sufficient conditions for valid estimation of social influence through cross‐sectional ...
Hanh T.D. Pham, Daniel K. Sewell
wiley +1 more source
Sparse maximum likelihood estimation of regression models
Canadian Journal of Statistics, EarlyView.Abstract For regression model selection and estimation, we study a small set of candidate models of maximum likelihood from which all information criteria such as the Akaike information criterion (AIC) and the Bayesian information criterion (BIC) choose their models.
Min Tsao
wiley +1 more source
An Introduction to Predictive Processing Models of Perception and Decision‐Making
Topics in Cognitive Science, EarlyView., 2023 Abstract The predictive processing framework includes a broad set of ideas, which might be articulated and developed in a variety of ways, concerning how the brain may leverage predictive models when implementing perception, cognition, decision‐making, and motor control.
Mark Sprevak, Ryan Smith
wiley +1 more source
Evaluation of Kullback-Leibler Divergence
, 2015 Kullback-Leibler divergence is a leading measure of similarity or dissimilarity of probability distributions.
Homolová, Jitka
core
Mitigating measurement error in misspecified small area models
Canadian Journal of Statistics, EarlyView.Abstract In the framework of Small area estimation, we consider an area‐level model where a subset of covariates is measured with error. The extent of the error is assumed to be constant throughout the areas, and it is expressed by a scalar parameter γ$$ \gamma $$, which multiplies the deterministic covariance matrix of the estimator of the true ...
Diego Battagliese +3 more
wiley +1 more source
Learning sparse mixture‐of‐experts generalized linear models in ultrahigh dimensions
Canadian Journal of Statistics, EarlyView.Abstract Motivated by the challenges of heterogeneity and high dimensionality in the analysis of modern data, we investigate continuous regularization methods for learning sparse mixture‐of‐experts generalized linear models (MoE‐GLM). Although there are foundational results about regularized estimators in a broad class of regression models including ...
Pengqi Liu, Abbas Khalili
wiley +1 more source
Kullback-Leibler Divergence of Sleep-Wake Patterns Related with Depressive Severity in Patients with Epilepsy. [PDF]
Brain Sci, 2023 Liu M +5 more
europepmc +1 more source