Cover Image

Some Generalized Information and Divergence Generating Functions: Properties, Estimation, Validation and Applications

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Saha, Shital, Kayal, Suchandan, Balakrishnan, N.
Format:	Preprint
Published:	2024
Subjects:	Statistics Theory
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

General weighted information and relative information generating functions with properties
by: Saha, Shital, et al.
Published: (2023)

Different informational characteristics of cubic transmuted distributions
by: Saha, Shital, et al.
Published: (2022)

Weighted past and paired dynamic varentropy measures, their properties and usefulness
by: Saha, Shital, et al.
Published: (2024)

Multivariate Rényi inaccuracy measures based on copulas: properties and application
by: Saha, Shital, et al.
Published: (2025)

Copula-based extropy measures, properties and dependence in bivariate distributions
by: Saha, Shital, et al.
Published: (2023)

Weighted (residual) varentropy and its applications
by: Saha, Shital, et al.
Published: (2023)

Estimating location parameters of several exponential distributions with ordered restriction under Linex loss function
by: Bajpai, Shrajal, et al.
Published: (2025)

Stochastic comparisons of finite mixtures with general exponentiated location-scale distributed components
by: Bhakta, Raju, et al.
Published: (2025)

Ordering results between two finite arithmetic mixture models with multiple-outlier location-scale distributed components
by: Bhakta, Raju, et al.
Published: (2024)

Stochastic orderings between two finite mixture models with inverted-Kumaraswamy distributed components
by: Bhakta, Raju, et al.
Published: (2023)

Relationship between Hölder Divergence and Functional Density Power Divergence: Intersection and Generalization
by: Kobayashi, Masahiro
Published: (2025)

Asymptotic Breakdown Point Analysis for a General Class of Minimum Divergence Estimators
by: Roy, Subhrajyoty, et al.
Published: (2023)

The Fundamental Limits of Structure-Agnostic Functional Estimation
by: Balakrishnan, Sivaraman, et al.
Published: (2023)

On High Dimensional Behaviour of Some Two-Sample Tests Based on Ball Divergence
by: Banerjee, Bilol, et al.
Published: (2022)

Characterization of Generalized Alpha-Beta Divergence and Associated Entropy Measures
by: Roy, Subhrajyoty, et al.
Published: (2025)

Convergence of the Inexact Langevin Algorithm in KL Divergence with Application to Score-based Generative Models
by: Yang, Kaylee Yingxi, et al.
Published: (2022)

The Relative Information Generating Function-A Quantile Approach
by: G., Sankaran P., et al.
Published: (2024)

A Novel Bivariate Generalized Weibull Distribution with Properties and Applications
by: Pathak, Ashok Kumar, et al.
Published: (2021)

General Divergence Regularized Optimal Transport: Sample Complexity and Central Limit Theorems
by: Yang, Jiaping, et al.
Published: (2025)

Generalized Bayesian Additive Regression Trees: Theory and Software
by: Saha, Enakshi
Published: (2023)

A New Estimator of Kullback--Leibler Divergence via Shannon Entropy
by: Cadirci, Mehmet Siddik, et al.
Published: (2026)

Functional Generalized Empirical Likelihood Estimation for Conditional Moment Restrictions
by: Kremer, Heiner, et al.
Published: (2022)

Causal Effect Estimation after Propensity Score Trimming with Continuous Treatments
by: Branson, Zach, et al.
Published: (2023)

Ordering results for random maxima and minima from two dependent Kumaraswamy generalized distributed samples
by: Das, Sangita, et al.
Published: (2025)

Unbiased Estimating Equation on Inverse Divergence and Its Conditions
by: Kobayashi, Masahiro, et al.
Published: (2024)

Plugin Estimation of Smooth Optimal Transport Maps
by: Manole, Tudor, et al.
Published: (2021)

Some Robustness Properties of Label Cleaning
by: Cheng, Chen, et al.
Published: (2025)

A Constructive Approach to $q$-Gaussian Distributions: $α$-Divergence as Rate Function and Generalized de Moivre-Laplace Theorem
by: Suyari, Hiroki, et al.
Published: (2026)

Polyspectral Mean Estimation of General Nonlinear Processes
by: Ghosh, Dhrubajyoti, et al.
Published: (2024)

A Generalized Notion of Completeness and Its Application
by: Singh, Himanshi, et al.
Published: (2025)

Non-asymptotic Properties of Generalized Mondrian Forests in Statistical Learning
by: Zhan, Haoran, et al.
Published: (2024)

Some Results on Generalized Familywise Error Rate Controlling Procedures under Dependence
by: Dey, Monitirtha, et al.
Published: (2025)

State Variation Mining: On Information Divergence with Message Importance in Big Data
by: She, Rui, et al.
Published: (2018)

Generalized Entropy Power Inequalities and Monotonicity Properties of Information
by: Madiman, Mokshay, et al.
Published: (2006)

Optimal Estimation for General Gaussian Processes
by: Takabatake, Tetsuya, et al.
Published: (2025)

Variational Approach for Efficient KL Divergence Estimation in Dirichlet Mixture Models
by: Pal, Samyajoy, et al.
Published: (2024)

A Unified Representation of Density-Power-Based Divergences Reducible to M-Estimation
by: Kobayashi, Masahiro
Published: (2025)

Optimal Rates for Functional Linear Regression with General Regularization
by: Gupta, Naveen, et al.
Published: (2024)

Information-Geometric Decomposition of Generalization Error in Unsupervised Learning
by: Kim, Gilhan
Published: (2026)

Frequentist Oracle Properties of Bayesian Stacking Estimators
by: Zulj, Valentin, et al.
Published: (2024)