Copertina

On Generalized Likelihood Estimation Based on the Logarithmic Norm Relative Entropy

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Singh, Himanshi, Ghosh, Abhik, Hazra, Nil Kamal
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Statistics Theory
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

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

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

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

Robust Estimation for Dependent Binary Network Data
di: Liu, Tianyu, et al.
Pubblicazione: (2025)

Robust Rank Estimation for Noisy Matrices
di: Roy, Subhrajyoty, et al.
Pubblicazione: (2025)

Analysis of the rSVDdpd Algorithm: A Robust Singular Value Decomposition Method using Density Power Divergence
di: Roy, Subhrajyoty, et al.
Pubblicazione: (2023)

Asymptotic Results for Penalized Quasi-Likelihood Estimation in Generalized Linear Mixed Models
di: Ning, Xu, et al.
Pubblicazione: (2024)

MESSY Estimation: Maximum-Entropy based Stochastic and Symbolic densitY Estimation
di: Tohme, Tony, et al.
Pubblicazione: (2023)

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

Asymptotic breakdown point analysis of the minimum density power divergence estimator under independent non-homogeneous setups
di: Jana, Suryasis, et al.
Pubblicazione: (2025)

Score-Preserving Targeted Maximum Likelihood Estimation
di: Pimentel, Noel, et al.
Pubblicazione: (2025)

Quasi-Maximum Likelihood Estimation of long-memory linear processes
di: Bardet, Jean-Marc, et al.
Pubblicazione: (2023)

Maximum Likelihood Estimators of Quantum Probabilities
di: Navara, Mirko, et al.
Pubblicazione: (2024)

Fast Near-Optimal Estimation over Symmetric Norm Balls
di: Neykov, Matey
Pubblicazione: (2026)

High-dimensional Covariance Estimation by Pairwise Likelihood Truncation
di: Casa, Alessandro, et al.
Pubblicazione: (2024)

Maximum Likelihood Estimation of the Parameters of Matrix Variate Symmetric Laplace Distribution
di: Yadav, Pooja, et al.
Pubblicazione: (2025)

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

Distribution Estimation under the Infinity Norm
di: Kontorovich, Aryeh, et al.
Pubblicazione: (2024)

On Learning-Curve Monotonicity for Maximum Likelihood Estimators
di: Sellke, Mark, et al.
Pubblicazione: (2025)

High-Dimensional Binary Variates: Maximum Likelihood Estimation with Nonstationary Covariates and Factors
di: Kong, Xinbing, et al.
Pubblicazione: (2025)

A Quasi Maximum Likelihood Estimation Method for Bergomi-Type Volatility Models
di: Fukasawa, Masaaki, et al.
Pubblicazione: (2026)

A Weighted Likelihood Approach Based on Statistical Data Depths
di: Agostinelli, Claudio, et al.
Pubblicazione: (2025)

Empirical Bayes Estimation and Inference via Smooth Nonparametric Maximum Likelihood
di: Kim, Taehyun, et al.
Pubblicazione: (2026)

Empirical Likelihood Based Inference for a Divergence Measure Based on Survival Extropy
di: Garg, Naresh, et al.
Pubblicazione: (2025)

Logarithmic Asymptotic Relations Between $p$-Values and Mutual Information
di: Mori, Tsutomu, et al.
Pubblicazione: (2023)

The Statistical Accuracy of Neural Posterior and Likelihood Estimation
di: Frazier, David T., et al.
Pubblicazione: (2024)

Besting Good--Turing: Optimality of Non-Parametric Maximum Likelihood for Distribution Estimation
di: Han, Yanjun, et al.
Pubblicazione: (2025)

A Proof of Strong Consistency of Maximum Likelihood Estimator for Independent Non-Identically Distributed Data
di: Ferreira, Ricardo, et al.
Pubblicazione: (2025)

Novel Tau-Informed Initialization for Maximum Likelihood Estimation of Copulas with Discrete Margins
di: van Es, Anna, et al.
Pubblicazione: (2025)

Asymptotic Properties of the Maximum Likelihood Estimator for Markov-switching Observation-driven Models
di: Krabbe, Frederik
Pubblicazione: (2024)

Assessing the Impact of Block Size on Block Likelihood Estimation: A Comparative Study
di: Alegría, Alfredo
Pubblicazione: (2024)

Reformulating Confidence as Extended Likelihood
di: Lee, Youngjo
Pubblicazione: (2025)

Likelihood-free hypothesis testing
di: Gerber, Patrik Róbert, et al.
Pubblicazione: (2022)

Rational Maximum Likelihood Estimators of Kronecker Covariance Matrices
di: Drton, Mathias, et al.
Pubblicazione: (2024)

Jackknife Empirical Likelihood Ratio Test for Cauchy Distribution
di: Avhad, Ganesh Vishnu, et al.
Pubblicazione: (2024)

Quasi Maximum Likelihood Estimation of High-Dimensional Factor Models: A Critical Review
di: Barigozzi, Matteo
Pubblicazione: (2023)

Maximum Ideal Likelihood Estimation: A Unified Inference Framework for Latent Variable Models
di: Cai, Yizhou, et al.
Pubblicazione: (2024)

Maximum Likelihood Estimation under the Emax Model: Existence, Geometry and Efficiency
di: Aletti, Giacomo, et al.
Pubblicazione: (2023)

Beyond Maximum Likelihood: Variational Inequality Estimation for Generalized Linear Models
di: Zhu, Linglingzhi, et al.
Pubblicazione: (2025)

On the Entropy of General Mixture Distributions
di: Lee, Namyoon
Pubblicazione: (2026)