Imagen de Portada

On a surprising behavior of the likelihood ratio test in non-parametric mixture models

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Zhang, Yan, Volgushev, Stanislav
Formato:	Preprint
Publicado:	2025
Materias:	Statistics Theory
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Adaptivity of the NPMLE to finitely discrete mixing distributions in Gaussian/Poisson mixtures
por: Zhang, Yan, et al.
Publicado: (2026)

Simultaneous hypothesis testing for comparing many functional means
por: Decker, Colin, et al.
Publicado: (2025)

Gaussian mixtures and non-parametric likelihoods through the lens of statistical mechanics
por: Ghosh, Subhroshekhar, et al.
Publicado: (2026)

Universality of Benign Overfitting in Binary Linear Classification
por: Hashimoto, Ichiro, et al.
Publicado: (2025)

Quasi-likelihood ratio test for jump-diffusion processes based on adaptive maximum likelihood inference
por: Nishikawa, Hiromasa, et al.
Publicado: (2025)

The exact distribution of the conditional likelihood-ratio test in instrumental variables regression
por: Londschien, Malte
Publicado: (2025)

Asymptotics for likelihood ratio tests of boundary points with singular information and unidentifiable nuisance parameters
por: Ekvall, Karl Oskar, et al.
Publicado: (2026)

Learning extremal graphical structures in high dimensions
por: Engelke, Sebastian, et al.
Publicado: (2021)

Pseudo-variance quasi-maximum likelihood estimation of semi-parametric time series models
por: Armillotta, Mirko, et al.
Publicado: (2023)

Jackknife empirical likelihood ratio test for log symmetric distribution using probability weighted moments
por: S, Anjana, et al.
Publicado: (2024)

Maximum likelihood estimation in the sparse Rasch model
por: Peng, Pai, et al.
Publicado: (2025)

A mixture of a normal distribution with random mean and variance -- Examples of inconsistency of maximum likelihood estimates
por: Ritov, Ya'acov
Publicado: (2024)

Empirical tail dependence functions in high dimensions: uniform linearizations and inference
por: Bücher, Axel, et al.
Publicado: (2026)

On testing the class of symmetry using entropy characterization and empirical likelihood approach
por: Avhad, Ganesh Vishnu, et al.
Publicado: (2025)

Likelihood ratio tests in random graph models with increasing dimensions
por: Yan, Ting, et al.
Publicado: (2023)

Gaussian quasi-likelihood analysis for non-Gaussian linear mixed-effects model with system noise
por: Imamura, Takumi, et al.
Publicado: (2024)

An exact unbiased semi-parametric maximum quasi-likelihood framework which is complete in the presence of ties
por: Hurley, Landon
Publicado: (2025)

An exact unbiased semi-parametric L2 quasi-likelihood framework, complete in the presence of ties
por: Hurley, Landon
Publicado: (2026)

Synthetic likelihood in misspecified models
por: Frazier, David T., et al.
Publicado: (2021)

Common TF-IDF variants arise as key components in the test statistic of a penalized likelihood-ratio test for word burstiness
por: Ahmed, Zeyad, et al.
Publicado: (2026)

Cluster expansion of the log-likelihood ratio: Optimal detection of planted matchings
por: Wee, Timothy L. H., et al.
Publicado: (2025)

Reconciling common source, specific source, feature based and score based likelihood ratios
por: Boonstra, Aafko, et al.
Publicado: (2024)

Likelihood ratio tests under model misspecification in high dimensions
por: Dörnemann, Nina
Publicado: (2022)

Adaptive smoothness of function estimation in the three classical problems of the non-parametrical statistic in the three classical problems of the non-parametrical statistic
por: Formica, M. R., et al.
Publicado: (2024)

On the relation between likelihood ratios and p-values for testing success probabilities of Bernoulli trials
por: Kager, Wouter, et al.
Publicado: (2024)

Controlling the false discovery rate under a non-parametric graphical dependence model
por: Nguyen, Drew T., et al.
Publicado: (2025)

General oracle inequalities for a penalized log-likelihood criterion based on non-stationary data
por: Aubert, Julien, et al.
Publicado: (2024)

T-calibration in semi-parametric models
por: Mühlemann, Anja, et al.
Publicado: (2025)

On the identifiability of Dirichlet mixture models
por: Nguyen, Hien Duy, et al.
Publicado: (2026)

Strong consistency of pseudo-likelihood parameter estimator for univariate Gaussian mixture models
por: Lember, Jüri, et al.
Publicado: (2025)

Fundamentals of non-parametric statistical inference for integrated quantiles
por: Gribkova, Nadezhda, et al.
Publicado: (2025)

Fast computation and theoretical guarantees for the NPMLE in exponential family mixtures
por: Zhang, Yan
Publicado: (2026)

On universal inference in Gaussian mixture models
por: Shi, Hongjian, et al.
Publicado: (2024)

On the role of parametrization in models with a misspecified nuisance component
por: Battey, Heather, et al.
Publicado: (2024)

Maximum likelihood estimation for the $λ$-exponential family
por: Tian, Xiwei, et al.
Publicado: (2025)

Model robust hybrid likelihood
por: Dæhlen, Ingrid, et al.
Publicado: (2024)

On the maximum likelihood degree for Gaussian graphical models
por: Améndola, Carlos, et al.
Publicado: (2024)

Restricted maximum likelihood estimation in generalized linear mixed models
por: Maestrini, Luca, et al.
Publicado: (2024)

Parametric convergence rate of a non-parametric estimator in multivariate mixtures of power series distributions under conditional independence
por: Balabdaoui, Fadoua, et al.
Publicado: (2025)

Spectral approximation for the separable covariance mixture model
por: Deitmar, Ben
Publicado: (2026)