Imagen de Portada

Gaussian quasi-likelihood analysis for non-Gaussian linear mixed-effects model with system noise

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Imamura, Takumi, Masuda, Hiroki
Formato:	Preprint
Publicado:	2024
Materias:	Statistics Theory
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Robustified Gaussian quasi-likelihood inference for volatility
por: Eguchi, Shoichi, et al.
Publicado: (2025)

Robustified Gaussian quasi-BIC for volatility
por: Eguchi, Shoichi, et al.
Publicado: (2026)

Quasi-likelihood inference for SDE with mixed-effects observed at high frequency
por: Delattre, Maud, et al.
Publicado: (2025)

On estimation of skewed stable linear regression
por: Kawamo, Eitaro, et al.
Publicado: (2024)

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

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

Posterior contraction rates in a sparse non-linear mixed-effects model
por: Naveau, Marion, et al.
Publicado: (2024)

On the effect of noise on fitting linear regression models
por: Ullah, Insha, et al.
Publicado: (2024)

Wasserstein bounds for non-linear Gaussian filters
por: Karvonen, Toni, et al.
Publicado: (2025)

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

Asymptotic analysis of the finite predictor for the fractional Gaussian noise
por: Chigansky, P., et al.
Publicado: (2025)

Estimation of projection operators with Gaussian noise
por: Castelli, Luca
Publicado: (2026)

Maximum likelihood estimation of mean functions for Gaussian processes under small noise asymptotics
por: Kobayashi, Mitsuki, et al.
Publicado: (2025)

Bayesian high-dimensional covariate selection in non-linear mixed-effects models using the SAEM algorithm
por: Naveau, Marion, et al.
Publicado: (2022)

Asymptotic inference for skewed stable Ornstein-Uhlenbeck process
por: Kawamo, Eitaro, et al.
Publicado: (2026)

Efficient estimation of stable Levy process with symmetric jumps
por: Brouste, Alexandre, et al.
Publicado: (2018)

Identifiability of causal effects with non-Gaussianity and auxiliary covariates
por: Shuai, Kang, et al.
Publicado: (2023)

Maximum likelihood thresholds of generic linear concentration models
por: Bernstein, Daniel Irving, et al.
Publicado: (2023)

Universality laws for Gaussian mixtures in generalized linear models
por: Dandi, Yatin, et al.
Publicado: (2023)

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

LAD estimation of locally stable SDE
por: Kulyk, Oleksii M., et al.
Publicado: (2026)

Finite sample-optimal adjustment sets in linear Gaussian causal models
por: Rutsch, Nadja, et al.
Publicado: (2025)

Partition function approach to non-Gaussian likelihoods: information theory and state variables for Bayesian inference
por: Kuntz, Rebecca Maria, et al.
Publicado: (2024)

On a surprising behavior of the likelihood ratio test in non-parametric mixture models
por: Zhang, Yan, et al.
Publicado: (2025)

Functional linear and single-index models: A unified approach via Gaussian Stein identity
por: Balasubramanian, Krishnakumar, et al.
Publicado: (2022)

Proof of a Conjecture of Drton, Sturmfels and Sullivant on the maximum likelihood degree of the Gaussian graphical model of a cycle
por: Dinu, Rodica Andreea, et al.
Publicado: (2025)

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

Fisher-Rao distances between finite-energy signals in Gaussian noise
por: Florin, Franck
Publicado: (2025)

Uniform inference in linear mixed models
por: Ekvall, Karl Oskar, et al.
Publicado: (2025)

The interplay of signal-to-noise ratio and variance misspecification in Gaussian mixtures
por: Serov, Vladimir, et al.
Publicado: (2026)

Signal-to-noise ratio aware minimax analysis of sparse linear regression
por: Ghosh, Shubhangi, et al.
Publicado: (2025)

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

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

A structural equation formulation for general quasi-periodic Gaussian processes
por: Nigam, Unnati, et al.
Publicado: (2025)

Asymptotic mixed normality of maximum likelihood estimator for Ewens--Pitman partition
por: Koriyama, Takuya, et al.
Publicado: (2022)

A closed form solution for Bayesian analysis of a simple linear mixed model
por: Vinje, Hilde, et al.
Publicado: (2026)

Valid and efficient possibilistic structure learning in Gaussian linear regression
por: Martin, Ryan, et al.
Publicado: (2025)

Semi-supervised learning in unmatched linear regression using an empirical likelihood approach
por: Balabdaoui, Fadoua, et al.
Publicado: (2026)

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

Monte Carlo and quasi-Monte Carlo integration for likelihood functions
por: Tang, Yanbo
Publicado: (2025)