Copertina

Maximum multinomial likelihood estimation in compound mixture model with application to malaria study

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Tian, Zhaoyang, Liang, Kun, Li, Pengfei
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Methodology
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

A powerful procedure that controls the false discovery rate with directional information
di: Tian, Zhaoyang, et al.
Pubblicazione: (2025)

Maximum likelihood abundance estimation from capture-recapture data when covariates are missing at random
di: Liu, Yang, et al.
Pubblicazione: (2025)

Variable selection in frailty mixture cure models via penalized likelihood estimation
di: Tawiah, Richard, et al.
Pubblicazione: (2025)

Maximum smoothed likelihood method for the combination of multiple diagnostic tests, with application to the ROC estimation
di: Zheng, Fangyong, et al.
Pubblicazione: (2026)

Penalized empirical likelihood estimation and EM algorithms for closed-population capture-recapture models
di: Liu, Yang, et al.
Pubblicazione: (2022)

Maximum likelihood estimation for aggregate current status data: Simulation study using the illness-death model for chronic diseases with duration dependency
di: Saem, Maryam, et al.
Pubblicazione: (2024)

Neyman-Pearson multiclass classification under label noise via empirical likelihood
di: Zhang, Qiong, et al.
Pubblicazione: (2026)

Maximum softly penalised likelihood in factor analysis
di: Sterzinger, Philipp, et al.
Pubblicazione: (2025)

Prediction intervals for overdispersed multinomial data with application to historical controls
di: Budig, Sören, et al.
Pubblicazione: (2026)

Empirical likelihood meta analysis with publication bias correction under Copas-like selection model
di: Li, Mengke, et al.
Pubblicazione: (2025)

Unbiased likelihood estimation of the Langevin diffusion for animal movement modelling
di: Togunov, Ron R., et al.
Pubblicazione: (2025)

How to develop, externally validate, and update multinomial prediction models
di: Gehringer, Celina K, et al.
Pubblicazione: (2023)

Nonparametric latency estimation for mixture cure models
di: López-Cheda, Ana, et al.
Pubblicazione: (2024)

Dynamic likelihood hazard rate estimation
di: Hjort, Nils Lid
Pubblicazione: (2026)

Maximum-likelihood estimation of the Matérn covariance structure of isotropic spatial random fields on finite, sampled grids
di: Simons, Frederik J., et al.
Pubblicazione: (2025)

Feature aware covariance estimation, with application to mixtures of chemical exposures
di: Bersson, Elizabeth, et al.
Pubblicazione: (2025)

A mixture distribution approach for assessing genetic impact from twin study
di: Hu, Zonghui, et al.
Pubblicazione: (2025)

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

Testing Homogeneity in a heteroscedastic contaminated normal mixture
di: Niu, Xiaoqing, et al.
Pubblicazione: (2025)

The Whittle likelihood for mixed models with application to groundwater level time series
di: Pypkowski, Jakub J., et al.
Pubblicazione: (2025)

Semiparametric empirical likelihood inference for abundance from one-inflated capture-recapture data
di: Liu, Yang, et al.
Pubblicazione: (2025)

Optimal combination of composite likelihoods using approximate Bayesian computation with application to state-space models
di: Li, Wentao, et al.
Pubblicazione: (2024)

Two-step semiparametric empirical likelihood inference from capture-recapture data with missing covariates
di: Liu, Yang, et al.
Pubblicazione: (2025)

A mirror descent approach to maximum likelihood estimation in latent variable models
di: Crucinio, Francesca R.
Pubblicazione: (2025)

Scalable likelihood-based estimation and variable selection for the Cox model with incomplete covariates
di: Kwok, Ngok Sang, et al.
Pubblicazione: (2024)

A unified analysis of likelihood-based estimators in the Plackett--Luce model
di: Han, Ruijian, et al.
Pubblicazione: (2023)

Experiment-selector cross-validated targeted maximum likelihood estimator for hybrid RCT-external data studies
di: Dang, Lauren Eyler, et al.
Pubblicazione: (2022)

A penalized least squares estimator for extreme-value mixture models
di: Mourahib, Anas, et al.
Pubblicazione: (2025)

Nonparametric incidence estimation and bootstrap bandwidth selection in mixture cure models
di: López-Cheda, Ana, et al.
Pubblicazione: (2024)

A comparison of the discrimination performance of lasso and maximum likelihood estimation in logistic regression model
di: Junior, Gilberto P. Alcântara, et al.
Pubblicazione: (2024)

Asymptotic properties of generalized closed-form maximum likelihood estimators
di: Ramos, Pedro L., et al.
Pubblicazione: (2021)

Modeling and estimating skewed and heavy-tailed populations via unsupervised mixture models
di: Bee, Marco, et al.
Pubblicazione: (2025)

"Within-trial" prognostic score adjustment is targeted maximum likelihood estimation
di: Højbjerre-Frandsen, Emilie, et al.
Pubblicazione: (2025)

Closed-form estimators for an exponential family derived from likelihood equations
di: Vila, Roberto, et al.
Pubblicazione: (2024)

Testing procedures based on maximum likelihood estimation for Marked Hawkes processes
di: Bonnet, Anna, et al.
Pubblicazione: (2024)

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

Robust model selection using likelihood as data
di: Choi, Jongwoo, et al.
Pubblicazione: (2026)

On the distribution of isometric log-ratio transformations under extra-multinomial count data
di: Kartiosuo, Noora, et al.
Pubblicazione: (2024)

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

A unified approach to penalized likelihood estimation of covariance matrices in high dimensions
di: Cibinel, Luca, et al.
Pubblicazione: (2024)