A mirror descent approach to maximum likelihood estimation in latent variable models
Fuente:
arXiv
Enregistré dans:
| Auteur principal: | Crucinio, Francesca R. |
|---|---|
| Format: | Preprint |
| Publié: |
2025
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
Towards a turnkey approach to unbiased Monte Carlo estimation of smooth functions of expectations
par: Chopin, Nicolas, et autres
Publié: (2024)
par: Chopin, Nicolas, et autres
Publié: (2024)
A note on the unique properties of the Kullback--Leibler divergence for sampling via gradient flows
par: Crucinio, Francesca Romana
Publié: (2025)
par: Crucinio, Francesca Romana
Publié: (2025)
A comparison of the discrimination performance of lasso and maximum likelihood estimation in logistic regression model
par: Junior, Gilberto P. Alcântara, et autres
Publié: (2024)
par: Junior, Gilberto P. Alcântara, et autres
Publié: (2024)
Properties and limitations of geometric tempering for gradient flow dynamics
par: Crucinio, Francesca Romana, et autres
Publié: (2026)
par: Crucinio, Francesca Romana, et autres
Publié: (2026)
Scalable likelihood-based estimation and variable selection for the Cox model with incomplete covariates
par: Kwok, Ngok Sang, et autres
Publié: (2024)
par: Kwok, Ngok Sang, et autres
Publié: (2024)
Estimating the variance-covariance matrix of two-step estimates of latent variable models: A general simulation-based approach
par: Di Mari, Roberto, et autres
Publié: (2025)
par: Di Mari, Roberto, et autres
Publié: (2025)
Sequential Monte Carlo approximations of Wasserstein--Fisher--Rao gradient flows
par: Crucinio, Francesca R., et autres
Publié: (2025)
par: Crucinio, Francesca R., et autres
Publié: (2025)
Restricted maximum likelihood estimation in generalized linear mixed models
par: Maestrini, Luca, et autres
Publié: (2024)
par: Maestrini, Luca, et autres
Publié: (2024)
Efficient smoothness selection for nonparametric Markov-switching models via quasi restricted maximum likelihood
par: Koslik, Jan-Ole
Publié: (2024)
par: Koslik, Jan-Ole
Publié: (2024)
Asymptotic properties of generalized closed-form maximum likelihood estimators
par: Ramos, Pedro L., et autres
Publié: (2021)
par: Ramos, Pedro L., et autres
Publié: (2021)
"Within-trial" prognostic score adjustment is targeted maximum likelihood estimation
par: Højbjerre-Frandsen, Emilie, et autres
Publié: (2025)
par: Højbjerre-Frandsen, Emilie, et autres
Publié: (2025)
Testing procedures based on maximum likelihood estimation for Marked Hawkes processes
par: Bonnet, Anna, et autres
Publié: (2024)
par: Bonnet, Anna, et autres
Publié: (2024)
Pseudo-variance quasi-maximum likelihood estimation of semi-parametric time series models
par: Armillotta, Mirko, et autres
Publié: (2023)
par: Armillotta, Mirko, et autres
Publié: (2023)
Independent Approximates provide a maximum likelihood estimate for heavy-tailed distributions
par: AL-Najafi, Amenah, et autres
Publié: (2024)
par: AL-Najafi, Amenah, et autres
Publié: (2024)
Dealing with separation problem in hidden Markov models with covariates based on a penalized maximum likelihood approach
par: Brusa, Luca, et autres
Publié: (2025)
par: Brusa, Luca, et autres
Publié: (2025)
Solving Fredholm Integral Equations of the Second Kind via Wasserstein Gradient Flows
par: Crucinio, Francesca R., et autres
Publié: (2024)
par: Crucinio, Francesca R., et autres
Publié: (2024)
Constructing targeted minimum loss/maximum likelihood estimators: a simple illustration to build intuition
par: Ross, Rachael K., et autres
Publié: (2025)
par: Ross, Rachael K., et autres
Publié: (2025)
A maximum penalised likelihood approach for semiparametric accelerated failure time models with time-varying covariates and partly interval censoring
par: Bhaskaran, Aishwarya, et autres
Publié: (2024)
par: Bhaskaran, Aishwarya, et autres
Publié: (2024)
Stochastic highway capacity: Unsuitable Kaplan-Meier estimator, revised maximum likelihood estimator, and impact of speed harmonisation
par: Mikolášek, Igor
Publié: (2025)
par: Mikolášek, Igor
Publié: (2025)
Unbiased likelihood estimation of the Langevin diffusion for animal movement modelling
par: Togunov, Ron R., et autres
Publié: (2025)
par: Togunov, Ron R., et autres
Publié: (2025)
Experiment-selector cross-validated targeted maximum likelihood estimator for hybrid RCT-external data studies
par: Dang, Lauren Eyler, et autres
Publié: (2022)
par: Dang, Lauren Eyler, et autres
Publié: (2022)
Composite likelihood inference for the Poisson log-normal model
par: Stoehr, Julien, et autres
Publié: (2024)
par: Stoehr, Julien, et autres
Publié: (2024)
A robust approach for generalized linear models based on maximum Lq-likelihood procedure
par: Osorio, Felipe, et autres
Publié: (2024)
par: Osorio, Felipe, et autres
Publié: (2024)
A unified approach to penalized likelihood estimation of covariance matrices in high dimensions
par: Cibinel, Luca, et autres
Publié: (2024)
par: Cibinel, Luca, et autres
Publié: (2024)
Uncertainty calibration for latent-variable regression models
par: Duma, Zina-Sabrina, et autres
Publié: (2025)
par: Duma, Zina-Sabrina, et autres
Publié: (2025)
An operator splitting analysis of Wasserstein--Fisher--Rao gradient flows
par: Crucinio, Francesca Romana, et autres
Publié: (2025)
par: Crucinio, Francesca Romana, et autres
Publié: (2025)
A maximum likelihood estimation of Lévy-driven stochastic systems for univariate and multivariate time series of observations
par: Arani, Babak M. S.
Publié: (2024)
par: Arani, Babak M. S.
Publié: (2024)
Elliptical Wishart distributions: information geometry, maximum likelihood estimator, performance analysis and statistical learning
par: Ayadi, Imen, et autres
Publié: (2024)
par: Ayadi, Imen, et autres
Publié: (2024)
Two-step estimation of latent trait models
par: Kuha, Jouni, et autres
Publié: (2023)
par: Kuha, Jouni, et autres
Publié: (2023)
Stabilised weighted data subsampling for accelerated inference in models with recursive likelihoods
par: Quiroz, Matias, et autres
Publié: (2026)
par: Quiroz, Matias, et autres
Publié: (2026)
Spherical latent space models for social network analysis
par: Sosa, Juan, et autres
Publié: (2025)
par: Sosa, Juan, et autres
Publié: (2025)
Opaque prior distributions in Bayesian latent variable models
par: Merkle, Edgar C., et autres
Publié: (2023)
par: Merkle, Edgar C., et autres
Publié: (2023)
Functional structural equation modeling with latent variables
par: Asgari, Fatemeh, et autres
Publié: (2024)
par: Asgari, Fatemeh, et autres
Publié: (2024)
Nonparametric efficient causal estimation of the intervention-specific expected number of recurrent events with continuous-time targeted maximum likelihood and highly adaptive lasso estimation
par: Rytgaard, Helene C. W., et autres
Publié: (2024)
par: Rytgaard, Helene C. W., et autres
Publié: (2024)
regMMD: An R package for parametric estimation and regression with maximum mean discrepancy
par: Alquier, Pierre, et autres
Publié: (2025)
par: Alquier, Pierre, et autres
Publié: (2025)
A partial likelihood approach to tree-based density modeling and its application in Bayesian inference
par: Ma, Li, et autres
Publié: (2024)
par: Ma, Li, et autres
Publié: (2024)
Dynamic likelihood hazard rate estimation
par: Hjort, Nils Lid
Publié: (2026)
par: Hjort, Nils Lid
Publié: (2026)
A latent variable model for identifying and characterizing food adulteration
par: Casa, Alessandro, et autres
Publié: (2025)
par: Casa, Alessandro, et autres
Publié: (2025)
DGP-LVM: Derivative Gaussian process latent variable models
par: Mukherjee, Soham, et autres
Publié: (2024)
par: Mukherjee, Soham, et autres
Publié: (2024)
Optimal combination of composite likelihoods using approximate Bayesian computation with application to state-space models
par: Li, Wentao, et autres
Publié: (2024)
par: Li, Wentao, et autres
Publié: (2024)
Documents similaires
-
Towards a turnkey approach to unbiased Monte Carlo estimation of smooth functions of expectations
par: Chopin, Nicolas, et autres
Publié: (2024) -
A note on the unique properties of the Kullback--Leibler divergence for sampling via gradient flows
par: Crucinio, Francesca Romana
Publié: (2025) -
A comparison of the discrimination performance of lasso and maximum likelihood estimation in logistic regression model
par: Junior, Gilberto P. Alcântara, et autres
Publié: (2024) -
Properties and limitations of geometric tempering for gradient flow dynamics
par: Crucinio, Francesca Romana, et autres
Publié: (2026) -
Scalable likelihood-based estimation and variable selection for the Cox model with incomplete covariates
par: Kwok, Ngok Sang, et autres
Publié: (2024)