Buchumschlag

Constructing targeted minimum loss/maximum likelihood estimators: a simple illustration to build intuition

Fuente: arXiv

Gespeichert in:

Bibliographische Detailangaben
Hauptverfasser:	Ross, Rachael K., Montoya, Lina M., Goin, Dana E., Diaz, Ivan, Renson, Audrey
Format:	Preprint
Veröffentlicht:	2025
Schlagworte:	Methodology
Online-Zugang:	Acceder al recurso
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Ähnliche Einträge

Pulling back the curtain: the road from statistical estimand to machine-learning based estimator for epidemiologists (no wizard required)
von: Renson, Audrey, et al.
Veröffentlicht: (2025)

Efficient estimation of longitudinal treatment effects using difference-in-differences and machine learning
von: Illenberger, Nicholas, et al.
Veröffentlicht: (2024)

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

What makes a study design quasi-experimental? The case of difference-in-differences
von: Renson, Audrey, et al.
Veröffentlicht: (2025)

Structural Nested Mean Models Under Parallel Trends with Interference
von: Shahn, Zach, et al.
Veröffentlicht: (2024)

Using causal diagrams to assess parallel trends in difference-in-differences studies
von: Renson, Audrey, et al.
Veröffentlicht: (2025)

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

Transporting treatment effects from difference-in-differences studies
von: Renson, Audrey, et al.
Veröffentlicht: (2023)

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

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

Transporting results from a trial to an external target population when trial participation impacts adherence
von: Ross, Rachael K., et al.
Veröffentlicht: (2025)

Testing procedures based on maximum likelihood estimation for Marked Hawkes processes
von: Bonnet, Anna, et al.
Veröffentlicht: (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
von: Rytgaard, Helene C. W., et al.
Veröffentlicht: (2024)

Independent Approximates provide a maximum likelihood estimate for heavy-tailed distributions
von: AL-Najafi, Amenah, et al.
Veröffentlicht: (2024)

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

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

Stochastic highway capacity: Unsuitable Kaplan-Meier estimator, revised maximum likelihood estimator, and impact of speed harmonisation
von: Mikolášek, Igor
Veröffentlicht: (2025)

A maximum likelihood estimation of Lévy-driven stochastic systems for univariate and multivariate time series of observations
von: Arani, Babak M. S.
Veröffentlicht: (2024)

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

Elliptical Wishart distributions: information geometry, maximum likelihood estimator, performance analysis and statistical learning
von: Ayadi, Imen, et al.
Veröffentlicht: (2024)

Dynamic likelihood hazard rate estimation
von: Hjort, Nils Lid
Veröffentlicht: (2026)

Validity of Complete Case Analysis Depends on the Target Population
von: Webster-Clark, Michael, et al.
Veröffentlicht: (2024)

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

Empirical sandwich variance estimator for iterated conditional expectation g-computation
von: Zivich, Paul N, et al.
Veröffentlicht: (2023)

Joint space-time modelling for upper daily maximum and minimum temperature record-breaking
von: Castillo-Mateo, Jorge, et al.
Veröffentlicht: (2025)

Dealing with separation problem in hidden Markov models with covariates based on a penalized maximum likelihood approach
von: Brusa, Luca, et al.
Veröffentlicht: (2025)

Treatment effect estimation by comparing observed and predicted outcomes: theory and practical illustration in radiotherapy
von: Meijerink, Lotta M., et al.
Veröffentlicht: (2025)

Efficient smoothness selection for nonparametric Markov-switching models via quasi restricted maximum likelihood
von: Koslik, Jan-Ole
Veröffentlicht: (2024)

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

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

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

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

Maximum multinomial likelihood estimation in compound mixture model with application to malaria study
von: Tian, Zhaoyang, et al.
Veröffentlicht: (2025)

A simple distributional difference-in-differences estimator for univariate and bivariate outcomes
von: Fernández-Val, Iván, et al.
Veröffentlicht: (2024)

A maximum penalised likelihood approach for semiparametric accelerated failure time models with time-varying covariates and partly interval censoring
von: Bhaskaran, Aishwarya, et al.
Veröffentlicht: (2024)

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

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

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

A simple strategy for valid inference in target trial emulations
von: Stensrud, Mats Julius
Veröffentlicht: (2026)

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