Cover Image

Robustifying likelihoods by optimistically re-weighting data

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Dewaskar, Miheer, Tosh, Christopher, Knoblauch, Jeremias, Dunson, David B.
Format:	Preprint
Published:	2023
Subjects:	Methodology Statistics Theory
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Bayesian Level Set Clustering
by: Buch, David, et al.
Published: (2024)

Exact Sampling of Gibbs Measures with Estimated Losses
by: Frazier, David T., et al.
Published: (2024)

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

Using prior information to boost power in correlation structure support recovery
by: Ding, Ziyang, et al.
Published: (2021)

Bayesian nonparametric modeling of latent partitions via Stirling-gamma priors
by: Zito, Alessandro, et al.
Published: (2023)

Pooling information in likelihood-free inference
by: Frazier, David T., et al.
Published: (2022)

Radial Neighbors for Provably Accurate Scalable Approximations of Gaussian Processes
by: Zhu, Yichen, et al.
Published: (2022)

Variance estimation after matching or re-weighting
by: Meng, Xiang, et al.
Published: (2025)

Inferring Covariance Structure from Multiple Data Sources via Subspace Factor Analysis
by: Chandra, Noirrit Kiran, et al.
Published: (2023)

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

Combining experimental and observational data through a power likelihood
by: Lin, Xi, et al.
Published: (2023)

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

Statistical inference of random graphs with a surrogate likelihood function
by: Wu, Dingbo, et al.
Published: (2022)

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

Marginal likelihoods for finite-support Huber contamination
by: Kim, Jaehoan
Published: (2026)

Empirical likelihood for Fréchet means on open books
by: Bharath, Karthik, et al.
Published: (2024)

E-values as statistical evidence: A comparison to Bayes factors, likelihoods, and p-values
by: Chugg, Ben, et al.
Published: (2026)

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

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

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

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

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

Iterating marginalized Bayes maps for likelihood maximization with application to nonlinear panel models
by: Wheeler, Jesse, et al.
Published: (2025)

New density/likelihood representations for Gibbs models based on generating functionals of point processes
by: Cronie, Ottmar
Published: (2024)

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

Optimally weighted average derivative effects
by: Hines, Oliver, et al.
Published: (2023)

Subscedastic weighted least squares estimates
by: Bryan, Jordan, et al.
Published: (2024)

One-step TMLE for weighted average treatment effects
by: Liu, Yang, et al.
Published: (2026)

On importance sampling and independent Metropolis-Hastings with an unbounded weight function
by: Deligiannidis, George, et al.
Published: (2024)

On new tests for the Poisson distribution based on empirical weight functions
by: Kirui, Winnie, et al.
Published: (2024)

No-prior Bayes reIMagined: probabilistic approximations of inferential models
by: Martin, Ryan
Published: (2025)

Test for high-dimensional mean vectors via the weighted $L_2$-norm
by: Li, Jianghao, et al.
Published: (2024)

Efficient estimation with incomplete data via generalised ANOVA decompositions
by: Berrett, Thomas B.
Published: (2024)

Two-stage weighted least squares estimator of multivariate non-negative observation-driven models
by: Armillotta, Mirko
Published: (2023)

A partial likelihood approach to tree-based density modeling and its application in Bayesian inference
by: Ma, Li, et al.
Published: (2024)

Comparing latent inequality with ordinal data
by: Kaplan, David M., et al.
Published: (2025)

Multiple change point detection in functional data with applications to biomechanical fatigue data
by: Bastian, Patrick, et al.
Published: (2023)

Addressing Confounding by Indication Through (Un)Measured Centre Characteristics in Learn-As-you-GO(LAGO) Trials
by: Bui, Minh Thu, et al.
Published: (2026)

Mosaic inference on panel data
by: Spector, Asher, et al.
Published: (2025)

On the Impossibility of Specification Testing of Interference Models Based on Exposure Mappings
by: Gao, Chao, et al.
Published: (2026)