Cover Image

On MCMC mixing for predictive inference under unidentified transformation models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhong, Chong, Yang, Jin, Shen, Junshan, Li, Zhaohai, Liu, Catherine C.
Format:	Preprint
Published:	2024
Subjects:	Methodology Statistics Theory
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

Posterior inference via Hill's prediction model
by: Bissiri, Pier Giovanni, et al.
Published: (2026)

Doubly robust inference with censoring unbiased transformations
by: Sandqvist, Oliver Lunding
Published: (2024)

Quantification and cross-fitting inference of asymmetric relations under generative exposure mapping models
by: Purkayastha, Soumik, et al.
Published: (2023)

Rank-transformed subsampling: inference for multiple data splitting and exchangeable p-values
by: Guo, F. Richard, et al.
Published: (2023)

Anytime valid and asymptotically optimal inference driven by predictive recursion
by: Dixit, Vaidehi, et al.
Published: (2023)

Semi-parametric Bayesian inference under Neyman orthogonality
by: Sabbagh, Magid, et al.
Published: (2026)

Simultaneous semiparametric inference for single-index models
by: Tang, Jiajun, et al.
Published: (2024)

Post-reduction inference for confidence sets of models
by: Battey, Heather, et al.
Published: (2025)

Rate-optimal estimation of mixed semimartingales
by: Chong, Carsten H., et al.
Published: (2022)

Causal inference under transportability assumptions for conditional relative effect measures
by: Wang, Guanbo, et al.
Published: (2024)

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

Uncertainty quantification of synchrosqueezing transform under complicated nonstationary noise
by: Wu, Hau-Tieng, et al.
Published: (2025)

High-dimensional inference for single-index model with latent factors
by: Shi, Yanmei, et al.
Published: (2025)

Uncertainty quantification for mixed membership in multilayer networks with degree heterogeneity using Gaussian variational inference
by: Xie, Fangzheng, et al.
Published: (2025)

Semiparametric fiducial inference for Cox models
by: Cui, Yifan, et al.
Published: (2024)

Empirical Bayes inference in sparse high-dimensional generalized linear models
by: Tang, Yiqi, et al.
Published: (2023)

A Bayesian framework with adaptive elastic nets for the inference of Gaussian graphical models
by: Sogan, Roland B., et al.
Published: (2026)

Low-order outcomes and clustered designs: combining design and analysis for causal inference under network interference
by: Eichhorn, Matthew, et al.
Published: (2024)

Valid model-free spatial prediction
by: Mao, Huiying, et al.
Published: (2020)

Scalable Bayesian inference for heat kernel Gaussian processes on manifolds
by: He, Junhui, et al.
Published: (2024)

Design-based inference for generalized causal effects in randomized experiments
by: Chen, Xinyuan, et al.
Published: (2026)

A semiparametric autorregresive spatial prediction model
by: Arancibia, Rodrigo García, et al.
Published: (2026)

On a new PGDUS transformed model using Inverse Weibull distribution
by: Gauthami, P, et al.
Published: (2025)

Increasing dimension asymptotics for two-way crossed mixed effect models
by: Lyu, Ziyang, et al.
Published: (2024)

Improved confidence intervals for nonlinear mixed-effects and nonparametric regression models
by: Zheng, Nan, et al.
Published: (2024)

Dynamic treatment effects: high-dimensional inference under model misspecification
by: Zhang, Yuqian, et al.
Published: (2021)

Neymanian inference in randomized experiments
by: Chattopadhyay, Ambarish, et al.
Published: (2024)

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

Turning the information-sharing dial: efficient inference from different data sources
by: Hector, Emily C., et al.
Published: (2022)

Sacred and Profane: from the Involutive Theory of MCMC to Helpful Hamiltonian Hacks
by: Glatt-Holtz, Nathan E., et al.
Published: (2024)

Improved bounds and inference on optimal regimes
by: Laurendeau, Julien D., et al.
Published: (2024)

Selective inference is easier with p-values
by: Sood, Anav
Published: (2024)

On inference for modularity statistics in structured networks
by: Mitra, Anirban, et al.
Published: (2024)

Optimal inference for the mean of random functions
by: Kassi, Omar, et al.
Published: (2025)

Distribution-free inference with hierarchical data
by: Lee, Yonghoon, et al.
Published: (2023)

A new look at fiducial inference
by: Bissiri, Pier Giovanni, et al.
Published: (2025)

Detection and inference of changes in high-dimensional linear regression with non-sparse structures
by: Cho, Haeran, et al.
Published: (2024)

A note on numerical evaluation of conditional Akaike information for nonlinear mixed-effects models
by: Zheng, Nan, et al.
Published: (2024)

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