Image de couverture de livre

Properly constrained reference priors decay rates for efficient and robust posterior inference

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteur principal:	Van Biesbroeck, Antoine
Format:	Preprint
Publié:	2024
Sujets:	Methodology Statistics Theory
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Generalized mutual information and their reference priors under Csizar f-divergence
par: Van Biesbroeck, Antoine
Publié: (2023)

Variational inference for approximate objective priors using neural networks
par: Baillie, Nils, et autres
Publié: (2025)

Doubly robust inference with censoring unbiased transformations
par: Sandqvist, Oliver Lunding
Publié: (2024)

Asymptotics of cut distributions and robust modular inference using Posterior Bootstrap
par: Pompe, Emilia, et autres
Publié: (2021)

Doubly robust inference via calibration
par: van der Laan, Lars, et autres
Publié: (2024)

With random regressors, least squares inference is robust to correlated errors with unknown correlation structure
par: Zhang, Zifeng, et autres
Publié: (2024)

Turning the information-sharing dial: efficient inference from different data sources
par: Hector, Emily C., et autres
Publié: (2022)

Confidence sequences with informative, bounded-influence priors
par: Cortinovis, Stefano, et autres
Publié: (2025)

Bayesian shrinkage priors subject to linear constraints
par: Ling, Zhi, et autres
Publié: (2025)

Regularized e-processes: anytime valid inference with knowledge-based efficiency gains
par: Martin, Ryan
Publié: (2024)

Early-stopped aggregation: Adaptive inference with computational efficiency
par: Ohn, Ilsang, et autres
Publié: (2026)

Asymptotics for parametric martingale posteriors
par: Fong, Edwin, et autres
Publié: (2024)

Random measure priors in Bayesian recovery from sketches
par: Beraha, Mario, et autres
Publié: (2023)

Causal inference through multi-stage learning and doubly robust deep neural networks
par: Zhang, Yuqian, et autres
Publié: (2024)

Using prior information to boost power in correlation structure support recovery
par: Ding, Ziyang, et autres
Publié: (2021)

Bayesian nonparametric modeling of latent partitions via Stirling-gamma priors
par: Zito, Alessandro, et autres
Publié: (2023)

Neymanian inference in randomized experiments
par: Chattopadhyay, Ambarish, et autres
Publié: (2024)

Mosaic inference on panel data
par: Spector, Asher, et autres
Publié: (2025)

Proper Scoring Rules for Multivariate Probabilistic Forecasts based on Aggregation and Transformation
par: Pic, Romain, et autres
Publié: (2024)

Nonparametric priors with full-range borrowing of information
par: Ascolani, Filippo, et autres
Publié: (2023)

Likelihood distortion and Bayesian local robustness
par: Di Noia, Antonio, et autres
Publié: (2024)

A Bayesian approach with Gaussian priors to the inverse problem of source identification in elliptic PDEs
par: Giordano, Matteo
Publié: (2024)

Bayesian High-dimensional Linear Regression with Sparse Projection-posterior
par: Pal, Samhita, et autres
Publié: (2024)

Sufficient conditions for proper posteriors in fully-Bayesian Functional PCA
par: Sartini, Joseph, et autres
Publié: (2026)

Improved bounds and inference on optimal regimes
par: Laurendeau, Julien D., et autres
Publié: (2024)

Selective inference is easier with p-values
par: Sood, Anav
Publié: (2024)

On inference for modularity statistics in structured networks
par: Mitra, Anirban, et autres
Publié: (2024)

Optimal inference for the mean of random functions
par: Kassi, Omar, et autres
Publié: (2025)

Distribution-free inference with hierarchical data
par: Lee, Yonghoon, et autres
Publié: (2023)

A new look at fiducial inference
par: Bissiri, Pier Giovanni, et autres
Publié: (2025)

Uniform inference in linear mixed models
par: Ekvall, Karl Oskar, et autres
Publié: (2025)

Increasing domain asymptotics for covariate-based nonparametric Bayesian intensity estimation with Gaussian and Besov-Laplace priors
par: Dolmeta, Patric, et autres
Publié: (2026)

Benefits and costs of matching prior to a Difference in Differences analysis when parallel trends does not hold
par: Ham, Dae Woong, et autres
Publié: (2022)

Asymptotically-exact selective inference for quantile regression
par: Wang, Yumeng, et autres
Publié: (2024)

Simultaneous semiparametric inference for single-index models
par: Tang, Jiajun, et autres
Publié: (2024)

Post-reduction inference for confidence sets of models
par: Battey, Heather, et autres
Publié: (2025)

Two-sample inference for sparse functional data
par: Zhang, Chi, et autres
Publié: (2023)

Posterior inference via Hill's prediction model
par: Bissiri, Pier Giovanni, et autres
Publié: (2026)

Skew-symmetric approximations of posterior distributions
par: Pozza, Francesco, et autres
Publié: (2024)

Doubly robust estimation with functional outcomes missing at random
par: Liu, Xijia, et autres
Publié: (2024)