Imagen de Portada

Weighted Particle-Based Optimization for Efficient Generalized Posterior Calibration

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autor principal:	Tanaka, Masahiro
Formato:	Preprint
Publicado:	2024
Materias:	Methodology Computation
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Posterior SBC: Simulation-Based Calibration Checking Conditional on Data
por: Säilynoja, Teemu, et al.
Publicado: (2025)

Location--Scale Calibration for Generalized Posterior
por: Tamano, Shu, et al.
Publicado: (2025)

Generalized Posterior Calibration via Sequential Monte Carlo Sampler
por: Tanaka, Masahiro
Publicado: (2024)

An Optimal Transport-Based Generative Model for Bayesian Posterior Sampling
por: Li, Ke, et al.
Publicado: (2025)

Quasi-Bayesian Local Projection Instrumental-Variables Method: Application to Renewable Energy and Electricity Prices
por: Tanaka, Masahiro
Publicado: (2026)

Estimating Bidirectional Causal Effects with Large Scale Online Kernel Learning
por: Tanaka, Masahiro
Publicado: (2025)

Efficient Bayes Factor Sensitivity Analysis via Posterior Density Ratios
por: Bartoš, František, et al.
Publicado: (2026)

A General Approach for Calibration Weighting under Missing at Random
por: Kwon, Yonghyun, et al.
Publicado: (2025)

Optimization of Survey Weights under a Large Number of Conflicting Constraints
por: Williams, Matthew R., et al.
Publicado: (2019)

Sequential Monte Carlo for Cut-Bayesian Posterior Computation
por: Mathews, Joseph, et al.
Publicado: (2024)

Extrapolation of Tempered Posteriors
por: Xi, Mengxin, et al.
Publicado: (2025)

Enhancing Approximate Modular Bayesian Inference by Emulating the Conditional Posterior
por: Hutchings, Grant, et al.
Publicado: (2024)

Calibrate, Don't Curate: Label-Efficient Estimation from Noisy LLM Judges
por: Li, Yanran
Publicado: (2026)

Bridged Posterior: Optimization, Profile Likelihood and a New Approach to Generalized Bayes
por: Zeng, Cheng, et al.
Publicado: (2024)

Safe, Scalable, and Accurate Bayes Posterior Sampling for Large-Data Generalized Linear Mixed Models
por: Baek, Youngsoo, et al.
Publicado: (2026)

Posterior Mode Guided Dimension Reduction for Bayesian Model Averaging in Heavy-Tailed Linear Regression
por: De, Shamriddha, et al.
Publicado: (2026)

Economical Experimental Design with Generalized Posteriors
por: Hagar, Luke, et al.
Publicado: (2026)

Robust Standard Errors for Bayesian Posterior Functionals via the Infinitesimal Jackknife
por: Luo, Nanyu, et al.
Publicado: (2026)

General Bayesian Predictive Synthesis
por: Kato, Masahiro
Publicado: (2024)

Calibration procedures for approximate Bayesian credible sets
por: Lee, Jeong Eun, et al.
Publicado: (2018)

Posterior Uncertainty for Targeted Parameters in Bayesian Bootstrap Procedures
por: Sabbagh, Magid, et al.
Publicado: (2026)

Preconditioned Robust Neural Posterior Estimation for Misspecified Simulators
por: Kelly, Ryan P., et al.
Publicado: (2026)

Posterior risk of modular and semi-modular Bayesian inference
por: Frazier, David T., et al.
Publicado: (2023)

Finite Sample Valid Inference via Calibrated Bootstrap
por: Jiang, Yiran, et al.
Publicado: (2024)

Shrinkage-Constrained Functional Calibration for Complex Computer Models
por: Myhill, Liam, et al.
Publicado: (2026)

Rejection Sampling with Vertical Weighted Strips
por: Raim, Andrew M., et al.
Publicado: (2024)

An Order of Magnitude Time Complexity Reduction for Gaussian Graphical Model Posterior Sampling Using a Reverse Telescoping Block Decomposition
por: Gao, Zejin, et al.
Publicado: (2025)

A Calibrated Sensitivity Analysis for Weighted Causal Decompositions
por: Shen, Andy A., et al.
Publicado: (2024)

Robust Principal Components by Casewise and Cellwise Weighting
por: Centofanti, Fabio, et al.
Publicado: (2024)

Covariate Connectivity Combined Clustering for Weighted Networks
por: Hu, Zeyu, et al.
Publicado: (2025)

FunctionalCalibration: an R package for estimation in aggregated functional data model
por: Sousa, Alex Rodrigo dos Santos, et al.
Publicado: (2026)

Group Sequential Design with Posterior and Posterior Predictive Probabilities
por: Hagar, Luke, et al.
Publicado: (2025)

Robust Bayesian Optimization via Tempered Posteriors
por: Li, Jiguang, et al.
Publicado: (2026)

A Bayesian Dynamic Latent Space Model for Weighted Networks
por: Casarin, Roberto, et al.
Publicado: (2026)

Enhancing Sample Quality through Minimum Energy Importance Weights
por: Huang, Chaofan, et al.
Publicado: (2023)

Parameter Estimation of State Space Models Using Particle Importance Sampling
por: Gao, Yuxiong, et al.
Publicado: (2025)

Simulation Model Calibration with Dynamic Stratification and Adaptive Sampling
por: Jain, Pranav, et al.
Publicado: (2024)

Exact Posterior Mean and Covariance for Generalized Linear Mixed Models
por: Zhang, Tonglin
Publicado: (2024)

Stabilized Inverse Probability Weighting via Isotonic Calibration
por: van der Laan, Lars, et al.
Publicado: (2024)

A Finite-Calibration Regime Map for LLM Judge Panels
por: Zhu, Bin, et al.
Publicado: (2026)