Image de couverture de livre

General Bayesian Predictive Synthesis

Fuente: arXiv

Enregistré dans:

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

Documents similaires

Bayesian Spatial Predictive Synthesis
par: Cabel, Danielle, et autres
Publié: (2022)

General Bayesian Policy Learning
par: Kato, Masahiro
Publié: (2026)

Conformal Prediction for Nonparametric Instrumental Regression
par: Kato, Masahiro
Publié: (2026)

Semi-Supervised Treatment Effect Estimation with Unlabeled Covariates for Prediction-Powered Causal Inference
par: Kato, Masahiro
Publié: (2025)

Generalized Neyman Allocation for Locally Minimax Optimal Best-Arm Identification
par: Kato, Masahiro
Publié: (2024)

genriesz: A Python Package for Automatic Debiased Machine Learning with Generalized Riesz Regression
par: Kato, Masahiro
Publié: (2026)

Triple/Debiased Lasso for Statistical Inference of Conditional Average Treatment Effects
par: Kato, Masahiro
Publié: (2024)

Debiased Nonparametric Regression for Statistical Inference and Distributionally Robustness
par: Kato, Masahiro
Publié: (2024)

A Note on Doubly Robust Estimator in Regression Discontinuity Designs
par: Kato, Masahiro
Publié: (2024)

Debiased Regression for Root-N-Consistent Conditional Mean Estimation
par: Kato, Masahiro
Publié: (2024)

Riesz Regression As Direct Density Ratio Estimation
par: Kato, Masahiro
Publié: (2025)

Nearest Neighbor Matching as Least Squares Density Ratio Estimation and Riesz Regression
par: Kato, Masahiro
Publié: (2025)

Covariate Balancing and Riesz Regression Should Be Guided by the Neyman Orthogonal Score in Debiased Machine Learning
par: Kato, Masahiro
Publié: (2026)

Direct Bias-Correction Term Estimation for Average Treatment Effect Estimation
par: Kato, Masahiro
Publié: (2025)

Minimax and Bayes Optimal Best-Arm Identification
par: Kato, Masahiro
Publié: (2025)

Locally Optimal Fixed-Budget Best Arm Identification in Two-Armed Gaussian Bandits with Unknown Variances
par: Kato, Masahiro
Publié: (2023)

Causal-Policy Forest for End-to-End Policy Learning
par: Kato, Masahiro
Publié: (2025)

Direct Debiased Machine Learning via Bregman Divergence Minimization
par: Kato, Masahiro
Publié: (2025)

A Unified Theory for Causal Inference: Direct Debiased Machine Learning via Bregman-Riesz Regression
par: Kato, Masahiro
Publié: (2025)

Minimax and Bayes Optimal Adaptive Experimental Design for Treatment Choice
par: Kato, Masahiro
Publié: (2025)

Bridging the Gap between Empirical Welfare Maximization and Conditional Average Treatment Effect Estimation in Policy Learning
par: Kato, Masahiro
Publié: (2025)

Worst-Case Optimal Multi-Armed Gaussian Best Arm Identification with a Fixed Budget
par: Kato, Masahiro
Publié: (2023)

ScoreMatchingRiesz: Score Matching for Debiased Machine Learning and Policy Path Estimation
par: Kato, Masahiro
Publié: (2025)

A Unified Framework for Debiased Machine Learning: Riesz Representer Fitting under Bregman Divergence
par: Kato, Masahiro
Publié: (2026)

Asymptotically Unbiased Synthetic Control Methods by Moment Matching
par: Kato, Masahiro, et autres
Publié: (2023)

Bayesian Parametric Methods for Deriving Distribution of Restricted Mean Survival Time
par: Hanada, Keisuke, et autres
Publié: (2024)

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

Generative Quantile Bayesian Prediction
par: Nareklishvili, Maria, et autres
Publié: (2025)

The Role of Contextual Information in Best Arm Identification
par: Kato, Masahiro, et autres
Publié: (2021)

Graphon-Level Bayesian Predictive Synthesis for Random Network
par: Papamichalis, Marios, et autres
Publié: (2025)

Double Debiased Covariate Shift Adaptation Robust to Density-Ratio Estimation
par: Kato, Masahiro, et autres
Publié: (2023)

Bayesian Modeling and Prediction of Generalized Contact Matrices
par: Dan, Shozen, et autres
Publié: (2026)

Weighted Particle-Based Optimization for Efficient Generalized Posterior Calibration
par: Tanaka, Masahiro
Publié: (2024)

Sequential Audit Sampling with Statistical Guarantees
par: Kato, Masahiro, et autres
Publié: (2026)

PUATE: Efficient Average Treatment Effect Estimation from Treated (Positive) and Unlabeled Units
par: Kato, Masahiro, et autres
Publié: (2025)

Active Adaptive Experimental Design for Treatment Effect Estimation with Covariate Choices
par: Kato, Masahiro, et autres
Publié: (2024)

Soil Texture Prediction with Bayesian Generalized Additive Models for Spatial Compositional Data
par: Martínez-Minaya, Joaquín, et autres
Publié: (2025)

Bayesian Conformal Prediction via the Bayesian Bootstrap
par: Gibson, Graham
Publié: (2025)

Calibrated Generalized Bayesian Inference
par: Frazier, David T., et autres
Publié: (2023)

On the Stability of General Bayesian Inference
par: Jewson, Jack, et autres
Publié: (2023)