Cover Image

Bayes Risk for Goodness of Fit Tests

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Polson, Nicholas G., Sokolov, Vadim, Zantedeschi, Daniel
Format:	Preprint
Published:	2026
Subjects:	Statistics Theory
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Bayes, E-values and Testing
by: Polson, Nicholas G., et al.
Published: (2026)

A New Look at Bayesian Testing
by: Datta, Jyotishka, et al.
Published: (2026)

Horseshoe Priors and MDP
by: Polson, Nick, et al.
Published: (2026)

De Finetti + Sanov = Bayes
by: Polson, Nicholas G., et al.
Published: (2025)

E-Values, Bayes Risk, Dual Role of Markov's Inequality
by: Polson, Nicholas G., et al.
Published: (2026)

Conformal Prediction = Bayes?
by: Datta, Jyotishka, et al.
Published: (2025)

Bayesian Prediction under Moment Conditioning
by: Polson, Nicholas G., et al.
Published: (2025)

Negative Probability
by: Polson, Nick, et al.
Published: (2024)

Bayes with No Shame: Admissibility Geometries of Predictive Inference
by: Polson, Nicholas G., et al.
Published: (2026)

Entropy-Regularized Inference: A Predictive Approach
by: Polson, Nicholas G., et al.
Published: (2025)

Bayesian Global-Local Regularization
by: Datta, Jyotishka, et al.
Published: (2025)

An Old Look at Empirical Bayes
by: Polson, Nicholas G., et al.
Published: (2026)

Martingale Posterior Predictive Coherence: Hausdorff Moment Hierarchy
by: Polson, Nicholas G., et al.
Published: (2026)

Optimal-Transport Based Multivariate Goodness-of-Fit Tests
by: Hlávka, Zdeněk, et al.
Published: (2025)

Bell's Inequality, Causal Bounds, and Quantum Bayesian Computation: A Unified Framework
by: Polson, Nick, et al.
Published: (2026)

On the Robustness of Kernel Goodness-of-Fit Tests
by: Liu, Xing, et al.
Published: (2024)

Polynomial Log-Marginals and Tweedie's Formula : When Is Bayes Possible?
by: Datta, Jyotishka, et al.
Published: (2025)

Integral-Operator-Based Spectral Algorithms for Goodness-of-Fit Tests
by: Sang, Shiwei, et al.
Published: (2025)

Merging two cultures: Deep and statistical learning
by: Anindya Bhadra, et al.
Published: (2024)

Kakeya Conjecture and Conditional Kolmogorov Complexity
by: Polson, Nicholas G., et al.
Published: (2026)

A Goodness-of-Fit Test for Independent Component Models in High Dimensions
by: Liu, Mingshuo, et al.
Published: (2026)

Non-Parametric Goodness-of-Fit Tests Using Tsallis Entropy Measures
by: Çadırcı, Mehmet Sıddık
Published: (2025)

Testing Goodness-of-Fit for Conditional Distributions: A New Perspective based on Principal Component Analysis
by: Rui, Cui, et al.
Published: (2024)

Network Goodness-of-Fit for the block-model family
by: Jin, Jiashun, et al.
Published: (2025)

Hardware-in-the-Loop Evaluation of Goodness of Fit (GoF) Testing for Dynamic Spectrum Sharing
by: Lodro, Mir, et al.
Published: (2025)

A Two-Step Projection-Based Goodness-of-Fit Test for Ultra-High Dimensional Sparse Regressions
by: Tan, Falong, et al.
Published: (2024)

Topology-Driven Goodness-of-Fit Tests in Arbitrary Dimensions
by: Dłotko, Paweł, et al.
Published: (2022)

Likelihood-based Spacings Goodness-of-Fit Statistics for Univariate Shape-constrained Densities
by: Chan, Kwun Chuen Gary, et al.
Published: (2022)

Some Goodness of Fit Tests based on Centre Outward Spacings
by: Singh, Rahul
Published: (2022)

Bounding Conditional Value-at-Risk via Auxiliary Distributions with Bounded Discrepancies
by: Pariente, Yaacov, et al.
Published: (2025)

Bayesian Methods for the Navier-Stokes Equations
by: Polson, Nicholas, et al.
Published: (2026)

Generative AI for Bayesian Computation
by: Polson, Nicholas G., et al.
Published: (2023)

Optimality of the Half-Order Exponent in the Turing-Good Identities for Bayes Factors
by: Okada, Kensuke
Published: (2026)

Accelerated Online Risk-Averse Policy Evaluation in POMDPs with Theoretical Guarantees and Novel CVaR Bounds
by: Pariente, Yaacov, et al.
Published: (2026)

Hypothesis Testing for Penalized Estimating Equations with Cross-Fitted Covariance Calibration
by: Zhou, Jing, et al.
Published: (2026)

High Order Expansion Method for Kuiper's $V_n$ Statistic in Goodness-of-fit Test
by: Zhang, Hong-Yan, et al.
Published: (2023)

Goodness‐of‐Fit Tests for Positive Quadrant Dependence
by: Chuan‐Fa Tang, et al.
Published: (2026)

Spectral Regularized Kernel Goodness-of-Fit Tests
by: Hagrass, Omar, et al.
Published: (2023)

A Fourier representation of kernel Stein discrepancy with application to Goodness-of-Fit tests for measures on infinite dimensional Hilbert spaces
by: Wynne, George, et al.
Published: (2022)

Fitting an Equation to Data Impartially
by: Tofallis, Chris
Published: (2024)