Cover Image

Relative belief inferences from decision theory

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Evans, Michael, Jang, Gun Ho
Format:	Preprint
Published:	2024
Subjects:	Statistics Theory
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Statistical inference with belief functions: A survey
by: Cuzzolin, Fabio
Published: (2026)

Rigidity theory in statistical inference
by: Bernstein, Daniel Irving
Published: (2026)

Covariate balance under Bayesian decision theory
by: Fumis, André A. F., et al.
Published: (2025)

Decision theory via model-free generalized fiducial inference
by: Williams, Jonathan P, et al.
Published: (2024)

The Concept of Statistical Evidence: Historical Roots and Current Developments
by: Evans, Michael
Published: (2024)

Embedding Network Autoregression for time series analysis and causal peer effect inference
by: Chang, Jae Ho, et al.
Published: (2024)

Asymptotic inference in a stationary quantum time series
by: Nussbaum, Michael, et al.
Published: (2025)

Derivation of the AMP equations from belief propagation for the $\ell_2$ minimisation problem
by: Genovese, Giuseppe, et al.
Published: (2026)

How to Measure Evidence and Its Strength: Bayes Factors or Relative Belief Ratios?
by: Al-Labadi, Luai, et al.
Published: (2023)

Statistical inference for rough volatility: Minimax Theory
by: Chong, Carsten, et al.
Published: (2022)

Asymptotics for conformal inference
by: Gazin, Ulysse
Published: (2024)

Support and distribution inference from noisy data
by: Capitao-Miniconi, Jérémie, et al.
Published: (2023)

Sampling models for selective inference
by: Rasines, Daniel Garcia, et al.
Published: (2025)

No need for an oracle: the nonparametric maximum likelihood decision in the compound decision problem is minimax
by: Ritov, Ya'acov
Published: (2023)

Statistical inference on kurtosis of elliptical distributions
by: Zhou, Bowen, et al.
Published: (2024)

On universal inference in Gaussian mixture models
by: Shi, Hongjian, et al.
Published: (2024)

Bayesian inference in high-dimensional models
by: Banerjee, Sayantan, et al.
Published: (2021)

Causal inference via implied interventions
by: Meixide, Carlos García, et al.
Published: (2025)

Uniform inference for kernel instrumental variable regression
by: Lob, Marvin, et al.
Published: (2025)

Robustified Gaussian quasi-likelihood inference for volatility
by: Eguchi, Shoichi, et al.
Published: (2025)

Possibility-theoretic statistical inference offers performance and probativeness assurances
by: Cella, Leonardo, et al.
Published: (2023)

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

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

Asymptotic inference for skewed stable Ornstein-Uhlenbeck process
by: Kawamo, Eitaro, et al.
Published: (2026)

Fundamentals of non-parametric statistical inference for integrated quantiles
by: Gribkova, Nadezhda, et al.
Published: (2025)

Nonparametric inference for spot volatility in pure-jump semimartingales
by: Yan, Chengxin, et al.
Published: (2026)

Statistical inference for multi-regime threshold Ornstein-Uhlenbeck processes
by: Han, Yuecai, et al.
Published: (2024)

On tail inference in iid settings with nonnegative extreme value index
by: Moriyama, Taku
Published: (2024)

Bayesian one- and two-sided inference on the local effective dimension
by: Belitser, Eduard
Published: (2024)

Integral Probability Metrics on submanifolds: interpolation inequalities and optimal inference
by: Stéphanovitch, Arthur
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)

New robust inference for predictive regressions
by: Ibragimov, Rustam, et al.
Published: (2020)

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

Differentiability and overlap concentration in optimal Bayesian inference
by: Chen, Hong-Bin, et al.
Published: (2025)

Fiducial inference then and now
by: Dawid, Philip
Published: (2020)