Copertina

The differential structure shared by probability and moment matching priors on non-regular statistical models via the Lie derivative

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Yoshioka, Masaki, Tanaka, Fuyuhiko
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Statistics Theory Primary 62F15, Secondary 62B11
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

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

Two-Step Mixed-Type Multivariate Bayesian Sparse Variable Selection with Shrinkage Priors
di: Wang, Shao-Hsuan, et al.
Pubblicazione: (2022)

Semiparametric Copula Estimation for Spatially Correlated Multivariate Mixed Outcomes: Analyzing Visual Sightings of Fin Whales from a Line Transect Survey
di: Momozaki, Tomotaka, et al.
Pubblicazione: (2023)

Local asymptotics of selection models with applications in Bayesian selective inference
di: Rasines, Daniel G., et al.
Pubblicazione: (2023)

Eigenstructure inference for high-dimensional covariance with generalized shrinkage inverse-Wishart prior
di: Kim, Seongmin, et al.
Pubblicazione: (2025)

Flexible Bayesian Multiple Comparison Adjustment Using Dirichlet Process and Beta-Binomial Model Priors
di: Bergh, Don van den, et al.
Pubblicazione: (2022)

Choosing observation operators to mitigate model error in Bayesian inverse problems
di: Cvetković, Nada, et al.
Pubblicazione: (2023)

Directional testing for one-way MANOVA in divergent dimensions
di: Huang, Caizhu, et al.
Pubblicazione: (2024)

Continuous Time Locally Stationary Wavelet Processes
di: Palasciano, Henry Antonio, et al.
Pubblicazione: (2023)

Hypothesis testing and confidence sets: why Bayesian not frequentist, and how to set a prior with a regulatory authority
di: Sewell, Roger
Pubblicazione: (2021)

An Axiomatisation of Error Intolerant Estimation
di: Brand, Michael
Pubblicazione: (2024)

On the class of exponential statistical structures of type B
di: Volkov, Oleksandr, et al.
Pubblicazione: (2025)

Unifying and Generalizing Methods for Removing Unwanted Variation Based on Negative Controls
di: Gerard, David, et al.
Pubblicazione: (2017)

Kernel Stein Discrepancy on Lie Groups: Theory and Applications
di: Qu, Xiaoda, et al.
Pubblicazione: (2023)

Confidence and discoveries with e-values
di: Vovk, Vladimir, et al.
Pubblicazione: (2019)

Consistent Bayesian causal discovery for structural equation models with equal error variances
di: Chaudhuri, Anamitra, et al.
Pubblicazione: (2025)

Bayesian Effective Dimension: A Mutual Information Perspective
di: Banerjee, Sayantan
Pubblicazione: (2025)

Predictive Inference via Kernel Density Estimates
di: Hilbert, Torey
Pubblicazione: (2026)

Bernstein-von Mises Theorem for Sparse Generalized Linear Model
di: Li, Hanqing, et al.
Pubblicazione: (2026)

Consistency of M-estimators for non-identically distributed data: the case of fixed-design distributional regression
di: Bücher, Axel, et al.
Pubblicazione: (2025)

Assessment of the quality of a prediction
di: Sewell, Roger
Pubblicazione: (2024)

Likelihood inference of the non-stationary Hawkes process with non-exponential kernel
di: Kwan, Tsz-Kit Jeffrey, et al.
Pubblicazione: (2024)

Convergence Rates for Realizations of Gaussian Random Variables
di: Winkle, Daniel, et al.
Pubblicazione: (2025)

Variance component mixture modelling for longitudinal T-cell receptor clonal dynamics
di: Swanson, David, et al.
Pubblicazione: (2025)

Conditional validity and a fast approximation formula of full conformal prediction sets
di: Amann, Nicolai
Pubblicazione: (2025)

A new way to evaluate G-Wishart normalising constants via Fourier analysis
di: Wong, Ching, et al.
Pubblicazione: (2024)

Shrinkage priors for circulant correlation structure models
di: Okudo, Michiko, et al.
Pubblicazione: (2025)

A Principled Approach to Bayesian Transfer Learning
di: Bretherton, Adam, et al.
Pubblicazione: (2025)

Projection predictive variable selection for discrete response families with finite support
di: Weber, Frank, et al.
Pubblicazione: (2023)

Statistical Inference via T-Posterior Randomised Estimators
di: Baraud, Yannick
Pubblicazione: (2026)

Addressing parity blindness of data-driven Sobolev tests on the hypersphere
di: Reverbel, Marcio
Pubblicazione: (2026)

A Bayesian approach to functional regression: theory and computation
di: Berrendero, José R., et al.
Pubblicazione: (2023)

Sparse factor models of high dimension
di: Poignard, Benjamin, et al.
Pubblicazione: (2023)

A Bayesian cluster validity index
di: Wiroonsri, Nathakhun, et al.
Pubblicazione: (2024)

Sparse maximum likelihood estimation for regression models
di: Tsao, Min
Pubblicazione: (2024)

Improving Maximum Tolerated Dose Selection in Model-Assisted Designs for Phase I Trials through Bayesian Dose-Response Model
di: Wakayama, Rentaro, et al.
Pubblicazione: (2025)

Bayesian Optimization of Noisy Log-Likelihoods Evaluated by Particle Filters -- One Parameter Case --
di: Kitagawa, Genshiro
Pubblicazione: (2026)

Bayesian measures of leverage and influence
di: Plummer, Martyn
Pubblicazione: (2025)

Simultaneous Inference for Multiple Proportions: A Multivariate Beta-Binomial Model
di: Westphal, Max
Pubblicazione: (2019)

Consistent DAG selection for Bayesian causal discovery under general error distributions
di: Chaudhuri, Anamitra, et al.
Pubblicazione: (2025)