Designing truncated priors for direct and inverse Bayesian problems
Fuente:
arXiv
Saved in:
| Main Authors: | Agapiou, Sergios, Mathé, Peter |
|---|---|
| Format: | Preprint |
| Published: |
2021
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Heavy-tailed Bayesian nonparametric adaptation
by: Agapiou, Sergios, et al.
Published: (2023)
by: Agapiou, Sergios, et al.
Published: (2023)
Adaptive inference over Besov spaces in the white noise model using $p$-exponential priors
by: Agapiou, Sergios, et al.
Published: (2022)
by: Agapiou, Sergios, et al.
Published: (2022)
Semiparametric Uncertainty Quantification via Isotonized Posterior for Deconvolutions
by: Gili, Francesco, et al.
Published: (2026)
by: Gili, Francesco, et al.
Published: (2026)
Strong maximum a posteriori estimation in Banach spaces with Gaussian priors
by: Lambley, Hefin
Published: (2023)
by: Lambley, Hefin
Published: (2023)
Minimaxity and Admissibility of Bayesian Neural Networks
by: Coulson, Daniel Andrew, et al.
Published: (2026)
by: Coulson, Daniel Andrew, et al.
Published: (2026)
Bayesian prediction regions and density estimation with type-2 censored data
by: Asgharzadeh, Akbar, et al.
Published: (2024)
by: Asgharzadeh, Akbar, et al.
Published: (2024)
Goodness-of-fit testing for nonlinear inverse problems with random observations
by: Kretschmann, Remo, et al.
Published: (2026)
by: Kretschmann, Remo, et al.
Published: (2026)
Linear methods for non-linear inverse problems
by: Koers, Geerten, et al.
Published: (2024)
by: Koers, Geerten, et al.
Published: (2024)
Bayesian taut splines for estimating the number of modes
by: Chacón, José E., et al.
Published: (2023)
by: Chacón, José E., et al.
Published: (2023)
Direct Estimation of Schrödinger Bridge Time-Series Drifts: Finite-Sample, Asymptotic, and Adaptive Guarantees
by: Mazhar, Othmane, et al.
Published: (2026)
by: Mazhar, Othmane, et al.
Published: (2026)
Optimal low-rank posterior covariance approximation in linear Gaussian inverse problems on Hilbert spaces
by: Carere, Giuseppe, et al.
Published: (2024)
by: Carere, Giuseppe, et al.
Published: (2024)
Estimation of differential entropy for normal populations under prior information
by: Mandal, Somnath, et al.
Published: (2026)
by: Mandal, Somnath, et al.
Published: (2026)
Upper and lower bounds for local Lipschitz stability of Bayesian posteriors
by: Cvetković, Nada, et al.
Published: (2025)
by: Cvetković, Nada, et al.
Published: (2025)
A Bayesian approach to inverse problems in spaces of measures
by: Huynh, Phuoc-Truong
Published: (2025)
by: Huynh, Phuoc-Truong
Published: (2025)
Asymptotically efficient estimation under local constraint in Wicksell's problem
by: Gili, Francesco, et al.
Published: (2024)
by: Gili, Francesco, et al.
Published: (2024)
Bayesian joint quantile autoregression
by: Castillo-Mateo, Jorge, et al.
Published: (2023)
by: Castillo-Mateo, Jorge, et al.
Published: (2023)
Semiparametric Bernstein-von Mises Phenomenon via Isotonized Posterior in Wicksell's problem
by: Gili, Francesco, et al.
Published: (2025)
by: Gili, Francesco, et al.
Published: (2025)
Dirichlet kernel density estimation for strongly mixing sequences on the simplex
by: Daayeb, Hanen, et al.
Published: (2025)
by: Daayeb, Hanen, et al.
Published: (2025)
Normal approximations for the multivariate inverse Gaussian distribution and asymmetric kernel smoothing on $d$-dimensional half-spaces
by: Belzile, Léo R., et al.
Published: (2022)
by: Belzile, Léo R., et al.
Published: (2022)
On micromodes in Bayesian posterior distributions and their implications for MCMC
by: Agrawal, Sanket, et al.
Published: (2026)
by: Agrawal, Sanket, et al.
Published: (2026)
Exclusivity Classes and Partitions of Loss Functions
by: Halkiewicz, Stanisław M. S.
Published: (2025)
by: Halkiewicz, Stanisław M. S.
Published: (2025)
Optimal low-rank approximations for linear Gaussian inverse problems on Hilbert spaces, Part I: posterior covariance approximation
by: Carere, Giuseppe, et al.
Published: (2025)
by: Carere, Giuseppe, et al.
Published: (2025)
A two-sample test for symmetric positive definite matrix distributions using Wishart kernel density estimators
by: Ouimet, Frédéric
Published: (2026)
by: Ouimet, Frédéric
Published: (2026)
Shrinkage priors for circulant correlation structure models
by: Okudo, Michiko, et al.
Published: (2025)
by: Okudo, Michiko, et al.
Published: (2025)
Testing for practically significant dependencies in high dimensions via bootstrapping maxima of U-statistics
by: Bastian, Patrick, et al.
Published: (2022)
by: Bastian, Patrick, et al.
Published: (2022)
Asymptotic considerations in a Bayesian linear model with nonparametrically modelled time series innovations
by: Kirch, Claudia, et al.
Published: (2024)
by: Kirch, Claudia, et al.
Published: (2024)
Generalized Bayes in Conditional Moment Restriction Models
by: Kankanala, Sid
Published: (2025)
by: Kankanala, Sid
Published: (2025)
A Novel Multiple Imputation Approach For Parameter Estimation in Observation-Driven Time Series Models With Missing Data
by: Pumi, Guilherme, et al.
Published: (2026)
by: Pumi, Guilherme, et al.
Published: (2026)
A Matsuoka-Based GARMA Model for Hydrological Forecasting: Theory, Estimation, and Applications
by: Pumi, Guilherme, et al.
Published: (2025)
by: Pumi, Guilherme, et al.
Published: (2025)
Unit-Weibull Autoregressive Moving Average Models
by: Pumi, Guilherme, et al.
Published: (2022)
by: Pumi, Guilherme, et al.
Published: (2022)
Bayes linear estimator in the general linear model
by: Mukasa, Hirai
Published: (2025)
by: Mukasa, Hirai
Published: (2025)
Adaptive Bayes estimator for stochastic differential equations with jumps under small noise asymptotics
by: Suzuki, Shuntaro, et al.
Published: (2024)
by: Suzuki, Shuntaro, et al.
Published: (2024)
How should we aggregate ratings? Accounting for personal rating scales via Wasserstein barycenters
by: Raban, Daniel
Published: (2024)
by: Raban, Daniel
Published: (2024)
Principal Curves In Metric Spaces And The Space Of Probability Measures
by: Warren, Andrew, et al.
Published: (2025)
by: Warren, Andrew, et al.
Published: (2025)
Lower bounds for the trade-off between bias and mean absolute deviation
by: Derumigny, Alexis, et al.
Published: (2023)
by: Derumigny, Alexis, et al.
Published: (2023)
Convergence Rates for Latent Mixing Measures in Infinite Homoscedastic Location-Scale Mixture Models
by: Bariletto, Nicola, et al.
Published: (2026)
by: Bariletto, Nicola, et al.
Published: (2026)
Posterior contraction under misspecification and heteroscedasticity in non-linear inverse problems
by: Seizilles, Fanny, et al.
Published: (2026)
by: Seizilles, Fanny, et al.
Published: (2026)
From robust tests to Bayes-like posterior distributions
by: Baraud, Yannick
Published: (2021)
by: Baraud, Yannick
Published: (2021)
Statistical Inference via T-Posterior Randomised Estimators
by: Baraud, Yannick
Published: (2026)
by: Baraud, Yannick
Published: (2026)
Statistical inference for rough volatility: Central limit theorems
by: Chong, Carsten, et al.
Published: (2022)
by: Chong, Carsten, et al.
Published: (2022)
Similar Items
-
Heavy-tailed Bayesian nonparametric adaptation
by: Agapiou, Sergios, et al.
Published: (2023) -
Adaptive inference over Besov spaces in the white noise model using $p$-exponential priors
by: Agapiou, Sergios, et al.
Published: (2022) -
Semiparametric Uncertainty Quantification via Isotonized Posterior for Deconvolutions
by: Gili, Francesco, et al.
Published: (2026) -
Strong maximum a posteriori estimation in Banach spaces with Gaussian priors
by: Lambley, Hefin
Published: (2023) -
Minimaxity and Admissibility of Bayesian Neural Networks
by: Coulson, Daniel Andrew, et al.
Published: (2026)