Sparse Probabilistic Richardson Extrapolation
Fuente:
arXiv
Saved in:
| Main Authors: | Oates, Chris. J., Howey, Richard, Karvonen, Toni |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Probabilistic Richardson Extrapolation
by: Oates, Chris. J., et al.
Published: (2024)
by: Oates, Chris. J., et al.
Published: (2024)
Extrapolation of Tempered Posteriors
by: Xi, Mengxin, et al.
Published: (2025)
by: Xi, Mengxin, et al.
Published: (2025)
Probabilistic Inference and Learning with Stein's Method
by: Liu, Qiang, et al.
Published: (2026)
by: Liu, Qiang, et al.
Published: (2026)
Scalable Monte Carlo for Bayesian Learning
by: Fearnhead, Paul, et al.
Published: (2024)
by: Fearnhead, Paul, et al.
Published: (2024)
Detecting Model Misspecification in Bayesian Inverse Problems via Variational Gradient Descent
by: Liu, Qingyang, et al.
Published: (2025)
by: Liu, Qingyang, et al.
Published: (2025)
Online Semiparametric Regression via Sequential Monte Carlo
by: Menictas, Marianne, et al.
Published: (2023)
by: Menictas, Marianne, et al.
Published: (2023)
Prediction-Centric Uncertainty Quantification via MMD
by: Shen, Zheyang, et al.
Published: (2024)
by: Shen, Zheyang, et al.
Published: (2024)
Extrapolation of Relative Treatment Effects using Change-point Survival Models
by: Cooney, Philip, et al.
Published: (2023)
by: Cooney, Philip, et al.
Published: (2023)
Sparse Bayesian multidimensional scaling(s)
by: Sheth, Ami, et al.
Published: (2024)
by: Sheth, Ami, et al.
Published: (2024)
Pochhammer Priors for Sparse Count Models
by: Wang, Yuexi, et al.
Published: (2024)
by: Wang, Yuexi, et al.
Published: (2024)
Variational Inference for Sparse Poisson Regression
by: Kharabati, Mitra, et al.
Published: (2023)
by: Kharabati, Mitra, et al.
Published: (2023)
spar: Sparse Projected Averaged Regression in R
by: Parzer, Roman, et al.
Published: (2024)
by: Parzer, Roman, et al.
Published: (2024)
Extrapolating into the Extremes with Minimum Distance Estimation
by: Boulin, Alexis, et al.
Published: (2025)
by: Boulin, Alexis, et al.
Published: (2025)
Spectral Collapsed Gibbs Sampler for Bayesian Sparse Regression
by: Chin, Andrew, et al.
Published: (2026)
by: Chin, Andrew, et al.
Published: (2026)
Probabilistic Clustering using Shared Latent Variable Model for Assessing Alzheimers Disease Biomarkers
by: Xu, Yizhen, et al.
Published: (2024)
by: Xu, Yizhen, et al.
Published: (2024)
Estimation of Functional Principal Components from Sparse Functional Data
by: Mbaka, Uche, et al.
Published: (2026)
by: Mbaka, Uche, et al.
Published: (2026)
Differential Equation-Constrained Local Regression for Data with Sparse Design
by: Ge, Chunlei, et al.
Published: (2025)
by: Ge, Chunlei, et al.
Published: (2025)
Entropy Adjusted Graphical Lasso for Sparse Precision Matrix Estimation
by: Avagyan, Vahe
Published: (2025)
by: Avagyan, Vahe
Published: (2025)
Graph-based Square-Root Estimation for Sparse Linear Regression
by: Li, Peili, et al.
Published: (2024)
by: Li, Peili, et al.
Published: (2024)
Estimation of Multivariate Functional Principal Components from Sparse Functional Data
by: Mbaka, Uche, et al.
Published: (2026)
by: Mbaka, Uche, et al.
Published: (2026)
Sparse Bayesian joint modal estimation for exploratory item factor analysis
by: Hijikata, Keiichiro, et al.
Published: (2024)
by: Hijikata, Keiichiro, et al.
Published: (2024)
Probabilistic size-and-shape functional mixed models
by: Wang, Fangyi, et al.
Published: (2024)
by: Wang, Fangyi, et al.
Published: (2024)
BLOC: A Global Optimization Framework for Sparse Covariance Estimation with Non-Convex Penalties
by: Das, Priyam, et al.
Published: (2026)
by: Das, Priyam, et al.
Published: (2026)
Bind Recovery of Sparse Factor Structures by Signal Cancellation
by: Achim, André
Published: (2024)
by: Achim, André
Published: (2024)
sfislands: An R Package for Accommodating Islands and Disjoint Zones in Areal Spatial Modelling
by: Horan, Kevin, et al.
Published: (2024)
by: Horan, Kevin, et al.
Published: (2024)
Stable Survival Extrapolation via Transfer Learning
by: Apsemidis, Anastasios, et al.
Published: (2024)
by: Apsemidis, Anastasios, et al.
Published: (2024)
Extrapolation in Regression Discontinuity Design Using Comonotonicity
by: Deaner, Ben, et al.
Published: (2025)
by: Deaner, Ben, et al.
Published: (2025)
Probabilistic Predictions of Option Prices with Modular Approximate Bayesian Inference
by: Maneesoonthorn, Worapree, et al.
Published: (2024)
by: Maneesoonthorn, Worapree, et al.
Published: (2024)
Improving Probabilistic Models in Text Classification via Active Learning
by: Bosley, Mitchell, et al.
Published: (2022)
by: Bosley, Mitchell, et al.
Published: (2022)
Nested ensemble Kalman filter for static parameter inference in nonlinear state-space models
by: Golightly, Andrew, et al.
Published: (2025)
by: Golightly, Andrew, et al.
Published: (2025)
Probabilistic Inversion Modeling of Gas Emissions: A Gradient-Based MCMC Estimation of Gaussian Plume Parameters
by: Newman, Thomas, et al.
Published: (2024)
by: Newman, Thomas, et al.
Published: (2024)
Proximal Projection for Doubly Sparse Regularized Models
by: He, Jia Wei, et al.
Published: (2026)
by: He, Jia Wei, et al.
Published: (2026)
Regularizing Extrapolation in Causal Inference
by: Arbour, David, et al.
Published: (2025)
by: Arbour, David, et al.
Published: (2025)
Scalable couplings for the random walk Metropolis algorithm
by: Papp, Tamás P., et al.
Published: (2022)
by: Papp, Tamás P., et al.
Published: (2022)
Ensemble Kalman inversion approximate Bayesian computation
by: Everitt, Richard G
Published: (2024)
by: Everitt, Richard G
Published: (2024)
Mean-field Variational Bayes for Sparse Probit Regression
by: Fasano, Augusto, et al.
Published: (2026)
by: Fasano, Augusto, et al.
Published: (2026)
Engression: Extrapolation through the Lens of Distributional Regression
by: Shen, Xinwei, et al.
Published: (2023)
by: Shen, Xinwei, et al.
Published: (2023)
Extreme Treatment Effect: Extrapolating Dose-Response Function Into Extreme Treatment Domain
by: Bodik, Juraj
Published: (2024)
by: Bodik, Juraj
Published: (2024)
Sparse group principal component analysis via double thresholding with application to multi-cellular programs
by: Xu, Qi, et al.
Published: (2026)
by: Xu, Qi, et al.
Published: (2026)
Sparse covariate-driven factorization of high-dimensional brain connectivity with application to site effect correction
by: Zhang, Rongqian, et al.
Published: (2026)
by: Zhang, Rongqian, et al.
Published: (2026)
Similar Items
-
Probabilistic Richardson Extrapolation
by: Oates, Chris. J., et al.
Published: (2024) -
Extrapolation of Tempered Posteriors
by: Xi, Mengxin, et al.
Published: (2025) -
Probabilistic Inference and Learning with Stein's Method
by: Liu, Qiang, et al.
Published: (2026) -
Scalable Monte Carlo for Bayesian Learning
by: Fearnhead, Paul, et al.
Published: (2024) -
Detecting Model Misspecification in Bayesian Inverse Problems via Variational Gradient Descent
by: Liu, Qingyang, et al.
Published: (2025)