Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales

Terms and Conditions

Twitter GitHub LinkedIn Bluesky Youtube

© 2026 ResearchTrend.AI, All rights reserved.

Home
Papers
2009.13636
Cited By

A General Bayesian Model for Heteroskedastic Data with Fully Conjugate
Full-Conditional Distributions

A General Bayesian Model for Heteroskedastic Data with Fully Conjugate Full-Conditional Distributions

28 September 2020

ArXiv (abs)PDF HTML

Papers citing "A General Bayesian Model for Heteroskedastic Data with Fully Conjugate Full-Conditional Distributions"

3 / 3 papers shown

Quantifying predictive uncertainty of aphasia severity in stroke
patients with sparse heteroscedastic Bayesian high-dimensional regression

Quantifying predictive uncertainty of aphasia severity in stroke patients with sparse heteroscedastic Bayesian high-dimensional regression

Alexander C. McLain

595

0

0

15 Sep 2023

Statistical Deep Learning for Spatial and Spatio-Temporal Data

Statistical Deep Learning for Spatial and Spatio-Temporal DataAnnual Review of Statistics and Its Application (ARSIA), 2022

A. Zammit‐Mangion

350

68

0

05 Jun 2022

Generating Independent Replicates Directly from the Posterior
Distribution for a Class of Spatial Latent Gaussian Process Models

Generating Independent Replicates Directly from the Posterior Distribution for a Class of Spatial Latent Gaussian Process Models

426

0

0

18 Mar 2022

Page 1 of 1