activity
20202026
most citedA Survey of Bayesian Statistical Approaches for Big Data

26 citations · 31 across the 16 of their papers we have counts for

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5 papers · 1 filter

stat.ME2026

A Sparse-Group Pliable Lasso

Mohammad Javad Davoudabadi, Minh Long Nguyen, Amirhossein Ghatari +2

The sparse-group pliable Lasso (SGPL) extends the pliable Lasso and group pliable Lasso by combining sparse-group regularization with a predictor-level coupling penalty, enabling s…

stat.ME2025

A Principled Approach to Bayesian Transfer Learning

Adam Bretherton, Joshua J. Bon, David J. Warne +2

Updating information given some observed data is the core tenet of Bayesian inference. Bayesian transfer learning extends this idea by incorporating information…

stat.ME2024★ 3 cited

Creating a Spatial Vulnerability Index for Environmental Health

Aiden Price, Kerrie Mengersen, Michael Rigby +1

Extreme natural hazards are increasing in frequency and intensity. These natural changes in our environment, combined with man-made pollution, have substantial economic, social and…

stat.ME2023

Bayesian Cluster Geographically Weighted Regression for Spatial Heterogeneous Data

Wala Draidi Areed, Aiden Price, Helen Thompson +3

Spatial statistical models are commonly used in geographical scenarios to ensure spatial variation is captured effectively. However, spatial models and cluster algorithms can be co…

stat.ME2023

A Two-Stage Bayesian Small Area Estimation Approach for Proportions

James Hogg, Jessica Cameron, Susanna Cramb +2

With the rise in popularity of digital Atlases to communicate spatial variation, there is an increasing need for robust small-area estimates. However, current small-area estimation…