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S. Cramb

5 papers hereh-index 264.6k citations136 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author5

Across the 5 of 5 papers where every author was matched, so the position is known.

fields
  • stat.AP3
  • cs.LG1
  • stat.ME1

identity via Semantic Scholar / OpenAlex

activity
20222026
most citedBeing Bayesian in the 2020s: opportunities and challenges in the practice of modern applied Bayesian statistics

18 citations · 26 across the 5 of their papers we have counts for

collaborators
Showing stat.APShow all

3 papers · 1 filter

stat.AP2024

Creating area level indices of behaviours impacting cancer in Australia with a Bayesian generalised shared component model

James Hogg, Susanna Cramb, Jessica Cameron +2

This study develops a model-based index creation approach called the Generalized Shared Component Model (GSCM) by drawing on the large field of factor models. The proposed fully Ba…

stat.AP2023★ 8 cited

Mapping the prevalence of cancer risk factors at the small area level in Australia

James Hogg, Jessica Cameron, Susanna Cramb +2

Cancer is a significant health issue globally and it is well known that cancer risk varies geographically. However in many countries there are no small area level data on cancer ri…

stat.AP2022★ 18 cited

Being Bayesian in the 2020s: opportunities and challenges in the practice of modern applied Bayesian statistics

Joshua J. Bon, Adam Bretherton, Katie Buchhorn +12

Building on a strong foundation of philosophy, theory, methods and computation over the past three decades, Bayesian approaches are now an integral part of the toolkit for most sta…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.