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Case Studies in Applied Bayesian Data Science

Overview of attention for book
Cover of 'Case Studies in Applied Bayesian Data Science'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction
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    Chapter 2 A Survey of Bayesian Statistical Approaches for Big Data
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    Chapter 3 Bayesian Neural Networks: An Introduction and Survey
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    Chapter 4 Markov Chain Monte Carlo Algorithms for Bayesian Computation, a Survey and Some Generalisation
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    Chapter 5 Bayesian Variable Selection
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    Chapter 6 Bayesian Computation with Intractable Likelihoods
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    Chapter 7 A Bayesian Hierarchical Approach to Jointly Model Cortical Thickness and Covariance Networks
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    Chapter 8 Bayesian Spike Sorting: Parametric and Nonparametric Multivariate Gaussian Mixture Models
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    Chapter 9 Spatio-Temporal Analysis of Dengue Fever in Makassar Indonesia: A Comparison of Models Based on CARBayes
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    Chapter 10 A Comparison of Bayesian Spatial Models for Cancer Incidence at a Small Area Level: Theory and Performance
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    Chapter 11 An Ensemble Approach to Modelling the Combined Effect of Risk Factors on Age at Parkinson’s Disease Onset
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    Chapter 12 Workplace Health and Workplace Wellness: Synergistic or Disconnected?
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    Chapter 13 Bayesian Modelling to Assist Inference on Health Outcomes in Occupational Health Surveillance
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    Chapter 14 Bayesian Networks for Understanding Human-Wildlife Conflict in Conservation
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    Chapter 15 Bayesian Learning of Biodiversity Models Using Repeated Observations
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    Chapter 16 Thresholds of Coral Cover That Support Coral Reef Biodiversity
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    Chapter 17 Application of Bayesian Mixture Models to Satellite Images and Estimating the Risk of Fire-Ant Incursion in the Identified Geographical Cluster
Overall attention for this book and its chapters
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Mentioned by

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Citations

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Title
Case Studies in Applied Bayesian Data Science
Published by
arXiv, July 2020
DOI 10.1007/978-3-030-42553-1
ISBNs
978-3-03-042552-4, 978-3-03-042553-1
Authors

Farzana Jahan, Insha Ullah, Kerrie L Mengersen

Editors

Mengersen, Kerrie L., Pudlo, Pierre, Robert, Christian P.

X Demographics

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The data shown below were collected from the profiles of 43 X users who shared this research output. Click here to find out more about how the information was compiled.
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 35. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 27 February 2024.
All research outputs
#1,144,607
of 25,374,647 outputs
Outputs from arXiv
#15,857
of 914,120 outputs
Outputs of similar age
#32,829
of 427,478 outputs
Outputs of similar age from arXiv
#465
of 24,963 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 914,120 research outputs from this source. They receive a mean Attention Score of 4.3. This one has done particularly well, scoring higher than 98% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 427,478 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 24,963 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 98% of its contemporaries.