Case Studies in Applied Bayesian Data Science

CIRM Jean-Morlet Chair, Fall 2018

Häftad, Engelska, 2020

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

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Presenting a range of substantive applied problems within Bayesian Statistics along with their Bayesian solutions, this book arises from a research program at CIRM in France in the second semester of 2018, which supported Kerrie Mengersen as a visiting Jean-Morlet Chair and Pierre Pudlo as the local Research Professor.

Produktinformation

Utgivningsdatum2020-05-29
Mått155 x 235 x undefined mm
FormatHäftad
SpråkEngelska
SerieLecture Notes in Mathematics
Antal sidor420
FörlagSpringer Nature Switzerland AG
ISBN9783030425524

Tillhör följande kategorier

- Part I Surveys. - Introduction. - A Survey of Bayesian Statistical Approaches for Big Data. - Bayesian Neural Networks: An Introduction and Survey. - Markov Chain Monte Carlo Algorithms for Bayesian Computation, a Survey and Some Generalisation. - Bayesian Variable Selection. - Bayesian Computation with Intractable Likelihoods. - Part II Real World Case Studies in Health. - A Bayesian Hierarchical Approach to Jointly Model Cortical Thickness and Covariance Networks. - Bayesian Spike Sorting: Parametric and Nonparametric Multivariate Gaussian MixtureModels. - Spatio-Temporal Analysis of Dengue Fever in Makassar Indonesia: A Comparison of Models Based on CARBayes. - A Comparison of Bayesian Spatial Models for Cancer Incidence at a Small Area Level: Theory and Performance. - An Ensemble Approach to Modelling the Combined Effect of Risk Factors on Age at Parkinson’s Disease Onset. - Workplace Health and Workplace Wellness: Synergistic or Disconnected?. - Bayesian Modelling to Assist Inference on Health Outcomes in Occupational Health Surveillance. Part III Real World Case Studies in Ecology. - Bayesian Networks for Understanding Human-Wildlife Conflict in Conservation. - Bayesian Learning of Biodiversity Models Using Repeated Observations. - Thresholds of Coral Cover That Support Coral Reef Biodiversity. - Application of Bayesian Mixture Models to Satellite Images and Estimating the Risk of Fire-Ant Incursion in the Identified Geographical Cluster.