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Developments in Statistical Modelling

This volume on the latest developments in statistical modelling is a collection of refereed papers presented at the 38th International Workshop on Statistical Modelling, IWSM 2024, held from 14 to 19 July 2024 in Durham, UK. The contributions cover a wide range of topics in statistical modelling, in...

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Bibliographic Details
Other Authors: Einbeck, Jochen (Editor), Maeng, Hyeyoung (Editor), Ogundimu, Emmanuel (Editor), Perrakis, Konstantinos (Editor)
Format: eBook
Language:English
Published: Cham Springer Nature Switzerland 2024, 2024
Edition:1st ed. 2024
Series:Contributions to Statistics
Subjects:
Machine Learning
Biostatistics
Linear Models And Regression
Regression Analysis
Biometry
Statistics 
Bayesian Inference
Statistical Learning
Statistics
Statistical Theory And Methods
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Table of Contents:
  • REML for two dimensional P splines
  • Learning Bayesian networks from ordinal data The Bayesian way
  • Latent Dirichlet allocation and hidden Markov models to identify public perception of sustainability in social media data
  • Bayesian approaches to model overdispersion in Spatio temporal binomial data
  • Elicitation of priors for intervention effects in educational trial data
  • Elicitation of priors for intervention effects in educational trial data
  • Optimism correction of the AUC with complex survey data
  • Statistical models for patient centered outcomes in clinical studies
  • Bayesian hidden Markov models for early warning
  • A Bayesian Markov-switching for smooth modelling of extreme value distributions

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