Name: Developments in Statistical Modelling
SKU: 64791161
Price: 209.68 EUR
Availability: InStock
Author: Emmanuel Ogundimu;Konstantinos Perrakis;Jochen Einbeck;Hyeyoung Maeng

portada Developments in Statistical Modelling

Type

Physical Book

Publisher

Springer International Publishing AG

Author

Emmanuel Ogundimu;Konstantinos Perrakis;Jochen Einbeck;Hyeyoung Maeng

Collection

Contributions to Statistics

Year

2025

Pages

270

Format

Paperback

Dimensions

23.5x15.5 cm

ISBN13

9783031657252

Developments in Statistical Modelling

Emmanuel Ogundimu;Konstantinos Perrakis;Jochen Einbeck;Hyeyoung Maeng (Author) · Springer International Publishing AG · Paperback

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Synopsis "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, including generalized linear models, mixture models, regularization techniques, hidden Markov models, smoothing methods, censoring and imputation techniques, Gaussian processes, spatial statistics, shape modelling, goodness-of-fit problems, and network analysis. Various highly topical applications are presented as well, especially from biostatistics. The approaches are equally frequentist and Bayesian, a categorization the statistical modelling community has synergetically overcome. The book also features the workshop’s keynote contribution on statistical modelling for big and little data, highlighting that both small and large data sets come with their own challenges. The International Workshop on Statistical Modelling (IWSM) is the annual workshop of the Statistical Modelling Society, with the purpose of promoting important developments, extensions, and applications in statistical modelling, and bringing together statisticians working on related problems from various disciplines. This volume reflects this spirit and contributes to initiating and sustaining discussions about problems in statistical modelling and triggers new developments and ideas in the field.