Distributional regression models -- Distributions -- Additive model terms -- Inferential methods -- Penalized maximum likelihood inference -- Bayesian inference -- Statistical boosting for GAMLSS -- Fetal ultrasound -- Speech intelligibility testing -- Social media post performance -- Childhood undernutrition in India -- Socioeconomic determinants of federal election outcomes in Germany -- Variable selection for gene expression data.
Summary:
"This text provides a state-of-the-art treatment of distributional regression, accompanied by real-world examples from diverse areas of application. Maximum likelihood, Bayesian and machine learning approaches are covered in-depth and contrasted, providing an integrated perspective on GAMLSS for researchers in statistics and other data-rich fields"-- Provided by publisher.
Series:
Cambridge series in statistical and probabilistic mathematics 56
This resource is supported by the Institute of Museum and Library Services under the provisions of the Library Services and Technology Act as administered by State Library of Iowa.