Buch, Englisch, 302 Seiten, Format (B × H): 152 mm x 229 mm, Gewicht: 480 g
Buch, Englisch, 302 Seiten, Format (B × H): 152 mm x 229 mm, Gewicht: 480 g
ISBN: 978-0-12-815862-3
Verlag: William Andrew Publishing
This book is particularly relevant to non-specialist practitioners with intermediate mathematical training seeking to apply Bayesian approaches in economics, biology, finance, engineering and medicine.
Zielgruppe
<p>Applied non-specialist practitioners with intermediate mathematical training seeking to apply advanced statistical analysis of probability distributions, typically based in econometrics, biology, and climate change. Graduate students and 1<SUP>st</SUP> year PhD students in these areas. </p>
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
1. Bayesian quantile regression with the asymmetric Laplace distribution
2. A vignette on model-based quantile regression: analysing excess zero response
3. Bayesian nonparametric density regression for ordinal responses
4. Bayesian nonparametric methods for financial and macroeconomic time series analysis
5. Bayesian mixed binary-continuous copula regression with an application to childhood undernutrition
6. Nonstandard flexible regression via variational Bayes
7. Scalable Bayesian variable selection regression models for count data
8. Bayesian spectral analysis regression
9. Flexible regression modelling under shape constraints