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portada Evaluating the Performance of Different Priors: Bayesian Dynamic Mixed Logistic Regression Models
Type
Physical Book
Publisher
Author
Language
English
Pages
96
Format
Paperback
ISBN13
9786630397772

Evaluating the Performance of Different Priors: Bayesian Dynamic Mixed Logistic Regression Models

Chinenye Amalahu, Christian (Author) · GlobeEdit · Paperback

Evaluating the Performance of Different Priors: Bayesian Dynamic Mixed Logistic Regression Models - Chinenye Amalahu, Christian

New Book Imported to South Africa
Delivery: 04 Dec - 10 Dec Shipping: 14 to 15 business days.
R 1,284
R 1,284

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Synopsis "Evaluating the Performance of Different Priors: Bayesian Dynamic Mixed Logistic Regression Models"

This book examines how different prior distributions influence the performance and reliability of Bayesian Dynamic Mixed Logistic Regression models. It explores the challenges of small sample sizes, parameter instability, individual heterogeneity, and changing preferences over time.With a focus on transportation mode choice, the study demonstrates how Bayesian methods can improve estimation by incorporating prior information and capturing both individual differences and temporal dynamics. The book offers useful insights for researchers, statisticians, economists, and graduate students working with Bayesian modeling and discrete choice analysis.

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