EconPapers    
Economics at your fingertips  
 

Recent Developments in Bayesian Econometrics and Their Applications

Edited by Stepan Mazur and Pär Österholm

in Springer Books from Springer

Date: 2025
ISBN: 978-3-032-00110-8
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Chapters in this book:

Introduction
Stepan Mazur and Pär Österholm
Forecasting with Bayesian Vector Autoregressions Revisited
Jamie L. Cross and Herman van Dijk
Large Bayesian Tensor VARs with Stochastic Volatility
Joshua Chan and Yaling Qi
Measuring Subregional Economic Activity: Missing Frequencies and Missing Data
Gary Koop, Stuart McIntyre, James Mitchell, Aubrey Poon and Ping Wu
VAR Models with Fat Tails and Dynamic Asymmetry
Tamás Kiss, Stepan Mazur, Hoang Nguyen and Pär Österholm
International Transmission of Macroeconomic Uncertainty in Small Open Economies: An Empirical Approach
Jamie L. Cross, Chenghan Hou and Aubrey Poon
Modeling Local Predictive Ability Using Power-Transformed Gaussian Processes
Oscar Oelrich and Mattias Villani
Spectral Domain Likelihoods for Bayesian Inference in Time-Varying Parameter Models
Oskar Gustafsson, Mattias Villani and Robert Kohn
Bayesian Regularization of the Tangency Portfolio
Olha Bodnar, Taras Bodnar and Vilhelm Niklasson
Predictive Decision Synthesis for Portfolios: Betting on Better Models
Emily Tallman and Mike West

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprbok:978-3-032-00110-8

Ordering information: This item can be ordered from
http://www.springer.com/9783032001108

DOI: 10.1007/978-3-032-00110-8

Access Statistics for this book

More books in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2026-02-09
Handle: RePEc:spr:sprbok:978-3-032-00110-8