Title
An Approximate Bayesian Algorithm For Combining Forecasts
Abstract
In this paper we propose a consensus forecasting method based on a convex combination of individual forecast densities. The exact Bayesian updating of the convex combination weights is very complex and practically prohibitive. We propose a simple sequential updating alternative method based on function approximation. Several examples illustrate the method.
Year
DOI
Venue
2001
10.1111/j.1540-5915.2001.tb00967.x
DECISION SCIENCES
Keywords
DocType
Volume
financial models,statistics,time series forecasting,term structure
Journal
32
Issue
ISSN
Citations 
3
0011-7315
2
PageRank 
References 
Authors
0.40
1
3
Name
Order
Citations
PageRank
Kim-Hung Li1294.94
Heung Wong28022.74
Marvin Troutt3171.32