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Please use this identifier to cite or link to this item: http://hdl.handle.net/10204/5474

Title: Predicting downturns in the US housing market: a Bayesian approach [Conference presentation]
Authors: Gupta, R
Das, S
Keywords: Bayesian Vector Autoregressive Models
Statistics
US housing market
Issue Date: Oct-2008
Publisher: SASA 2008
Citation: Gupta, R and Das, S. 2008. Predicting downturns in the US housing market: a Bayesian approach . South African Statistical Association Conference, Pretoria, South Africa, October 27-31, 2008
Series/Report no.: Workflow request;1121
Abstract: Bayesian methods are influenced by choice of prior. None-the-less, their importance cannot be disregarded in light of current exercise and existing other literature . The way forward is to try other large scale Bayesian models that incorporate other potential fundamentals.
Description: South African Statistical Association Conference, Pretoria, South Africa, October 27-31, 2008
URI: http://hdl.handle.net/10204/5474
Appears in Collections:Sustainability science
Infrastructure systems and operations
Logistics and quantitative methods
General science, engineering & technology

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