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Predicting downturns in the US housing market: a Bayesian approach [Conference presentation]

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dc.contributor.author Gupta, R
dc.contributor.author Das, Sonali
dc.date.accessioned 2012-01-11T11:26:00Z
dc.date.available 2012-01-11T11:26:00Z
dc.date.issued 2008-10
dc.identifier.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 en_US
dc.identifier.uri http://hdl.handle.net/10204/5474
dc.description South African Statistical Association Conference, Pretoria, South Africa, October 27-31, 2008 en_US
dc.description.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. en_US
dc.language.iso en en_US
dc.publisher SASA 2008 en_US
dc.relation.ispartofseries Workflow request;1121
dc.subject Bayesian Vector Autoregressive Models en_US
dc.subject Statistics en_US
dc.subject US housing market en_US
dc.title Predicting downturns in the US housing market: a Bayesian approach [Conference presentation] en_US
dc.type Conference Presentation en_US
dc.identifier.apacitation Gupta, R., & Das, S. (2008). Predicting downturns in the US housing market: a Bayesian approach [Conference presentation]. SASA 2008. http://hdl.handle.net/10204/5474 en_ZA
dc.identifier.chicagocitation Gupta, R, and Sonali Das. "Predicting downturns in the US housing market: a Bayesian approach [Conference presentation]." (2008): http://hdl.handle.net/10204/5474 en_ZA
dc.identifier.vancouvercitation Gupta R, Das S, Predicting downturns in the US housing market: a Bayesian approach [Conference presentation]; SASA 2008; 2008. http://hdl.handle.net/10204/5474 . en_ZA
dc.identifier.ris TY - Conference Presentation AU - Gupta, R AU - Das, Sonali AB - 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. DA - 2008-10 DB - ResearchSpace DP - CSIR KW - Bayesian Vector Autoregressive Models KW - Statistics KW - US housing market LK - https://researchspace.csir.co.za PY - 2008 T1 - Predicting downturns in the US housing market: a Bayesian approach [Conference presentation] TI - Predicting downturns in the US housing market: a Bayesian approach [Conference presentation] UR - http://hdl.handle.net/10204/5474 ER - en_ZA


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