Gupta, RDas, Sonali2012-01-112012-01-112008-10Gupta, 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, 2008http://hdl.handle.net/10204/5474South African Statistical Association Conference, Pretoria, South Africa, October 27-31, 2008Bayesian 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.enBayesian Vector Autoregressive ModelsStatisticsUS housing marketConference PresentationGupta, R., & Das, S. (2008). Predicting downturns in the US housing market: a Bayesian approach [Conference presentation]. SASA 2008. http://hdl.handle.net/10204/5474Gupta, R, and Sonali Das. "Predicting downturns in the US housing market: a Bayesian approach [Conference presentation]." (2008): http://hdl.handle.net/10204/5474Gupta R, Das S, Predicting downturns in the US housing market: a Bayesian approach [Conference presentation]; SASA 2008; 2008. http://hdl.handle.net/10204/5474 .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 -