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Robust Bayesian regression approach for areas with small numbers of purchases [electronic resource]

By: Contributor(s): Language: English Series: COBRA ; 2013Publication details: London RICS 2013ISBN:
  • 9781783210305
Subject(s): Online resources: Summary: A paper presented at the COBRA Conference in New Delhi on 10-12 September 2013. Introduces a robust Bayesian approach to integrate experts' knowledge in data-driven models with a small sample size, such as the multiple linear regression analysis. The focus lies on one and two family houses. In order to simulate the market with few purchases, the data is methodically reduced, such as for cases in the edges or in the centre of the data.

A paper presented at the COBRA Conference in New Delhi on 10-12 September 2013. Introduces a robust Bayesian approach to integrate experts' knowledge in data-driven models with a small sample size, such as the multiple linear regression analysis. The focus lies on one and two family houses. In order to simulate the market with few purchases, the data is methodically reduced, such as for cases in the edges or in the centre of the data.