Real Estate Appraisals with Bayesian Approach and Markov Chain Hybrid Monte Carlo Method: An Application to a Central Urban Area of Naples

Real Estate Appraisals with Bayesian Approach and Markov Chain Hybrid Monte Carlo Method: An Application to a Central Urban Area of Naples

This paper experiments an artificial neural networks model with Bayesian approach on a small real estate sample. The output distribution has been calculated operating a numerical integration on the weights space with the Markov Chain Hybrid Monte Carlo Method (MCHMCM). On the same real estate sample...

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Bibliographic Details
Main Authors: Vincenzo Del Giudice, Pierfrancesco De Paola, Fabiana Forte, Benedetto Manganelli
Format: Article
Language:English
Published: MDPI AG 2017-11-01
Series:Sustainability
Subjects:
real estate appraisals
hedonic price model
artificial neural networks
Bayesian approach
Markov Chain Hybrid Monte Carlo Method
multiple regression analysis
Penalized Spline Semiparametric Method
Online Access:https://www.mdpi.com/2071-1050/9/11/2138

Internet

https://www.mdpi.com/2071-1050/9/11/2138

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