Using machine learning algorithms for housing price prediction: The case of Fairfax County, Virginia housing data
B Park, JK Bae - Expert systems with applications, 2015 - Elsevier
House sales are determined based on the Standard & Poor's Case-Shiller home price
indices and the housing price index of the Office of Federal Housing Enterprise Oversight …
indices and the housing price index of the Office of Federal Housing Enterprise Oversight …
Determinants of house prices in Turkey: Hedonic regression versus artificial neural network
H Selim - Expert systems with Applications, 2009 - Elsevier
Determinants of house prices in Turkey are examined in this paper using the 2004
Household Budget Survey Data. In property valuation and housing market research, the …
Household Budget Survey Data. In property valuation and housing market research, the …
Property valuation using machine learning algorithms on statistical areas in Greater Sydney, Australia
Property valuation plays a significant role in urban economics and is of great importance to
various stakeholders who interact and shape the city, including property owners, buyers …
various stakeholders who interact and shape the city, including property owners, buyers …
Determinants of house prices in Turkey: A hedonic regression model
S Selim - Doğuş Üniversitesi Dergisi, 2008 - dergipark.org.tr
In real estate valuation and house market research, house prices and rental value are
generally analyzed by hedonic model based on micro economic theory. Hedonic model …
generally analyzed by hedonic model based on micro economic theory. Hedonic model …
[PDF][PDF] A review of hedonic pricing models in housing research
A Owusu-Ansah - Journal of International Real Estate and …, 2011 - researchgate.net
The aim of this study is to discuss hedonic pricing models that are often employed in
housing research. Parametric models (loglinear OLS, Box-Cox OLS, and weighted least …
housing research. Parametric models (loglinear OLS, Box-Cox OLS, and weighted least …
Location-centered house price prediction: A multi-task learning approach
Accurate house prediction is of great significance to various real estate stakeholders such as
house owners, buyers, and investors. We propose a location-centered prediction framework …
house owners, buyers, and investors. We propose a location-centered prediction framework …
Repeat sales index for thin markets: a structural time series approach
MK Francke - The Journal of Real Estate Finance and Economics, 2010 - Springer
The repeat sales model is commonly used to construct reliable house price indices in
absence of individual characteristics of the real estate. Several adaptations of the original …
absence of individual characteristics of the real estate. Several adaptations of the original …
[图书][B] How to better measure hedonic residential property price indexes
M Silver - 2016 - books.google.com
Hedonic regressions are used for property price index measurement to control for changes
in the quality-mix of properties transacted. The paper consolidates the hedonic time dummy …
in the quality-mix of properties transacted. The paper consolidates the hedonic time dummy …
[HTML][HTML] Interpretable State-Space Model of Urban Dynamics for Human-Machine Collaborative Transportation Planning
Abstract Strategic Long-Range Transportation Planning (SLRTP) is pivotal in shaping
prosperous, sustainable, and resilient urban futures. Existing SLRTP decision support tools …
prosperous, sustainable, and resilient urban futures. Existing SLRTP decision support tools …
Determinants of apartment price volatility in Vietnam: a comparison between Hanoi and Ho Chi Minh City
NT Nguyen, LHM Nguyen, Q Do… - International Journal of …, 2023 - emerald.com
Purpose This paper aims to explore factors influencing apartment price volatility in the two
biggest cities in Vietnam, Hanoi and Ho Chi Minh City. Design/methodology/approach The …
biggest cities in Vietnam, Hanoi and Ho Chi Minh City. Design/methodology/approach The …