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https://doi.org/10.2139/ssrn.3300193

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/9780470690680.ch5openalex-extracted
Hedonic Pricing Models: A Selective and Applied Review
inferredcites →https://doi.org/10.1002/isaf.287openalex-extracted
Hedonic price models and indices based on boosting applied to the Dutch housing market
inferredcites →https://doi.org/10.1007/978-0-387-21606-5_2openalex-extracted
Overview of Supervised Learning
inferredcites →https://doi.org/10.1007/978-1-4614-7138-7_1openalex-extracted
Introduction
inferredcites →https://doi.org/10.1007/978-1-4757-3462-1openalex-extracted
Regression Modeling Strategies
inferredcites →https://doi.org/10.1007/978-3-319-49746-4_14openalex-extracted
The Multilevel Model in the Computer-Generated Appraisal: A Case in Palermo
inferredcites →https://doi.org/10.1016/b978-1-4832-1446-7.50035-2openalex-extracted
Learning Internal Representations by Error Propagation
inferredcites →https://doi.org/10.1016/j.eswa.2011.08.077openalex-extracted
Mass appraisal of residential apartments: An application of Random forest for valuation and a CART-based approach for model diagnostics
inferredcites →https://doi.org/10.1016/j.landurbplan.2012.06.009openalex-extracted
Variable selection for hedonic model using machine learning approaches: A case study in Onondaga County, NY
inferredcites →https://doi.org/10.1016/j.trpro.2014.10.067openalex-extracted
A Neural Network based Model for Real Estate Price Estimation Considering Environmental Quality of Property Location
inferredcites →https://doi.org/10.1016/s1051-1377(03)00003-2openalex-extracted
Do housing submarkets really matter?
inferredcites →https://doi.org/10.1016/s1051-1377(03)00031-7openalex-extracted
Housing market segmentation and hedonic prediction accuracy
inferredcites →https://doi.org/10.1017/cbo9781316576533openalex-extracted
Computer Age Statistical Inference
inferredcites →https://doi.org/10.1023/a:1010933404324openalex-extracted
Random Forests
inferredcites →https://doi.org/10.1023/b:real.0000035309.60607.53openalex-extracted
Modeling Spatial and Temporal House Price Patterns: A Comparison of Four Models
inferredcites →https://doi.org/10.1068/b2780openalex-extracted
Valuing Locational Externalities: A GIS and Multilevel Modelling Approach
inferredcites →https://doi.org/10.1080/00420980120080899openalex-extracted
Environmental Variables and Real Estate Prices
inferredcites →https://doi.org/10.1080/07350015.1984.10509366openalex-extracted
Robust Methods of Building Regression Models—An Application to thè Housing Sector
inferredcites →https://doi.org/10.1080/09599916.2013.781204openalex-extracted
Prediction accuracy in mass appraisal: a comparison of modern approaches
inferredcites →https://doi.org/10.1080/09599916.2013.846930openalex-extracted
Automated valuation modelling: a specification exercise
inferredcites →https://doi.org/10.1080/10835547.1995.12090782openalex-extracted
An Exploration of Neural Networks and Its Application to Real Estate Valuation
inferredcites →https://doi.org/10.1080/10835547.2004.12091603openalex-extracted
A Hierarchical Linear Model Approach for Assessing the Effects of House and Neighborhood Characteristics on Housing Prices
inferredcites →https://doi.org/10.1080/10835547.2005.12090154openalex-extracted
The Composition of Hedonic Pricing Models
inferredcites →https://doi.org/10.1080/10835547.2009.12091245openalex-extracted
Neural Network Hedonic Pricing Models in Mass Real Estate Appraisal
inferredcites →https://doi.org/10.1080/10835547.2010.12091276openalex-extracted
Predicting House Prices with Spatial Dependence: A Comparison of Alternative Methods
inferredcites →https://doi.org/10.1080/10835547.2011.12091311openalex-extracted
A Comparison of Regression and Artificial Intelligence Methods in a Mass Appraisal Context
inferredcites →https://doi.org/10.1080/10835547.2018.12091505openalex-extracted
Impact of Artificial Neural Networks Training Algorithms on Accurate Prediction of Property Values
inferredcites →https://doi.org/10.1108/jerer-03-2016-0014openalex-extracted
Modelling the impact of earthquake activity on real estate values: a multi-level approach
inferredcites →https://doi.org/10.1109/ieem.2017.8289904openalex-extracted
A hybrid regression technique for house prices prediction
inferredcites →https://doi.org/10.1109/mass.2017.88openalex-extracted
Predicting Zillow Estimation Error Using Linear Regression and Gradient Boosting
inferredcites →https://doi.org/10.1145/2939672.2939785openalex-extracted
XGBoost
inferredcites →https://doi.org/10.1214/aos/1013203451openalex-extracted
Greedy function approximation: A gradient boosting machine.
inferredcites →https://doi.org/10.1214/aos/1176350366openalex-extracted
High Breakdown-Point and High Efficiency Robust Estimates for Regression
inferredcites →https://doi.org/10.1257/jep.28.2.3openalex-extracted
Big Data: New Tricks for Econometrics
inferredcites →https://doi.org/10.1257/jep.31.2.87openalex-extracted
Machine Learning: An Applied Econometric Approach
inferredcites →https://doi.org/10.18637/jss.v067.i01openalex-extracted
Fitting Linear Mixed-Effects Models Using lme4
inferredcites →https://doi.org/10.18637/jss.v077.i01openalex-extracted
ranger : A Fast Implementation of Random Forests for High Dimensional Data in C++ and R
inferredcites →https://doi.org/10.20965/jaciii.2017.p1040openalex-extracted
Housing Market Hedonic Price Study Based on Boosting Regression Tree
inferredcites →https://doi.org/10.2139/ssrn.1138641openalex-extracted
Constant-Quality House Price Indexes for Switzerland
inferredcites →https://doi.org/10.2139/ssrn.1407609openalex-extracted
Housing Finance, Prices, and Tenure in Switzerland
inferredcites →https://doi.org/10.2139/ssrn.771867openalex-extracted
Spatial Dependence, Housing Submarkets, and House Prices

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/s10479-021-03932-5openalex-snapshot
Real estate price estimation in French cities using geocoding and machine learning
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