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Office property price index forecasting using neural networks
16 references·5 citing·38 second hop
Office property price index forecasting using neural networks (2023)Office property price index forecasting u…Individual time series and composite forecasting of the Chinese stock index (2021)Individual time series and co…Corn cash price forecasting with neural networks (2021)Corn cash price forecasting w…Predicting property prices with machine learning algorithms (2020)Predicting property prices wi…Corn Cash Price Forecasting (2020)Corn Cash Price ForecastingA new forecasting model with wrapper-based feature selection approach using multi-objective optimization technique for chaotic crude oil time series (2020)A new forecasting model with …Indian stock market prediction using artificial neural networks on tick data (2019)Indian stock market predictio…A Novel Machine Learning Model for Estimation of Sale Prices of Real Estate Units (2015)A Novel Machine Learning Mode…Using machine learning algorithms for housing price prediction: The case of Fairfax County, Virginia housing data (2014)Using machine learning algori…Neural Network Hedonic Pricing Models in Mass Real Estate Appraisal (2009)Neural Network Hedonic Pricin…Determinants of house prices in Turkey: Hedonic regression versus artificial neural network (2008)Determinants of house prices …The application of neural networks to forecast fuzzy time series (2005)The application of neural net…House Price Prediction: Hedonic Price Model vs. Artificial Neural Network (2004)House Price Prediction: Hedon…Predicting Housing Value: A Comparison of Multiple Regression Analysis and Artificial Neural Networks (2001)Predicting Housing Value: A C…An investigation of model selection criteria for neural network time series forecasting (2001)An investigation of model sel…Designing a neural network for forecasting financial and economic time series (1996)Designing a neural network fo…A test for independence based on the correlation dimension (1996)A test for independence based…Predicting Scrap Steel Prices Through Machine Learning for South China (2025)Predicting Scrap Steel Prices…Machine learning platinum price predictions (2025)Machine learning platinum pri…Forecasts of wholesale food price indices through Gaussian process regressions (2025)Forecasts of wholesale food p…Office real estate price index forecasts through Gaussian process regressions for ten major Chinese cities (2024)Office real estate price inde…A Gaussian process regression machine learning model for forecasting retail property prices with Bayesian optimizations and cross-validation (2023)A Gaussian process regression…Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation (1982)Generalized autoregressive conditional heteroskedasticity (1986)ARCH modeling in finance (1992)Analysis of Financial Time Series (2006)Introductory Econometrics for Finance (2008)Hedonic prices, price indices and housing markets (1978)Choice of functional form for hedonic price equations (1981)The Value of Housing Characteristics: A Meta Analysis (2006)Mass appraisal of residential apartments: An application of Random forest for valuation and a CART-based approach for model diagnostics (2011)A New Approach to Consumer Theory (1966)Hedonic Prices and Implicit Markets: Product Differentiation in Pure Competition (1974)A New Approach to Consumer Theory (1976)Monitoring housing rental prices based on social media:An integrated approach of machine-learning algorithms and hedonic modeling to inform equitable housing policies (2019)The accuracy of extrapolation (time series) methods: Results of a forecasting competition (1982)Forecasting enrollments with fuzzy time series — Part I (1993)Forecasting with artificial neural networks: (1998)A Type 2 fuzzy time series model for stock index forecasting (2005)Improvement of Auto-Regressive Integrated Moving Average models using Fuzzy logic and Artificial Neural Networks (ANNs) (2008)A hybrid fuzzy time series model based on granular computing for stock price forecasting (2014)A neural network model for bankruptcy prediction (1990)Support vector machine with adaptive parameters in financial time series forecasting (2003)Predicting the Price of Bitcoin Using Machine Learning (2018)Forecasting: theory and practice (2022)Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root (1981)Statistical analysis of cointegration vectors (1988)Testing for a Unit Root in Time Series Regression (1988)Forecasting wholesale prices of yellow corn through the Gaussian process regression (2024)Wholesale price forecasts of green grams using the neural network (2024)Forecasting crude oil price with an EMD-based neural network ensemble learning paradigm (2008)Crude oil time series prediction model based on LSTM network with chaotic Henry gas solubility optimization (2021)The Derived FOXP2 Variant of Modern Humans Was Shared with Neandertals (2007)To Explain or to Predict? (2010)Big Data: New Tricks for Econometrics (2014)House price forecasting with neural networks (2021)Pre-owned housing price index forecasts using Gaussian process regressions (2024)Predictions of residential property price indices for China via machine learning models (2025)Testing the null hypothesis of stationarity against the alternative of a unit root (1992)A HOUSE PRICE VALUATION BASED ON THE RANDOM FOREST APPROACH: THE MASS APPRAISAL OF RESIDENTIAL PROPERTY IN SOUTH KOREA (2020)
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References

  • 1996A test for independence based on the correlation dimension3,526 cited
  • 1996Designing a neural network for forecasting financial and economic time series1,092 cited
  • 2020A new forecasting model with wrapper-based feature selection approach using multi-objective optimization technique for chaotic crude oil time series481 cited
  • 2020Corn Cash Price Forecasting443 cited
  • 2014Using machine learning algorithms for housing price prediction: The case of Fairfax County, Virginia housing data400 cited
  • 2008Determinants of house prices in Turkey: Hedonic regression versus artificial neural network361 cited
  • 2001Predicting Housing Value: A Comparison of Multiple Regression Analysis and Artificial Neural Networks313 cited
  • 2005The application of neural networks to forecast fuzzy time series308 cited
  • 2020Predicting property prices with machine learning algorithms293 cited
  • 2021Corn cash price forecasting with neural networks291 cited
  • 2015A Novel Machine Learning Model for Estimation of Sale Prices of Real Estate Units289 cited
  • 2019Indian stock market prediction using artificial neural networks on tick data271 cited
  • 2001An investigation of model selection criteria for neural network time series forecasting257 cited
  • 2004House Price Prediction: Hedonic Price Model vs. Artificial Neural Network

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255 cited
  • 2021Individual time series and composite forecasting of the Chinese stock index241 cited
  • 2009Neural Network Hedonic Pricing Models in Mass Real Estate Appraisal212 cited
  • Cited by

    • 2025Forecasts of wholesale food price indices through Gaussian process regressions97 cited
    • 2023A Gaussian process regression machine learning model for forecasting retail property prices with Bayesian optimizations and cross-validation96 cited
    • 2024Office real estate price index forecasts through Gaussian process regressions for ten major Chinese cities78 cited
    • 2025Machine learning platinum price predictions45 cited
    • 2025Predicting Scrap Steel Prices Through Machine Learning for South China42 cited