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Daiki Shiroi

Datos Biográficos

ID9502014
NOMBREDaiki Shiroi
NOMBRESDaiki
APELLIDOShiroi
FIRMASHIROI D
AFILIACIONESGunosy Inc Roppongi Hills Mori Tower Tokyo Japan
VERIFICADONo
TOTAL DE OBRAS1
TOTAL DE CITAS0
OBRAS COMO AUTOR1
OBRAS COMO EDITOR0
PRIMER AÑO DE PUBLICACIÓN2022
AÑO MÁS RECIENTE DE PUBLICACIÓN2022
ÍNDICE H0
  • A Comparison of Residential Apartment Rent Price Predictions Using a Large Data Set

    Open Access•Hajime Seya, Daiki Shiroi•ARTICLE•Geographical Analysis•2022

    Despite several attempts to compare and examine the predictive accuracy of real estate sales and rent prices between the regression‐based and neural‐network (NN)‐based approaches, the results are largely mixed. Prior study limitations include a small sample size and a disregard for spatial dependence, which is an essential characteristic of real estate properties. Hence, this study aims to add new empirical evidence to the literature on comparing…

Sin obras prominentes en esta página.

  • A Comparison of Residential Apartment Rent Price Predictions Using a Large Data Set

    Open Access•Hajime Seya, Daiki Shiroi•ARTICLE•Geographical Analysis•2022

    Despite several attempts to compare and examine the predictive accuracy of real estate sales and rent prices between the regression‐based and neural‐network (NN)‐based approaches, the results are largely mixed. Prior study limitations include a small sample size and a disregard for spatial dependence, which is an essential characteristic of real estate properties. Hence, this study aims to add new empirical evidence to the literature on comparing…

Apartment (1 obra) · Artificial Intelligence (1 obra) · Artificial Intelligence (1 obra) · Artificial neural network (1 obra) · Computer Science (1 obra) · Covariate (1 obra) · Econometrics (1 obra) · Economics (1 obra) · Engineering (1 obra) · Gaussian (1 obra)

Ethnos_APP • Proyecto Open Source • Licencia MIT • Frontend v2.0.0 • Privacidad y Cookies • Documentación de la API: api.ethnos.app/docs • Código de la API: GitHub • DOI: 10.5281/zenodo.17049435 • Código del Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae