Pular para o conteúdo principal

ETHNOS_APP

Início • Busca • Periódicos • Lista 0

Daiki Shiroi

Dados Biográficos

ID9502014
NOMEDaiki Shiroi
PRENOMESDaiki
SOBRENOMEShiroi
ASSINATURASHIROI D
AFILIAÇÕESGunosy Inc Roppongi Hills Mori Tower Tokyo Japan
VERIFICADONão
TOTAL DE OBRAS1
TOTAL DE CITAÇÕES0
OBRAS COMO AUTOR1
OBRAS COMO EDITOR0
PRIMEIRO ANO DE PUBLICAÇÃO2022
ANO MAIS RECENTE DE PUBLICAÇÃO2022
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…

Sem obras proeminentes nesta 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 • Projeto Open Source • Licença MIT • Frontend v2.0.0 • Privacidade e Cookies • Documentação da API: api.ethnos.app/docs • Código da API: GitHub • DOI: 10.5281/zenodo.17049435 • Código do Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae