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Ben-Chang Shia

Datos Biográficos

ID8920173
NOMBREBen-Chang Shia
NOMBRESBen-Chang
APELLIDOShia
FIRMASHIA B
AFILIACIONESTaipei Medical University
VERIFICADONo
TOTAL DE OBRAS2
TOTAL DE CITAS0
TOTAL COMO AUTOR2
TOTAL COMO EDITOR0
PRIMER AÑO DE PUBLICACIÓN2020
AÑO MÁS RECIENTE DE PUBLICACIÓN2025
ÍNDICE H0
  • Bayesian Dynamic Matrix Factor Models

    Lei Qin, Yinzhi Wang et al.•ARTICLE•Journal of Business and Economic…•2025

    The growth in data volume and the expansion in data dimensionality are challenging the analysis of high-dimensional matrix time series. Factor models for matrix-valued high-dimensional time series are a powerful tool for reducing the dimensionality of the variables with low-rank structures. However, existing high-dimensional matrix factor models are nearly all static and struggle to capture the dynamics and time evolution of data. In this paper, …

  • Prediction of Number of Cases of 2019 Novel Coronavirus (Covid-19) Using Social Media Search Index

    Open Access•Lei Qin, Qiang Sun et al.•ARTICLE•International Journal of…•2020

    Predicting the number of new suspected or confirmed cases of novel coronavirus disease 2019 (COVID-19) is crucial in the prevention and control of the COVID-19 outbreak. Social media search indexes (SMSI) for dry cough, fever, chest distress, coronavirus, and pneumonia were collected from 31 December 2019 to 9 February 2020. The new suspected cases of COVID-19 data were collected from 20 January 2020 to 9 February 2020. We used the lagged series …

Sin obras prominentes en esta página.

  • Prediction of Number of Cases of 2019 Novel Coronavirus (Covid-19) Using Social Media Search Index

    Open Access•Lei Qin, Qiang Sun et al.•ARTICLE•International Journal of…•2020

    Predicting the number of new suspected or confirmed cases of novel coronavirus disease 2019 (COVID-19) is crucial in the prevention and control of the COVID-19 outbreak. Social media search indexes (SMSI) for dry cough, fever, chest distress, coronavirus, and pneumonia were collected from 31 December 2019 to 9 February 2020. The new suspected cases of COVID-19 data were collected from 20 January 2020 to 9 February 2020. We used the lagged series …

  • Bayesian Dynamic Matrix Factor Models

    Lei Qin, Yinzhi Wang et al.•ARTICLE•Journal of Business and Economic…•2025

    The growth in data volume and the expansion in data dimensionality are challenging the analysis of high-dimensional matrix time series. Factor models for matrix-valued high-dimensional time series are a powerful tool for reducing the dimensionality of the variables with low-rank structures. However, existing high-dimensional matrix factor models are nearly all static and struggle to capture the dynamics and time evolution of data. In this paper, …

Computer Science (2 obras) · Mathematics (2 obras) · 2019-20 coronavirus outbreak (1 obras) · Artificial Intelligence (1 obras) · Bayesian probability (1 obras) · Betacoronavirus (1 obras) · Complex Systems and Time Series Analysis (1 obras) · Computational and Text Analysis Methods (1 obras) · Coronavirus (1 obras) · Coronavirus disease 2019 (COVID-19 (1 obras)

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