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Xiaoqian Wang

Ph.D. Student in Statistics

Beihang University

Xiaoqian Wang is a Ph.D. student in Statistics at Beihang University, supervised by Associate Professor Yanfei Kang. Her research interests include time series analysis, distributed computing and statistical modeling. She is currently working on forecast combinations and distributed modeling for ultra-long time series forecasting.

Interests

  • Time Series Analysis
  • Distributed Computing
  • Statistical Modeling

Education

  • Ph.D. in Statistics (begun 2018)

    Beihang University

  • M. in Applied Statistics, 2018

    Central University of Finance and Economics

  • B.Ec in Statistics, 2016

    Shanxi University of Finance and Economics

Recent Posts

Invert SARIMA models to AR

SARIMA Seasonal Autoregressive Integrated Moving Average, SARIMA or Seasonal ARIMA, is an extension of ARIMA that explicitly supports …

Recent & Upcoming Talks

Participant talk at AMSI winter school 2021

A participant’s talk at AMSI winter school 2021.

The uncertainty estimation of feature-based forecast combinations

41st ISF talk on “The uncertainty estimation of feature-based forecast combinations”.

Distributed ARIMA models for ultra-long time series

ISF talk on “Distributed ARIMA models for ultra-long time series”.

Publications

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Forecast combinations: an over 50-year review

An up-to-date review of the literature on forecast combinations

Forecasting: theory and pratice

A review of the theory and the practice of forecasting

Featured Awards

Best Student Presentation Award

In recognition of an inspiring, effective and professional student speaker at the 40th International Symposium on Forecasting (26-28 October 2020, VIRTUAL)

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