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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 Yanfei Kang. Her research interests include time series analysis, distributed computing and statistical modeling.

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 …
Nov 7, 2019 10 min read

Recent & Upcoming Talks

Distributed ARIMA models for ultra-long time series

ISF talk on “Distributed ARIMA models for ultra-long time series”.
Oct 26, 2020 9:20 AM — 9:40 AM
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Publications

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Forecasting: theory and pratice

[Working paper]
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Distributed ARIMA models for ultra-long time series

[Working paper]
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The uncertainty estimation of feature-based forecast combinations

Forecasting is an indispensable element of operational research (OR) and an important aid to planning. The accurate estimation of the …
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Popular Topics

ARIMA models Distributed forecasting Forecasting Spark Time series features Uncertainty estimation

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