基本信息
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职业迁徙
个人简介
RESEARCH
Time series analysis and forecasting: I study the modeling and the prediction of univariate and multivariate time series; ARIMA models; state space models; smoothing and shrinkage methods; time series models for count data; the detection of outliers and adaptive estimation, and the reduction of dimensionality in multiple time series.
Statistical methods for process improvement: The results of well-designed experiments can tell us how to improve processes. I study and apply sound design principles to conduct industrial experiments, economic/business field experiments, and animal experiments. Statistical surveillance of processes can tell us whether process characteristics have changed. I study statistical control chart methods (CUSUM charts, robust control charts) for time-change detection.
Time series analysis and forecasting: I study the modeling and the prediction of univariate and multivariate time series; ARIMA models; state space models; smoothing and shrinkage methods; time series models for count data; the detection of outliers and adaptive estimation, and the reduction of dimensionality in multiple time series.
Statistical methods for process improvement: The results of well-designed experiments can tell us how to improve processes. I study and apply sound design principles to conduct industrial experiments, economic/business field experiments, and animal experiments. Statistical surveillance of processes can tell us whether process characteristics have changed. I study statistical control chart methods (CUSUM charts, robust control charts) for time-change detection.
研究兴趣
论文共 227 篇作者统计合作学者相似作者
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AUSTRIAN JOURNAL OF STATISTICSno. 1 (2023): 87-100
Perioperative Care and Operating Room Management (2023): 100299-100299
Cureusno. 10 (2022): e30683-e30683
Experimental eye research (2021): 108494-108494
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