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职业迁徙
个人简介
My research lies in the broad area of Statistics, Machine Learning and Optimization. Much of my work aims developing novel principled methodology to handle real data with high dimensionality and/or spatial-temporal dependence, e.g., time series and point process. In particular, I work on
1. Causal inference: causal graph discovery and treatment effect estimation,
2. Statistical testing problems: two-sample test, goodness-of-fit test and change-point detection,
3. Generative models,
and their applications in healthcare, power systems, finance, psychology, criminology, and so on.
1. Causal inference: causal graph discovery and treatment effect estimation,
2. Statistical testing problems: two-sample test, goodness-of-fit test and change-point detection,
3. Generative models,
and their applications in healthcare, power systems, finance, psychology, criminology, and so on.
研究兴趣
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