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數(shù)字引領(lǐng)時(shí)代  智能開(kāi)創(chuàng)未來(lái)

劉宇揚(yáng)(LIU Yuyang)

講師電話(huà):
 電子郵件:[email protected]

教育背景

博士(統(tǒng)計(jì)學(xué)),2024年,上海交通大學(xué)
學(xué)士(統(tǒng)計(jì)學(xué)),2019年,上海財(cái)經(jīng)大學(xué)


研究領(lǐng)域

復(fù)雜數(shù)據(jù)圖模型統(tǒng)計(jì)推斷

簡(jiǎn)介

上海對(duì)外經(jīng)貿(mào)大學(xué)統(tǒng)計(jì)與數(shù)據(jù)科學(xué)學(xué)院講師,兼任Statistics and Computing等期刊審稿人,并在Biometrics、Statistics and Computing等學(xué)術(shù)期刊發(fā)表研究論文。

部分發(fā)表論文

  1. Y.Liu, S.Luo and J.Li (2024). Hypothesis testing in the ordinal predictive models with optimal accuracy. Biometrics. 80(3), ujae079.

  2. Y.Liu and S.Luo (2023). Feature selection in ultrahigh-dimensional additive models with heterogeneous frequency component functions. Journal of Statistical Planning and Infer ence. 225, 243–265.

  3. Y.Liu, P.Pi and S.Luo (2023). A semi-parametric approach to feature selection in high dimensional linear regression models. Computational Statistics. 38, 979–1000.

  4. Y.Bao and Y.Liu (2022). Varying coefficient linear discriminant analysis for dynamic data. Electronic Journal of Statistics. 16(2),5378–5436.


科研項(xiàng)目

  1. 國(guó)家自然科學(xué)基金面上項(xiàng)目,協(xié)變量依賴(lài)的高維圖模型:理論、方法及應(yīng)用,2025/01-2028/12,參與。