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Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：Probabilistic HIV Recency Classification -- A Logistic Regression without Labeled Individual Level Training Data
概率 HIV新近度分类 个人水平训练数据 逻辑回归
2023/4/24
Accurate HIV incidence estimation based on individual recent infection status (recent vs long-term infection) is important for monitoring the epidemic, targeting interventions to those at greatest ris...
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：Bootstrap-based Statistical Analysis for Multi-period Data-driven Inventory Models with Seasonal Demand
自举 统计分析 季节性需求 多周期数据 驱动库存模型
2023/4/24
We study multi-period inventory control systems in which managers face seasonal demands with unknown distributions and make inventory decisions based on past demand data. It can be shown that a data-d...
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：A method to deal with generalized linear regressions in big data
处理 大数据 广义线性回归
2023/4/28
This paper proposes a method to accelerate calculation for generalized linear models in big data. We separate the covariates of full model into several groups to build candidate models. In the process...
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：Model-free conditional screening for ultrahigh-dimensional survival data via conditional distance correlation
条件距离 相关性 超高维 生存数据 无模型 条件筛选
2023/5/4
How to select the active variables which have significant impact on the event of interest is a very important and meaningful problem in the statistical analysis of ultrahigh-dimensional data. In many ...
The 2018 ICSA China Data Science Conference will be held in the beautiful city of Qingdao, Shandong, China during July 2 – 5 2018. The conference will cover a wide range of topics in data science. It...
2018年复杂网络高维数据统计挑战研讨会（Meeting the Statistical Challenges in High Dimensional Data and Complex Networks）
2018年 复杂网络高维数据统计挑战 研讨会
2017/11/24
The program aims at showing the role of modern statistical methods in complex data and serves to support interactions among mathematicians, statisticians, engineers and scientists working in the inter...
中山大学岭南学院高级计量经济学课件（II：Panel Data）CH5 Unit Roots and Cointegration in panels
中山大学岭南学院 高级计量经济学 课件（II：Panel Data） CH5 Unit Roots and Cointegration in panels
2017/6/14
中山大学岭南学院高级计量经济学课件（II：Panel Data）CH5 Unit Roots and Cointegration in panels。
中山大学岭南学院高级计量经济学课件（II：Panel Data）CH4 Instrumental Variable Estimation and Dynamic Panel Data Model
中山大学岭南学院 高级计量经济学 课件（II：Panel Data） CH4 Instrumental Variable Estimation and Dynamic Panel Data Model
2017/6/14
中山大学岭南学院高级计量经济学课件（II：Panel Data）CH4 Instrumental Variable Estimation and Dynamic Panel Data Model。
中山大学岭南学院高级计量经济学课件（II：Panel Data）CH3 Covariance Structure and Robust Covariance Estimation
中山大学岭南学院 高级计量经济学 课件（II：Panel Data） CH3 Covariance Structure and Robust Covariance Estimation
2017/6/14
中山大学岭南学院高级计量经济学课件（II：Panel Data）CH3 Covariance Structure and Robust Covariance Estimation。
中山大学岭南学院高级计量经济学课件（II：Panel Data）CH2 The Seemingly Unrelated Regression Model
中山大学岭南学院 高级计量经济学 课件（II：Panel Data） CH2 The Seemingly Unrelated Regression Model
2017/6/14
中山大学岭南学院高级计量经济学课件（II：Panel Data）CH2 The Seemingly Unrelated Regression Model。
中山大学岭南学院高级计量经济学课件（II：Panel Data）CH1 Static Panel Data Models
中山大学岭南学院 高级计量经济学 课件（II：Panel Data） CH1 Static Panel Data Models
2017/6/14
中山大学岭南学院高级计量经济学课件（II：Panel Data）CH1 Static Panel Data Models。
中山大学岭南学院高级计量经济学课件（I：Nonparametric Econometrics）CH5 Nonparametric Estimation of Panel Data Models
中山大学岭南学院 高级计量经济学 课件（I：Nonparametric Econometrics） CH5 Nonparametric Estimation of Panel Data Models
2017/6/14
中山大学岭南学院高级计量经济学课件（I：Nonparametric Econometrics）CH5 Nonparametric Estimation of Panel Data Models。
Direct Regression Modelling of High-order Moments in Big Data
Big data Higher-order moment U-statistics Estimating equation Divide-and-conquer
2016/1/20
Big data problems present great challenges to statisti-cal analyses, especially from the computational side. In this paper, we consider regression estimation of high-order mo-ments in big data problem...
Estimation in semiparametric models with missing data
Copulas imputation kernel smoothing missing at random nuisance function partially linear model
2016/1/20
This paper considers the problem of parameter estimation in a general class of semiparametric models when observations are subject to missingness at random.The semiparametric models allow for estimati...
Asymptotic Minimaxity of False Discovery Rate Thresholding for Sparse Exponential Data
Minimax Decision theory Minimax Bayes estimation
2015/8/21
Control of the False Discovery Rate (FDR) is a recent innovation in multiple hypothesis
testing, allowing the user to limit the fraction of rejected null hypotheses which correspond to
false rejecti...