搜索结果: 1-15 共查到“数理统计学 regression”相关记录35条 . 查询时间(0.125 秒)
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：Sequential implementation of reconstruction regression
重建回归 顺序实现 空间填充设计
2023/4/26
We propose a sequential method for implementing reconstruction regression. With a space-filling design of a small sample size, we use GP interpolation-based reconstruction regression to build initial ...
中山大学岭南学院高级计量经济学课件（II：Time series）CH1 Basic Regression with Time Series
中山大学岭南学院 高级计量经济学 课件（II：Time series） CH1 Basic Regression with Time Series
2017/6/14
中山大学岭南学院高级计量经济学课件（II：Time series）CH1 Basic Regression with Time Series。
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（I：Nonparametric Econometrics）CH2 Nonparametric Regression Estimation
中山大学岭南学院 高级计量经济学 课件（I：Nonparametric Econometrics） CH2 Nonparametric Regression Estimation
2017/6/14
中山大学岭南学院高级计量经济学课件（I：Nonparametric Econometrics）CH2 Nonparametric Regression Estimation。
中山大学岭南学院高级计量经济学课件（I）CH4 Large Sample Distribution Theory and Large Sample Properties of the Classical Regression Model
中山大学岭南学院 高级计量经济学 课件（I） CH4 Large Sample Distribution Theory and Large Sample Properties of the Classical Regression Model
2017/6/14
中山大学岭南学院高级计量经济学课件（I）CH4 Large Sample Distribution Theory and Large Sample Properties of the Classical Regression Model。
中山大学岭南学院高级计量经济学课件（I）CH1 The Classical Multiple Regression Model
中山大学岭南学院 高级计量经济学 课件（I） CH1 The Classical Multiple Regression Model
2017/6/14
中山大学岭南学院高级计量经济学课件（I）CH1 The Classical Multiple Regression Model。
Regularization methods for high-dimensional instrumental variables regression with an application to genetical genomics
Causal inference Confounding Endogeneity Sparse regression
2016/1/25
In genetical genomics studies, it is important to jointly analyze gene expression data and genetic variants in exploring their associations with complex traits, where the dimensionality of gene expres...
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...
Regularization methods for high-dimensional instrumental variables regression with an application to genetical genomics
Causal inference Confounding Endogeneity Sparse regression
2016/1/20
In genetical genomics studies, it is important to jointly analyze gene expression data and genetic variants in exploring their associations with complex traits, where the dimensionality of gene expres...
Multivariate Regression Shrinkage and Selection by Canonical Correlation Analysis
Adaptive Lasso Canonical Correlation Analysis Multivariate Regression Selection Consistency
2016/1/20
The problem of regression shrinkage and selection for multivariate regression is considered. The goal is to consistently identify those variables relevant for regression. This is done not only for pre...
ASYMPTOTIC EQUIVALENCE FOR NONPARAMETRIC REGRESSION
ASYMPTOTIC EQUIVALENCE NONPARAMETRIC REGRESSION
2015/8/25
We consider a nonparametric model En, generated by independent observations Xi, i = 1, ..., n, with densities p(x, θi), i = 1, ..., n, the parameters of which θi = f(i/n) ∈ Θ are driven by the values ...
ADAPTIVE SPLINE ESTIMATES FOR NONPARAMETRIC REGRESSION MODELS
ADAPTIVE SPLINE ESTIMATES NONPARAMETRIC REGRESSION MODELS
2015/8/25
ADAPTIVE SPLINE ESTIMATES FOR NONPARAMETRIC REGRESSION MODELS.
REGRESSION WITH AN ORDERED CATEGORICAL RESPONSE
Proportional odds Ordered categorical Non-parametric
2015/8/21
A survey on Mselenijoint disease in South Africa involved the scoring ofpelvic X-rays of women to measure osteoporosis. The scores were ordinal by construction and ranged from 0 to 12. It is standard ...
Least Angle Regression
Least Angle Regression
2015/8/21
The purpose of model selection algorithms such as All Subsets, Forward Selection, and Backward Elimination is to choose a linear model on the basis of the same set of data to which the model will be a...