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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...
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 ...
The problem of using covariates to predict shapes of objects in a regression setting is important in many fields. A formal statistical approach, termed geodesic regression model, is commonly used for ...
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(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)CH1 The Classical Multiple Regression Model。
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...
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...
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...
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       font style='font-size:12px;'> 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.
REGRESSION WITH AN ORDERED CATEGORICAL RESPONSE     Proportional odds  Ordered categorical  Non-parametric       font style='font-size:12px;'> 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 ...

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