Results 21 to 30 of about 233 (155)
Nonparametric relative recursive regression
Dependence Modeling, 2020 In this paper, we propose the problem of estimating a regression function recursively based on the minimization of the Mean Squared Relative Error (MSRE), where outlier data are present and the response variable of the model is positive.
Slaoui Yousri, Khardani Salah
doaj +1 more source
PAC-Bayesian Aggregation of Affine Estimators [PDF]
, 2014 Aggregating estimators using exponential weights depending on their risk performs well in expectation, but sadly not in probability. Considering exponential weights of a penalized risk is a way to overcome this issue.
Lucie Montuelle, E. L. Pennec
semanticscholar +1 more source
Oracally efficient estimation for single-index link function with simultaneous confidence band
, 2015 Over the last twenty-five years, various √ n-consistent estimators have been devised for the coefficient vector in the popular semiparametric single-index model.
Lijie Gu, Lijian Yang
semanticscholar +1 more source
Some inequalities for a LNQD sequence with applications
Journal of Inequalities and Applications, 2012 In this paper, some inequalities for a linearly negative quadrant dependent (LNQD) sequence are obtained. As their application, the asymptotic normality of the weight function estimate for a regression function is established, which extends the results ...
Yongming Li, Jian-sheng Guo, Naiyi Li
semanticscholar +2 more sources
Analyzing high dimensional correlated data using feature ranking and classifiers
Computational and Mathematical Biophysics, 2019 The Illumina Infinium HumanMethylation27 (Illumina 27K) BeadChip assay is a relatively recent high-throughput technology that allows over 27,000 CpGs to be assayed.
Patil Abhijeet R +3 more
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Goodness-of-Fit Tests in Nonparametric Regression [PDF]
, 2006 AMS classifications: 62G08, 62G10, 62G20, 62G30 ...
John H. J. Einmahl +3 more
core +1 more source
Journal of Inequalities and Applications, 2012 Consider the semiparametric regression model Yi = xiβ + g (ti ) + εi , i = 1, . . .
Chengdong Wei, Yongming Li
semanticscholar +2 more sources
Kink estimation in stochastic regression with dependent errors and predictors [PDF]
, 2010 In this article we study the estimation of the location of jump points in the first derivative (referred to as kinks) of a regression function µ in two random design models with different long-range dependent (LRD) structures.
J. Wishart, Rafal Kulik
semanticscholar +1 more source
A review on consistency and robustness properties of support vector machines for heavy-tailed distributions [PDF]
, 2009 Regularized empirical risk minimization, Support vector machines, Consistency, Robustness, Bouligand influence function, Heavy tails, 68Q32, 62G35, 62G08, 62F35, 68T10,
Arnout Van Messem +3 more
core +1 more source
Bias-variance decomposition in Genetic Programming
Open Mathematics, 2016 We study properties of Linear Genetic Programming (LGP) through several regression and classification benchmarks. In each problem, we decompose the results into bias and variance components, and explore the effect of varying certain key parameters on the
Kowaliw Taras, Doursat René
doaj +1 more source