Results 21 to 30 of about 1,005 (119)
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
doaj +1 more source
Effect of mean on variance function estimation in nonparametric regression [PDF]
, 2008 Variance function estimation in nonparametric regression is considered and the minimax rate of convergence is derived. We are particularly interested in the effect of the unknown mean on the estimation of the variance function. Our results indicate that,
Brown, Lawrence D. +3 more
core +3 more sources
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
Pac-bayesian bounds for sparse regression estimation with exponential weights [PDF]
, 2010 We consider the sparse regression model where the number of parameters $p$ is larger than the sample size $n$. The difficulty when considering high-dimensional problems is to propose estimators achieving a good compromise between statistical and ...
Alquier, Pierre, Lounici, Karim
core +4 more sources
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
Upper bounds and aggregation in bipartite ranking
, 2013 One main focus of learning theory is to find optimal rates of convergence. In classification, it is possible to obtain optimal fast rates (faster than n−1/2) in a minimax sense. Moreover, using an aggregation procedure, the algorithms are adaptive to the
Sylvain Robbiano
semanticscholar +1 more source
Testing the suitability of polynomial models in errors-in-variables problems [PDF]
, 2007 A low-degree polynomial model for a response curve is used commonly in practice. It generally incorporates a linear or quadratic function of the covariate.
Hall, Peter, Ma, Yanyuan
core +3 more sources
Uniform in bandwidth consistency of kernel estimators of the density of mixed data
, 2015 We establish a general uniform in bandwidth consistency result for kernel estimators of the unconditional and conditional joint density of a distribution, which is defined by a mixed discrete and continuous random variable.
D. Mason, J. Swanepoel
semanticscholar +1 more source