Results 31 to 40 of about 724,098 (319)
Gini estimation under infinite variance [PDF]
, 2017 We study the problems related to the estimation of the Gini index in presence of a fat-tailed data generating process, i.e. one in the stable distribution class with finite mean but infinite variance (i.e. with tail index $\alpha\in(1,2)$). We show that,
Cirillo, Pasquale +2 more
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Nonparametric regression using deep neural networks with ReLU activation function [PDF]
Annals of Statistics, 2017 Consider the multivariate nonparametric regression model. It is shown that estimators based on sparsely connected deep neural networks with ReLU activation function and properly chosen network architecture achieve the minimax rates of convergence (up to $
J. Schmidt-Hieber
semanticscholar +1 more source
Penalized variable selection procedure for Cox models with semiparametric relative risk
, 2010 We study the Cox models with semiparametric relative risk, which can be partially linear with one nonparametric component, or multiple additive or nonadditive nonparametric components.
Du, Pang, Liang, Hua, Ma, Shuangge
core +1 more source
Asymptotic equivalence and adaptive estimation for robust nonparametric regression [PDF]
, 2009 Asymptotic equivalence theory developed in the literature so far are only for bounded loss functions. This limits the potential applications of the theory because many commonly used loss functions in statistical inference are unbounded.
Cai, T. Tony, Zhou, Harrison H.
core +4 more sources
Open Agriculture, 2021 Multilocation experiments are the steps to determine the genotype stability being tested. Honey sweet potato is a superior agricultural product from West Java, Indonesia.
Karuniawan Agung +6 more
doaj +1 more source
, 2008 We present a new class of methods for high-dimensional nonparametric regression and classification called sparse additive models (SpAM). Our methods combine ideas from sparse linear modeling and additive nonparametric regression.
Lafferty, John +3 more
core +2 more sources
Nonparametric Productivity Analysis [PDF]
SSRN Electronic Journal, 2005 How can we measure and compare the relative performance of production units? If input and output variables are one dimensional, then the simplest way is to compute efficiency by calculating and comparing the ratio of output and input for each production unit.
Wolfgang Härdle, Seok-Oh Jeong
openaire +3 more sources
Nonparametric Interaction Selection
Statistica Sinica, 2022 cancelled due to Covid ...
Yushen Dong (185193), Yichao Wu (259129)
openaire +3 more sources
Detect and exploit hidden structure in fatty acid signature data
Ecosphere, 2017 Estimates of predator diet composition are essential to our understanding of their ecology. Although several methods of estimating diet are practiced, methods based on biomarkers have become increasingly common. Quantitative fatty acid signature analysis
Jeffrey F. Bromaghin +2 more
doaj +1 more source
Control Limits for an Adaptive Self-Starting Distribution-Free CUSUM Based on Sequential Ranks
Technologies, 2019 Since their introduction in 1954, cumulative sum (CUSUM) control charts have seen a widespread use beyond the conventional realm of statistical process control (SPC).
Michael Lang
doaj +1 more source