Results 11 to 20 of about 936 (117)
Complete consistency for the estimator of nonparametric regression model based on m-END errors
Open Mathematics, 2021 In this paper, we study the complete consistency for the estimator of nonparametric regression model based on m-END errors and obtain the convergence rates of the complete consistency under more general conditions.
Zhang Shui-Li, Hou Tiantian, Qu Cong
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Simultaneous Inference For The Mean Function Based on Dense Functional Data. [PDF]
J Nonparametr Stat, 2012 Cao G, Yang L, Todem D.
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On the use of L-functionals in regression models
Open Mathematics, 2023 In this article, we survey and unify a large class or LL-functionals of the conditional distribution of the response variable in regression models.
Hössjer Ola, Karlsson Måns
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Majalah Ilmiah Matematika dan Statistika, 2022 Tuberculosis is a bacterial infection caused by Mycobacterium tuberculosis. Transmission of tuberculosis (TBC) can occur due to environmental factors and community behavior. West Java is Indonesia's province with the highest number of tuberculosis cases.
Niken Evitasari +2 more
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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
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Regression rank scores in nonlinear models [PDF]
, 2008 Consider the nonlinear regression model $Y_i=g({\bf x}_i,\boldmath $\theta$)+e_i,\quad i=1,...,n$(1) with ${\bf x}_i\in \mathbb{R}^k,$ $\boldmath{\theta}=(\theta_0,\theta_1,...,\theta_p)^{\prime}\in \boldmath $\Theta$$ (compact in $\mathbb{R}^{p+1 ...
Jurečková, Jana
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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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Nonparametric estimation of the volatility function in a high-frequency model corrupted by noise [PDF]
, 2010 We consider the models Y_{i,n}=\int_0^{i/n} \sigma(s)dW_s+\tau(i/n)\epsilon_{i,n}, and \tilde Y_{i,n}=\sigma(i/n)W_{i/n}+\tau(i/n)\epsilon_{i,n}, i=1,...,n, where W_t denotes a standard Brownian motion and \epsilon_{i,n} are centered i.i.d.
Munk, Axel, Schmidt-Hieber, Johannes
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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
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Lower bounds for volatility estimation in microstructure noise models [PDF]
, 2010 In this paper we derive lower bounds in minimax sense for estimation of the instantaneous volatility if the diffusion type part cannot be observed directly but under some additional Gaussian noise. Three different models are considered.
Munk, Axel, Schmidt-Hieber, Johannes
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