Results 11 to 20 of about 92 (91)

Asymptotic normality of the relative error regression function estimator for censored and time series data

open access: yesDependence Modeling, 2021
Consider a survival time study, where a sequence of possibly censored failure times is observed with d-dimensional covariate The main goal of this article is to establish the asymptotic normality of the kernel estimator of the relative error regression ...
Bouhadjera Feriel, Saïd Elias Ould
doaj   +1 more source

Heterogeneous interventional effects with multiple mediators: Semiparametric and nonparametric approaches

open access: yesJournal of Causal Inference, 2023
We propose semiparametric and nonparametric methods to estimate conditional interventional indirect effects in the setting of two discrete mediators whose causal ordering is unknown. Average interventional indirect effects have been shown to decompose an
Rubinstein Max   +2 more
doaj   +1 more source

Nonparametric inference for interventional effects with multiple mediators

open access: yesJournal of Causal Inference, 2021
Understanding the pathways whereby an intervention has an effect on an outcome is a common scientific goal. A rich body of literature provides various decompositions of the total intervention effect into pathway-specific effects.
Benkeser David, Ran Jialu
doaj   +1 more source

Instrumental variable regression via kernel maximum moment loss

open access: yesJournal of Causal Inference, 2023
We investigate a simple objective for nonlinear instrumental variable (IV) regression based on a kernelized conditional moment restriction known as a maximum moment restriction (MMR).
Zhang Rui   +3 more
doaj   +1 more source

Nonparametric C- and D-vine-based quantile regression

open access: yesDependence Modeling, 2022
Quantile regression is a field with steadily growing importance in statistical modeling. It is a complementary method to linear regression, since computing a range of conditional quantile functions provides more accurate modeling of the stochastic ...
Tepegjozova Marija   +3 more
doaj   +1 more source

Complete consistency for the estimator of nonparametric regression model based on m-END errors

open access: yesOpen 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
doaj   +1 more source

On the use of L-functionals in regression models

open access: yesOpen 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
doaj   +1 more source

Pemodelan faktor-faktor yang memengaruhi angka kesembuhan tuberkulosis di Jawa Barat menggunakan regresi spline truncated

open access: yesMajalah 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
doaj   +1 more source

Difference-based ridge estimator of parameters in partial linear model [PDF]

open access: yes, 2010
Differencing estimator, Differencing matrix, Multicollinearity, Ridge regression estimator, 62G08, 62J07,
Gülin Tabakan   +5 more
core   +1 more source

Pricing Bermudan options by nonparametric regression: optimal rates of convergence for lower estimates [PDF]

open access: yes, 2010
Bermudan options, Nonparametric regression, Boundary condition, Suboptimal stopping rules, 62G08, 65C05, 60G40, G10, G12, G13,
Denis Belomestny, Belomestny, Denis
core   +1 more source

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