Results 91 to 100 of about 501,333 (190)

A Bistochastic Nonparametric Estimator [PDF]

We explore the relevance of adopting a bistochastic nonparametric estimator. This estimator has two main implications. First, the estimator reduces variability according to the robust criterion of second-order stochastic (and Lorenz) dominance. This is a
Rafael Salas, Juan Gabriel Rodríguez
core  

Survival Analysis as Imprecise Classification with Trainable Kernels

Mathematics
Survival analysis is a fundamental tool for modeling time-to-event data in healthcare, engineering, and finance, where censored observations pose significant challenges.
Andrei Konstantinov, Lev Utkin, Vlada Efremenko, Vladimir Muliukha, Alexey Lukashin, Natalya Verbova   +5 more
doaj   +1 more source

Predictive nonparametric statistical modeling of MOF thermal stability using the Nadaraya–Watson machine learning approach

Franklin Open
This study explores the application of Nadaraya-Watson Kernel Regression, a nonparametric statistical estimator within a machine learning (ML) framework, to model the thermal stability of Metal-Organic Frameworks (MOF) based on their structural ...
Harun Al Azies, Muhamad Akrom, Supriadi Rustad, Hermawan Kresno Dipojono, Mohammad Kemal Agusta, Ganes Shukri, Ayu Febriana Dwi Rositawati   +6 more
doaj   +1 more source

Bootstrap variance estimation for Nadaraya quantile estimator [PDF]

, 2009
Nadaraya quantile estimator, Order-calibration, Smoothed bootstrap, 62G05, 62G09, 62G30,
Cheung, KY, K. Y. Cheung, K. Cheung, Lee, SMS, Stephen Lee, Stephen M. S. Lee   +5 more
core   +1 more source

Nadaraya-Watson Density Estimation for Interval Censored Data

, 2007
This paper is concerned with the nonparametric estimation of a density function when the data are incomplete due to interval censoring.
Stoimenova, E.
core   +1 more source

BENK: The Beran Estimator with Neural Kernels for Estimating the Heterogeneous Treatment Effect

Algorithms
A method for estimating the conditional average treatment effect under the condition of censored time-to-event data, called BENK (the Beran Estimator with Neural Kernels), is proposed.
Stanislav Kirpichenko, Lev Utkin, Andrei Konstantinov, Vladimir Muliukha   +3 more
doaj   +1 more source

Nadaraya-Watson estimation of a nonparametric autoregressive model

Malaya Journal of Matematik, 2021
Ben Célestin KOUASSI, Ouagnina Hili, Edoh KATCHEKPELE   +2 more
openaire   +2 more sources

The Graphical Nadaraya-Watson Estimator in Latent Position Models

, 2023
Given a graph with a subset of labeled nodes, we are interested in the quality of the averaging estimator which for an unlabeled node predicts the average of the observations of its labeled neighbours. We rigorously study concentration properties, variance bounds and risk bounds in this context. While the estimator itself is very simple we believe that
Gjorgjevski, Martin, Keriven, Nicolas, Barthelme, Simon, de Castro, Yohann   +3 more
openaire   +1 more source

Weighted Nadaraya-Watson regression estimation

In this article, we study nonparametric estimation of regression function by using the weighted Nadaraya-Watson approach. We establish the asymptotic normality and weak consistency of the resulting estimator for [alpha]-mixing time series at both ...
Cai, Zongwu
core  

Modelling the Volatility of the USD/KES Exchange Rate Using the Nadaraya-watson Kernel Regression Estimator

Exchange rate volatility poses significant challenges for economic planning, risk management, and policy formulation in emerging economies such as Kenya.
Martin Kithinji, Mary Wanjohi, Josephine Ngure   +2 more
core   +1 more source