Fractal Perturbation of the Nadaraya–Watson Estimator
Fractal and Fractional, 2022 One of the main tasks in the problems of machine learning and curve fitting is to develop suitable models for given data sets. It requires to generate a function to approximate the data arising from some unknown function.
Dah-Chin Luor
exaly +3 more sources
Application of the Nadaraya-Watson estimator based attention mechanism to the field of predictive maintenance [PDF]
MethodsXAttention mechanism has recently gained immense importance in the natural language processing (NLP) world. This technique highlights parts of the input text that the NLP task (such as translation) must pay “attention” to.
Rajesh Siraskar +4 more
doaj +2 more sources
Heterogeneous Treatment Effect with Trained Kernels of the Nadaraya–Watson Regression
Algorithms, 2023 A new method for estimating the conditional average treatment effect is proposed in this paper. It is called TNW-CATE (the Trainable Nadaraya–Watson regression for CATE) and based on the assumption that the number of controls is rather large and the ...
Andrei Konstantinov +2 more
exaly +3 more sources
Nonparametric Expectile Shortfall Regression for Complex Functional Structure [PDF]
EntropyThis paper treats the problem of risk management through a new conditional expected shortfall function. The new risk metric is defined by the expectile as the shortfall threshold.
Mohammed B. Alamari +3 more
doaj +2 more sources
Inverse-Probability-Weighted Wavelet Estimation of Regression Derivatives Under Missing-at-Random Responses for Stationary Ergodic Processes [PDF]
EntropyWe consider the estimation of partial derivatives of multivariate regression-type functionals from incomplete observations generated by a discrete-time strictly stationary ergodic process.
Salim Bouzebda, Sultana Didi
doaj +2 more sources
Application of non-parametric models for analyzing survival data of COVID-19 patients [PDF]
Journal of Infection and Public Health, 2021 Background: COVID-19 Coronavirus variants are emerging across the globe causing ongoing pandemics. It is important to estimate the case fatality ratio (CFR) during such an epidemic of a potentially fatal disease. Methods: Firstly, we have performed a non-
Sarada Ghosh +2 more
doaj +2 more sources
Modification of the adaptive Nadaraya-Watson kernel regression estimator [PDF]
Scientific Research and Essays, 2014 Nadaraya-Watson (NW) kernel regression estimator is a widely used and flexible nonparametric estimator of a regression function, which is often obtained by using a fixed bandwidth. Several studies showed that the adaptive kernel estimators with varying bandwidths have better performance results.
Hamed Aljuhani Khulood +1 more
exaly +2 more sources
A note on unconditional properties of a parametrically guided Nadaraya-Watson estimator [PDF]
Statistics and Probability Letters, 1998 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
exaly +3 more sources
On a Nadaraya-Watson estimator with two bandwidths [PDF]
Electronic Journal of Statistics, 2021 In a regression model, we write the Nadaraya-Watson estimator of the regression function as the quotient of two kernel estimators, and propose a bandwidth selection method for both the numerator and the denominator. We prove risk bounds for both data driven estimators and for the resulting ratio.
Comte, Fabienne, Marie, Nicolas
openaire +3 more sources
Barekeng, 2022 ISSI reflects the movement of sharia stock prices as a whole. It is necessary to forecast the share price to help investors determine whether the shares should be sold, bought, or retained. This study aims to predict the value of ISSI using nonparametric
Yuniar Farida +2 more
doaj +1 more source