Results 91 to 100 of about 1,708 (192)

Limit Theorems in the Nonparametric Conditional Single-Index U-Processes for Locally Stationary Functional Random Fields under Stochastic Sampling Design

Mathematics
In his work published in (Ann. Probab. 19, No. 2 (1991), 812–825), W. Stute introduced the notion of conditional U-statistics, expanding upon the Nadaraya–Watson estimates used for regression functions.
Salim Bouzebda
doaj   +1 more source

Modeling the cell-type-specific mesoscale murine connectome with anterograde tracing experiments. [PDF]

Netw Neurosci, 2023
Koelle S, Mastrovito D, Whitesell JD, Hirokawa KE, Zeng H, Meila M, Harris JA, Mihalas S.   +7 more
europepmc   +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

Is the Pain killing you? Could Pain interference be a warning signal for midlife mortality? [PDF]

SSM Popul Health, 2023
Glei DA, Weinstein M.
europepmc   +1 more source

Asymptotic unbiased density estimator

, 2009
International audienceThis paper introduces a computationally tractable density estimator that has the same asymptotic variance as the classical Nadaraya-Watson density estimator but whose asymptotic bias is zero. We achieve this result using a two stage
Hengartner, Nicolas W., Matzner-Løber, Eric   +1 more
core   +1 more source

BIAS COMPARISON NADARAYA WATSON AND LOCALLY LINEAR KERNEL ESTIMATOR OF NONPARAMETRIC REGRESSION

, 2016
dth: 0px; "> Given a data set (xi , yi ) and connecting between xi and yi be assumed to follownonparametric regression model :yi  m(xi ) ï€«ï¥ i , i  1,2,...,n.Regresssion curve of m be assumed is an unknown form and ï¥ i , is an error term in ...
-, Zulfikar
core   +1 more source

Singular wavelets on a finite interval

Informatika, 2018
Nonparametric methods are used in complex cases where model information is insufficient. A new method of nonparametric approximation, the singular wavelet method, is developed.
V. M. Romanchak
doaj  

A comparison Study Between the Nadaraya-Watson and the Reweighted Nadaraya-Watson Estimators of the Regression Mean Function

, 2015
Nonparametric kernel estimators are widely used in regression estimation. One of the most important kernel estimators of the regression mean function is the Nadaraya-Watson estimator. Another estimator, which is called the Reweighted Nadaraya-Watson estimator has been proposed to improve the performance of the Nadaraya- Watson estimator. In this paper,
openaire  

ESTIMATOR NADARAYA-WATSON DENGAN FUNGSI KERNEL EPANECHNIKOV DAN FUNGSI KERNEL KUARTIK [PDF]

, 2019
Analisis regresi adalah alat analisis statistik yang digunakan untuk mengetahui hubungan antar variabel yaitu variabel dependen dengan variabel independen.
Ihya Ulinnuha, NIM.: 15610030
core  

Regresi Nonparametrik Kernel menggunakan Estimator Nadaraya-Watson dalam data Time Series: studi kasus: tingkat Suku Bunga, Kurs, Inflasi, jumlah uang beredar terhadap Indeks Saham Syariah Indonesia [PDF]

, 2019
ISSI merupakan cerminan pergerakan harga saham syariah secara keseluruhan. Untuk membantu investor dalam menentukan keputusan bahwa saham tersebut harus dijual, dibeli, atau dipertahankan maka diperlukan adanya prediksi harga saham syariah.
Purwanti, Ida
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