Results 31 to 40 of about 14,389 (265)

Large and moderate deviation principles for nonparametric recursive kernel distribution estimators defined by stochastic approximation method [PDF]

Opuscula Mathematica, 2019
In this paper we prove large and moderate deviations principles for the recursive kernel estimators of a distribution function defined by the stochastic approximation algorithm. We show that the estimator constructed using the stepsize which minimize the
Yousri Slaoui
doaj   +1 more source

A Fast-Converging Kernel Density Estimator for Dispersion in Horizontally Homogeneous Meteorological Conditions

Atmosphere, 2021
Kernel smoothers are often used in Lagrangian particle dispersion simulations to estimate the concentration distribution of tracer gasses, pollutants etc.
Gunther Bijloos, Johan Meyers
doaj   +1 more source

Kernel Estimation of Relative Risk [PDF]

Bernoulli, 1995
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Kelsall, Julia E., Diggle, Peter J.
openaire   +3 more sources

A Criterion for the Fuzzy Set Estimation of the Regression Function

Journal of Probability and Statistics, 2012
We propose a criterion to estimate the regression function by means of a nonparametric and fuzzy set estimator of the Nadaraya-Watson type, for independent pairs of data, obtaining a reduction of the integrated mean square error of the fuzzy set ...
Jesús A. Fajardo
doaj   +1 more source

The uniformly strong consistency of kernel-type distribution estimator under asymptotically almost negatively associated samples

Statistical Theory and Related Fields
This paper studies the kernel-type distribution estimator based on asymptotically almost negatively associated (AANA, for short) samples. The rate of uniformly strong consistency is established under some mild conditions.
Shipeng Wu, Yi Wu, Wenzhi Yang, Xuejun Wang   +3 more
doaj   +1 more source

Kernel Density Estimation in the Study of Star Clusters

Open Astronomy, 2016
The kernel estimator method is used to evaluate the surface and spatial star number density in star clusters. Both density maps and radial density profiles are plotted.
Seleznev Anton F.
doaj   +1 more source

PENDEKATAN REGRESI NONPARAMETRIK DENGAN MENGGUNAKAN ESTIMATOR KERNEL PADA DATA KURS RUPIAH TERHADAP DOLAR AMERIKA SERIKAT

E-Jurnal Matematika, 2018
Nonparametric regression can be applied for some data types one of them is time series data. The technique of this method is called smoothing technique.
DEWA AYU DWI ASTUTI, I GUSTI AYU MADE SRINADI, MADE SUSILAWATI   +2 more
doaj   +1 more source

Nonparametric Regression with Common Shocks

Econometrics, 2016
This paper considers a nonparametric regression model for cross-sectional data in the presence of common shocks. Common shocks are allowed to be very general in nature; they do not need to be finite dimensional with a known (small) number of factors.
Eduardo A. Souza-Rodrigues
doaj   +1 more source

Rate of complete second-order moment convergence and theoretical applications

Journal of Taibah University for Science, 2022
The purpose of this work is to present a novel mode of convergence, complete second-order moment convergence with rate, which implies almost complete convergence and gives a smaller rate of convergence.
M. Madi, I. Laroussi
doaj   +1 more source

UiO‐66 metal–organic frameworks in biomedicine: From structural tunability to bioimaging, photodiagnostics, and photodynamic cancer therapy

FEBS Open Bio, EarlyView.
UiO‐66(Zr) metal–organic frameworks are chemically stable, biocompatible, and highly tunable nanomaterials. Their modular structure enables controlled drug delivery, multimodal bioimaging, and light‐activated photodynamic therapy, supporting integrated diagnostic and therapeutic (theranostic) applications in cancer and biomedical research.
Veronika Huntošová, Grigorii Rakhalskii, Miroslav Almáši   +2 more
wiley   +1 more source