Results 31 to 40 of about 52,951 (307)
Probability density estimation from optimally condensed data samples [PDF]
, 2003 The requirement to reduce the computational cost of evaluating a point probability density estimate when employing a Parzen window estimator is a well-known problem.
Chao, H., Girolami, M.
core +1 more source
A combined strategy for multivariate density estimation [PDF]
Journal of Nonparametric Statistics, 2021 Non-linear aggregation strategies have recently been proposed in response to the problem of how to combine, in a non-linear way, estimators of the regression function (see for instance \cite{biau:16}), classification rules (see \cite{ch:16}), among others.
Cholaquidis, Alejandro +3 more
openaire +2 more sources
Using conditional kernel density estimation for wind power density forecasting [PDF]
, 2012 Of the various renewable energy resources, wind power is widely recognized as one of the most promising. The management of wind farms and electricity systems can benefit greatly from the availability of estimates of the probability distribution of wind ...
Jeon, Jooyoung +3 more
core +1 more source
Mathematics, 2020 A maximum-likelihood estimation of a multivariate mixture model’s parameters is a difficult problem. One approach is to combine the REBMIX and EM algorithms.
Branislav Panić +2 more
doaj +1 more source
Probability density estimation using data projection
Lietuvos Matematikos Rinkinys, 2009 Nonparametric estimation of multivariate multimodal probability density is analysed. The projection pursuit density estimator was proposed by J.H. Friedman.
Mindaugas Kavaliauskas
doaj +1 more source
An Improved Variable Kernel Density Estimator Based on L2 Regularization
Mathematics, 2021 The nature of the kernel density estimator (KDE) is to find the underlying probability density function (p.d.f) for a given dataset. The key to training the KDE is to determine the optimal bandwidth or Parzen window.
Yi Jin, Yulin He, Defa Huang
doaj +1 more source
Molecular Oncology, EarlyView.This study shows that lung adenocarcinomas exploit developmental branching morphogenesis to acquire a therapy resistant basal‐like tumour cell state. This process was found to be regulated by combined TP53 loss‐of‐function and type‐I interferon signalling, identifying a novel axis for biomarker and therapeutic target discovery.
Kamila J Bienkowska +13 more
wiley +1 more source
Cogent Engineering, 2019 The multivariate control charts are not only used to monitor the mean vector but also can be used to monitor the covariance matrix. The multivariate variability charts are used to guarantee the consistency of products in the subgroup.
Muhammad Mashuri +5 more
doaj +1 more source
Application of Clustering in the Non-Parametric Estimation of Distribution Density
Nonlinear Analysis, 2006 This paper discusses a multimodal density function estimation problem of a random vector. A comparative accuracy analysis of some popular non-parametric estimators is made by using the Monte-Carlo method.
T. Ruzgas, R. Rudzkis, M. Kavaliauskas
doaj +1 more source
IEEE Access, 2020 Stock price manipulation uses illegitimate means to artificially influence market prices of several stocks. It causes massive losses and undermines investors' confidence and the integrity of the stock market.
Baqar Rizvi +3 more
doaj +1 more source