Results 61 to 70 of about 52,951 (307)
A forward-constrained regression algorithm for sparse kernel density estimation [PDF]
Using the classical Parzen window (PW) estimate as the target function, the sparse kernel density estimator is constructed in a forward-constrained regression (FCR) manner. The proposed algorithm selects significant kernels one at a time, while the leave-
Harris, C. J. +8 more
core +1 more source
Transformation-based nonparametric estimation of multivariate densities
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Meng-Shiuh Chang, Ximing Wu
openaire +1 more source
Objective Clinical response to mycophenolic acid (MPA) is highly heterogeneous; thus, therapeutic drug level monitoring (TDM) may help improve treatment efficacy. This systematic review and meta‐analysis examined therapeutic ranges for MPA levels associated with better outcomes and safety in patients with systemic lupus erythematosus (SLE ...
Zahraa Qamhieh +5 more
wiley +1 more source
The integrative analysis of copy number alteration (CNA) and gene expression (GE) is an essential part of cancer research considering the impact of CNAs on cancer progression and prognosis.
Seong Beom Cho
doaj +1 more source
Objective This study aimed to characterize cannabis product choices (cannabinoid content and formulation) among patients with rheumatologic conditions and their associations with patient factors, patient‐reported perceived side effects, and positive impacts.
Susan Zhang +10 more
wiley +1 more source
Multimodal Data‐Driven Microstructure Characterization
A self‐consistent autonomous workflow for EBSP‐based microstructure segmentation by integrating PCA, GMM clustering, and cNMF with information‐theoretic parameter selection, requiring no user input. An optimal ROI size related to characteristic grain size is identified.
Qi Zhang +4 more
wiley +1 more source
On $L_p$-Norms of Multivariate Density Estimators
With \(n\) independent, identically distributed bivariate random vectors with distribution function \(F\) and density function \(f\), the authors consider kernel density estimators defined by \[ \bigl(nh^ 2(n)\bigr)^{-1}\sum_{1\leq i\leq n} K\bigl((t-X_ i)/h(n)\bigr), \] where \(K\) is a bivariate function satisfying certain regularity conditions and \(
openaire +2 more sources
Nonparametric estimation of multivariate convex-transformed densities
Published in at http://dx.doi.org/10.1214/10-AOS840 the Annals of Statistics (http://www.imstat.org/aos/) by the Institute of Mathematical Statistics (http://www.imstat.org)
Seregin, Arseni, Wellner, Jon A.
openaire +5 more sources
Semi- and Nonparametric ARCH Processes
ARCH/GARCH modelling has been successfully applied in empirical finance for many years. This paper surveys the semiparametric and nonparametric methods in univariate and multivariate ARCH/GARCH models.
Oliver B. Linton, Yang Yan
doaj +1 more source
Pointwise Improvement of Multivariate Kernel Density Estimates
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Abdous, Belkacem, Berlinet, Alain
openaire +1 more source

