Results 71 to 80 of about 14,389 (265)
Advanced Healthcare Materials, EarlyView.ABSTRACT Quantitative characterization of vascular heterogeneity in complex microphysiological systems (MPS), particularly within patient‐derived tumor microenvironments, remains a major challenge for scalable disease modeling and therapeutic evaluation.
Jungseub Lee +9 more
wiley +1 more source
Small-Sample Comparison of the Gamma Kernel and the Orthogonal Series Methods of Density Estimation
پژوهشهای ریاضی, 2020 Introduction Estimation of a probability density function is an important area of nonparametric statistical inference that has received much attention in recent decades.
Muhyiddin Izadi, Abdollah Jalilian
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Estimating the Structural Distribution Function of Cell Probabilities
Austrian Journal of Statistics, 2016 We consider estimation of the structural distribution function of the cell probabilities of a multinomial sample in situations where the number of cells is large.
Bert van Es +2 more
doaj +1 more source
Advanced Materials, EarlyView.AI‐Assisted Workflow for (Scanning) Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling. Abstract (Scanning) transmission electron microscopy ((S)TEM) has significantly advanced materials science but faces challenges in correlating precise atomic structure information with the functional properties of ...
Marc Botifoll +19 more
wiley +1 more source
Estimation of Star-Shaped Distributions
Risks, 2016 Scatter plots of multivariate data sets motivate modeling of star-shaped distributions beyond elliptically contoured ones. We study properties of estimators for the density generator function, the star-generalized radius distribution and the density in a
Eckhard Liebscher, Wolf-Dieter Richter
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On the nonparametric estimation of the functional expectile regression
Comptes Rendus. Mathématique, 2020 In this note, we investigate the kernel-type estimator of the nonparametric expectile regression model for functional data. More precisely, we establish the almost complete convergence rate of this estimator under some mild conditions.
Mohammedi, Mustapha +2 more
doaj +1 more source
, 2002 We consider the learning problem of finding a dependency between a general class of objects and another, possibly different, general class of objects. The objects can be for example: vectors, images, strings, trees or graphs. Such a task is made possible by employing similarity measures in both input and output spaces using kernel functions, thus ...
Weston, J. +4 more
openaire +3 more sources
Calculation and estimation of the Poisson kernel
Journal of Mathematical Analysis and Applications, 2005 We provide a simple method for obtain boundary asymptotics of the Poisson kernel on a domain in $\RR^N$.
openaire +2 more sources
Flexoelectrically Induced Polar Topology in Twisted SrTiO3 Membranes
Advanced Materials, EarlyView.Twisted SrTiO3 bilayers host polar vortices of flexoelectric origin, revealed through combined experiment and theory. By reconstructing polarization from the toroidal moment of strain gradients, the work establishes a 3D chiral state with broken inversion and mirror symmetries.
Isabel Tenreiro +13 more
wiley +1 more source
BIAS REDUCTION IN KERNEL ESTIMATOR OF DENSITY FUNCTION IN BOUNDARY REGION
Quantitative Methods in Economics, 2015 The properties of the classical kernel estimator of density function deteriorate when the support of density function is bounded. The use of classical form of kernel estimator causes the increase of the bias estimator, particularly in the so-called ...
Aleksandra Baszczyńska
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