Results 31 to 40 of about 242 (52)
Recursive kernel density estimators under missing data
, 2016 In this paper we propose an automatic bandwidth selection of the recursive kernel density estimators with missing data in the context of global and local density estimation.
Slaoui, Yousri
core +3 more sources
The notion of breakdown point was introduced by Hampel (1968, 1971) and has since played an important role in the theory and practice of robust statistics.
Davies, P. Laurie, Gather, Ursula
core
Least orthogonal absolute deviations problem for generalized logistic function [PDF]
, 1997 We consider the existence of optimal parameters for generalized logistic model by least orthogonal absolute deviations, and prove the existence of such optimal solution, under the monotonicity condition on the ...
T. Marošević
core +1 more source
Fitting affine and orthogonal transformations between two sets of points [PDF]
, 2004 Let two point sets P and Q be given in $R^n$. We determine a translation and an affine transformation or an isometry such that the image of Q approximates P as best as possible in the least squares ...
H. Späth
core
Least squares fitting of conic sections with type identification by NURBS of degree two [PDF]
, 1999 Fitting of conic sections is used in reflectometry, aircraft industry, metrology, computer vision, astronomy and propagation of sound waves [5]. So far numerical algorithms assume the type of the conic section to be known in advance.
H. Späth, I. Seufer
core
Sparse approximation of multilinear problems with applications to kernel-based methods in UQ
, 2017 We provide a framework for the sparse approximation of multilinear problems and show that several problems in uncertainty quantification fit within this framework.
Nobile, Fabio +2 more
core +1 more source
, 2006 Given a non-uniform criss-cross partition of a rectangular domain $\Omega$, we analyse the error between a function $f$ defined on $\Omega$ and two types of $C^1$-quadratic spline quasi-interpolants (QIs) obtained as linear combinations of B-splines with
Dagnino, Catterina, Sablonnière, Paul
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Shape restricted regression with random Bernstein polynomials
, 2007 Shape restricted regressions, including isotonic regression and concave regression as special cases, are studied using priors on Bernstein polynomials and Markov chain Monte Carlo methods.
Chang, I-Shou +4 more
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Two new nonparametric kernel distribution estimators based on a transformation of the data. [PDF]
J Appl Stat, 2021 Slaoui Y.
europepmc +1 more source
R 0 estimation for COVID-19 pandemic through exponential fit. [PDF]
Math Methods Appl Sci, 2022 Mingliang Z, Simos TE, Tsitouras C.
europepmc +1 more source