Results 31 to 40 of about 2,015,824 (285)
Bayesian least squares deconvolution
, 2015 Aims. To develop a fully Bayesian least squares deconvolution (LSD) that can be applied to the reliable detection of magnetic signals in noise-limited stellar spectropolarimetric observations using multiline techniques. Methods. We consider LSD under the
Petit, P., Ramos, A. Asensio
core +1 more source
Least squares approximations of power series
International Journal of Mathematics and Mathematical Sciences, 2006 The classical least squares solutions in C[−1,1] in terms of linear combinations of ultraspherical polynomials are extended in order to estimate power series on (−1,1). Approximate rates of uniform and pointwise convergence are obtained, which correspond
James Guyker
doaj +1 more source
Least Squares Generative Adversarial Networks-Based Anomaly Detection
IEEE Access, 2022 Multivariate statistical process control (MSPC) is a technique for detecting anomalies by monitoring several quality characteristics simultaneously. For the MSPC problem, the Hotelling’s $T^{2}$ control chart has been widely used as a typical ...
Chang-Ki Lee +2 more
doaj +1 more source
Geodesic least squares regression on information manifolds [PDF]
, 2014 We present a novel regression method targeted at situations with significant uncertainty on both the dependent and independent variables or with non-Gaussian distribution models.
Verdoolaege, Geert
core +2 more sources
Deformation analysis with Total Least Squares [PDF]
Natural Hazards and Earth System Sciences, 2006 Deformation analysis is one of the main research fields in geodesy. Deformation analysis process comprises measurement and analysis phases. Measurements can be collected using several techniques. The output of the evaluation of the measurements is mainly
M. Acar +4 more
doaj
On weighted structured total least squares
, 2006 In this contribution we extend the result of (Markovsky et. al, SIAM J. of Matrix Anal. and Appl., 2005) to the case of weighted cost function. It is shown that the computational complexity of the proposed algorithm is preserved linear in the sample size
G. Golub +4 more
core +1 more source
Robust linear least squares regression [PDF]
, 2011 We consider the problem of robustly predicting as well as the best linear combination of $d$ given functions in least squares regression, and variants of this problem including constraints on the parameters of the linear combination.
Audibert, Jean-Yves, Catoni, Olivier
core +6 more sources
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Transfusion‐related iron overload (TRIO) is a late effect of therapy impacting survivors of childhood cancer and hematopoietic stem cell transplantation (HSCT) who receive frequent packed red blood cell (pRBC) transfusions. Surprisingly, there are no accepted guidelines to assist providers in identifying and treating at‐risk ...
Luke Gingell +3 more
wiley +1 more source
Least Squares Two-Point Function Estimation
, 2018 The standard estimator for the two-point function of a homogeneous and isotropic random field is a special case of a larger class of least squares estimators that interpolate the function values. Using a different interpolation scheme, two-point function
Tessore, Nicolas
core +1 more source
Mapping the evolution of mitochondrial complex I through structural variation
FEBS Letters, EarlyView.Respiratory complex I (CI) is crucial for bioenergetic metabolism in many prokaryotes and eukaryotes. It is composed of a conserved set of core subunits and additional accessory subunits that vary depending on the organism. Here, we categorize CI subunits from available structures to map the evolution of CI across eukaryotes. Respiratory complex I (CI)
Dong‐Woo Shin +2 more
wiley +1 more source