Results 141 to 150 of about 676,778 (198)

Spatial joint modelling of multivariate longitudinal outcomes and cure proportion using latent Gaussian model with application to dataset on HIV/AIDS patients. [PDF]

Sci Rep
Ekong AH, Olayiwola OM, Dawodu GA, Osinuga IA.   +3 more
europepmc   +1 more source

PolyAseqTrap: a universal tool for genome-wide identification and quantification of polyadenylation sites from different 3' end sequencing data. [PDF]

Genome Biol
Ye W, Cheng X, Bi X, Wu X.
europepmc   +1 more source

Agency of schoolchildren: dataset collected using a new comprehensive multidomain tool. [PDF]

Front Psychol
Sorokin P, Goshin M, Grigoryev D, Krasnova T.   +3 more
europepmc   +1 more source

Investigating the Frequency and Outcome of Central Vein Sign and Paramagnetic Rim Lesions in Children With MOGAD. [PDF]

Neurology
Nistri R, Cacciaguerra L, Sacco S, Virupakshaiah A, De Meo E, Papinutto N, Henry RG, Meirson H, Hemingway C, Rossor T, Wassmer E, Bensira L, Pratt LT, Biswas A, Sudhakar S, Mankad K, Chen JJ, Pittock SJ, Barkhof F, Ciccarelli O, Waubant E, Flanagan EP, Hacohen Y.   +22 more
europepmc   +1 more source

Inequalities in access and experience of primary care following ‘top-up’ payments to practices: a retrospective observational study

Whitfield E, Tracey F, Opie-Martin S, Beech J, Pettigrew LM, Clarke JM, Lloyd T.   +6 more
europepmc   +1 more source

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On the weighting method for mixed least squares–total least squares problems

Numerical Linear Algebra with Applications, 2017
SummaryIt is well known that the standard algorithm for the mixed least squares–total least squares (MTLS) problem uses the QR factorization to reduce the original problem into a standard total least squares problem with smaller size, which can be solved based on the singular value decomposition (SVD).
Qiaohua Liu, Minghui Wang
openaire   +1 more source

Weight coefficients in the weighted least squares method

Numerical Analysis and Applications, 2015
Summary: We consider a problem of estimating some parameters of linear mathematical models. It is found that by choosing weight coefficients in the least squares method, one can obtain solutions by minimizing any penalty functions of a wide class, including Hölder norms.
Bychkov, I. V., Zorkal'tsev, V. I., Kazazaeva, A. V.   +2 more
openaire   +2 more sources

Learning-based local weighted least squares for algebraic multigrid method

Journal of Computational Physics, 2022
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Fan Wang, Xiang Gu, Jian Sun, Zongben Xu
openaire   +1 more source