Results 91 to 100 of about 2,627,626 (274)

The multivariate least trimmed squares estimator. [PDF]

In this paper we introduce the least trimmed squares estimator for multivariate regression. We give three equivalent formulations of the estimator and obtain its breakdown point. A fast algorithm for its computation is proposed.
Croux, Christophe, Agullo, J, Van Aelst, S   +2 more
core  

A Pan‐Methylome Framework for Population‐Scale Bacterial Epigenomics

Advanced Science, EarlyView.
A scalable quantitative framework unlocks population‐level comparative epigenomics in bacteria. By transforming site‐level data into standardized traits, this approach reconstructs methylation‐informed phylogenies and defines the core epigenome.
Bin Ma, Huimin Gong, Ran Zhuo, Zaixiao Rao, Yanxi Wan, Mingyang Wang, Zahra Zeinalzadeh, Yuan Gao, Aohan Guan, Xinrun Li, Wanting Chen, Xiliang Wang, Yun Wan, Sihua Zhang, Yuncai Xiao, Qi Huang, Paul R. Langford, Xiangru Wang, Rui Zhou, Rui Luo, Hongbo Zhou, Chengliang Zhu, Hui Jin   +22 more
wiley   +1 more source

On the computation of the structured total least squares estimator

, 2004
A class of structured total least squares problems is considered, in which the extended data matrix is partitioned into blocks and each of the blocks is (block) Toeplitz/Hankel structured, unstructured, or noise free.
Van Huffel, S., Kukush, A., Markovsky, I.   +2 more
core   +1 more source

Mammalian Eye Gene Expression Using Support Vector Regression to Evaluate a Strategy for Detecting Human Eye Disease

علوم بهداشتی ایران, 2022
Background and purpose: Machine learning is a class of modern and strong tools that can solve many important problems that nowadays humans may be faced with.
Mahdi Roozbeh, Monireh Maanavi
doaj  

Generalized Methods of Trimmed Moments [PDF]

High breakdown-point regression estimators protect against large errors and data contamination. We adapt and generalize the concept of trimming used by many of these robust estimators so that it can be employed in the context of the generalized method of
Cizek, P.
core  

Subversion of Atypical Mucin Traps by a Spore‐Coat Effector Blocks Cellular Immunity in Drosophila

Advanced Science, EarlyView.
While the entomopathogenic fungus Metarhizium robertsii can evade insect humoral immunity, its subversion of cellular defenses is still elusive. We identify Eac1 as a spore‐coat protein essential for infecting drosophilids by targeting atypical mucins (Sgf1 and Sgf2), which can entrap spores in a gel matrix and thereby facilitate hemocyte encapsulation.
Shiqin Li, Haimin Chen, Gangqi Fang, Dongxiang Wei, Hongyun Wu, Chen Chen, Song Hong, Chengshu Wang   +7 more
wiley   +1 more source

Robust high-dimensional semiparametric regression using optimized differencing method applied to the vitamin B2 production data

علوم بهداشتی ایران, 2020
Background and purpose: By evolving science, knowledge, and technology, we deal with high-dimensional data in which the number of predictors may considerably exceed the sample size.
Mahdi Roozbeh, Monireh Maanavi, Saman Babaie-Kafaki   +2 more
doaj  

- LEAST SQUARES ESTIMATES SYMETRICALLY ADJUSTED WITH NO LOSS OF INFORMATION IN THE TRUNCATED TOBIT MODEL [PDF]

The objective of this paper is to improve the estimator of Powell (1986) in the truncated Tobit model. The Powell estimator is the least squares alternative to the maximum likelihood estimator for the Tobit model. Only symmetry of the distribution of the
María Luisa Moltó Carbonell, María Consuelo Colom, Ezequiel Uriel Jiménez, María Cruz Molés   +3 more
core  

Herbicide Metabolic Resistance in Poaceae Plants via the GA‐GID1/DELLA‐DOF2‐P450s Module

Advanced Science, EarlyView.
Plant hormone signaling modulates herbicide resistance in Echinochloa crus‐galli. The GA–DELLA–DOF2 cascade directly activates P450 detoxification genes in two Poaceae species, uncovering a core mechanism of metabolic herbicide resistance. ABSTRACT Barnyard grass (Echinochloa crus‐galli) is one of the world's most important weeds, and the evolution of ...
Junzhi Wang, Jiale Qi, Lin Wei, Qin Yu, Zhongyuan Liu, Lianyang Bai, Lang Pan   +6 more
wiley   +1 more source

Local Regularization Assisted Orthogonal Least Squares Regression

, 2006
A locally regularized orthogonal least squares (LROLS) algorithm is proposed for constructing parsimonious or sparse regression models that generalize well.
Chen, S.
core   +1 more source