Results 31 to 40 of about 123,209 (248)

A New Ridge-Type Estimator for the Linear Regression Model: Simulations and Applications

Scientifica, 2020
The ridge regression-type (Hoerl and Kennard, 1970) and Liu-type (Liu, 1993) estimators are consistently attractive shrinkage methods to reduce the effects of multicollinearity for both linear and nonlinear regression models.
B. M. Golam Kibria, Adewale F. Lukman
doaj   +1 more source

Distributed state estimation in sensor networks with randomly occurring nonlinearities subject to time delays [PDF]

, 2012
This is the post-print version of the Article. The official published version can be accessed from the links below - Copyright @ 2012 ACM.This article is concerned with a new distributed state estimation problem for a class of dynamical systems in sensor
Cattivelli F. S., Cattivelli F. S., Cattivelli F. S., Kim J. H., Mao X., Naghshtabrizi P., Olfati-Saber R., Schuss Z.   +7 more
core   +1 more source

Zero-variance zero-bias quantum Monte Carlo estimators of the spherically and system-averaged pair density [PDF]

, 2007
We construct improved quantum Monte Carlo estimators for the spherically- and system-averaged electron pair density (i.e. the probability density of finding two electrons separated by a relative distance u), also known as the spherically-averaged ...
C. J. Umrigar, Julien Toulouse, Mercero J. M., Roland Assaraf   +3 more
core   +2 more sources

An integrated approach to global synchronization and state estimation for nonlinear singularly perturbed complex networks [PDF]

, 2015
This paper aims to establish a unified framework to handle both the exponential synchronization and state estimation problems for a class of nonlinear singularly perturbed complex networks (SPCNs).
Alsaadi, FE, Cai, C, Liu, X, Wang, Z, Xu, J   +4 more
core   +1 more source

The Generalized Spectral Kurtosis Estimator

, 2010
Due to its conceptual simplicity and its proven effectiveness in real-time detection and removal of radio frequency interference (RFI) from radio astronomy data, the Spectral Kurtosis (SK) estimator is likely to become a standard tool of a new generation
D. E. Gary, Dou, G. M. Nita, Gary, Kendall, Nita, Nita, Nita, Pearson   +8 more
core   +1 more source

In situ molecular organization and heterogeneity of the Legionella Dot/Icm T4SS

FEBS Letters, EarlyView.
We present a nearly complete in situ model of the Legionella Dot/Icm type IV secretion system, revealing its central secretion channel and identifying new components. Using cryo‐electron tomography with AI‐based modeling, our work highlights the structure, variability, and mechanism of this complex nanomachine, advancing understanding of bacterial ...
Przemysław Dutka, Yuxi Liu, Stefano Maggi, Debnath Ghosal, Jue Wang, Prashant P. Damke, Stephen D. Carter, Wei Zhao, Sukhithasri Vijayrajratnam, Joseph P. Vogel, Carrie L. Shaffer, Grant J. Jensen   +11 more
wiley   +1 more source

A New Liu Type of Estimator for the Restricted SUR Estimator

Journal of Modern Applied Statistical Methods, 2020
A new Liu type of estimator for the seemingly unrelated regression (SUR) models is proposed that may be used when estimating the parameters vector in the presence of multicollinearity if the it is suspected to belong to a linear subspace. The dispersion matrices and the mean squared error (MSE) are derived.
Kristofer Månsson, B. M. Golam Kibria, Ghazi Shukur   +2 more
openaire   +2 more sources

Linking neurogenesis, oligodendrogenesis, and myelination defects to neurodevelopmental disruption in primary mitochondrial disorders

FEBS Letters, EarlyView.
Mitochondrial remodeling shapes neural and glial lineage progression by matching metabolic supply with demand. Elevated OXPHOS supports differentiation and myelin formation, while myelin compaction lowers mitochondrial dependence, revealing mitochondria as key drivers of developmental energy adaptation.
Sahitya Ranjan Biswas, Porter L. Tomsick, Alicia M. Pickrell, Paul D. Morton   +3 more
wiley   +1 more source

Two Classes of Almost Unbiased Type Principal Component Estimators in Linear Regression Model

Journal of Applied Mathematics, 2014
This paper is concerned with the parameter estimator in linear regression model. To overcome the multicollinearity problem, two new classes of estimators called the almost unbiased ridge-type principal component estimator (AURPCE) and the almost unbiased
Yalian Li, Hu Yang
doaj   +1 more source

The neural crest‐associated gene ERRFI1 is involved in melanoma progression and resistance toward targeted therapy

Molecular Oncology, EarlyView.
ERRFI1, a neural crest (NC)‐associated gene, was upregulated in melanoma and negatively correlated with the expression of melanocytic differentiation markers and the susceptibility of melanoma cells toward BRAF inhibitors (BRAFi). Knocking down ERRFI1 significantly increased the sensitivity of melanoma cells to BRAFi.
Nina Wang, Qian Sun, Daniel Novak, Lei Zhu, Juliane Poelchen, Tamara Steinfass, Yiman Wang, Viktor Umansky, Jochen Utikal   +8 more
wiley   +1 more source