Results 31 to 40 of about 123,927 (254)
State estimation for discrete-time neural networks with Markov-mode-dependent lower and upper bounds on the distributed delays [PDF]
Copyright @ 2012 Springer VerlagThis paper is concerned with the state estimation problem for a new class of discrete-time neural networks with Markovian jumping parameters and mixed time-delays.
B Du +37 more
core +1 more source
A New Ridge-Type Estimator for the Linear Regression Model: Simulations and Applications
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
An integrated approach to global synchronization and state estimation for nonlinear singularly perturbed complex networks [PDF]
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 +4 more
core +1 more source
Adaptive Huber Regression [PDF]
Big data can easily be contaminated by outliers or contain variables with heavy-tailed distributions, which makes many conventional methods inadequate.
Fan, Jianqing, Sun, Qiang, Zhou, Wenxin
core +2 more sources
Efficiency of a Liu-type estimator in semiparametric regression models
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Esra Akdeniz Duran +2 more
openaire +3 more sources
Inference for a Special Bilinear Time Series Model
It is well known that estimating bilinear models is quite challenging. Many different ideas have been proposed to solve this problem. However, there is not a simple way to do inference even for its simple cases.
Ling, Shiqing, Peng, Liang, Zhu, Fukang
core +2 more sources
Robust Liu-Type Estimator for SUR Model
The Liu-type estimator is one of the shrink estimators that is used to remedy for a problem of multicollinearityin SUR model, but it is sensitive to the outlier. In this paper, we introduce the S Liu-type (SLiu-type) and MM Liu-type estimator (MMLiu-type) for SUR model.
openaire +2 more sources
ABSTRACT Background Children with acute lymphoblastic leukemia (ALL) are at risk of severe outcomes from SARS‐CoV‐2 (SCV2). In the post‐pandemic context, where most children have been infected with SCV2, there are limited data on whether vaccination remains beneficial in children with ALL.
Janna R. Shapiro +11 more
wiley +1 more source
High Dimensional Semiparametric Scale-Invariant Principal Component Analysis
We propose a new high dimensional semiparametric principal component analysis (PCA) method, named Copula Component Analysis (COCA). The semiparametric model assumes that, after unspecified marginally monotone transformations, the distributions are ...
Han, Fang, Liu, Han
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In situ molecular organization and heterogeneity of the Legionella Dot/Icm T4SS
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 +11 more
wiley +1 more source

