Results 71 to 80 of about 2,627,626 (274)
Reweighted Least Trimmed Squares: An Alternative to One-Step Estimators [PDF]
A new class of robust regression estimators is proposed that forms an alternative to traditional robust one-step estimators and that achieves the √n rate of convergence irrespective of the initial estimator under a wide range of distributional ...
Cizek, P.
core
Advanced Science, EarlyView.Probiotic B.p colonization elevated gut‐derived inosine level in the liver, while elevated inosine activated A2AR and subsequently blocked NPs‐induced polarization of M1 macrophages by repressing the miR155/SOCS1/NF‐κB pathway. This reduced the release of inflammatory cytokines and thereby, mitigated NPs‐induced hepatic injury.
Kaikai Zhang +10 more
wiley +1 more source
Are scale-free networks robust to measurement errors?
BMC Bioinformatics, 2005 Background Many complex random networks have been found to be scale-free. Existing literature on scale-free networks has rarely considered potential false positive and false negative links in the observed networks, especially in biological networks ...
Zhao Hongyu, Lin Nan
doaj +1 more source
General Trimmed Estimation: Robust Approach to Nonlinear and Limited Dependent Variable Models [PDF]
High breakdown-point regression estimators protect against large errors and data con- tamination. Motivated by some { the least trimmed squares and maximum trimmed like- lihood estimators { we propose a general trimmed estimator, which unifies and ...
Cizek, P.
core
Advanced Science, EarlyView.Lactiplantibacillus plantarum GUANKE remodels the indigenous gut microbiota and is associated with microbiota‐dependent restoration of circulating IAA. IAA treatment attenuates JAK3‐STAT3 and Jag1‐Notch4‐Hey1 signaling and reduces CX3CR1+Ly6C− monocytic precursor generation and pulmonary CD11b+ DC accumulation, together with reduced Th2 inflammation ...
Yujia He +10 more
wiley +1 more source
المجلة العراقية للعلوم الاحصائيةThis research aims to demonstrate the high efficiency and accuracy in estimating the limited population mean through the estimates of the separate and combined stratified regression line based on the method of median ranked set sampling to choose a ...
Ayman M. AL-Hadidi, Rikan A. Ahmed
doaj +1 more source
Robust estimation of the vector autoregressive model by a least trimmed squares procedure. [PDF]
The vector autoregressive model is very popular for modeling multiple time series. Estimation of its parameters is typically done by a least squares procedure.
Croux, Christophe, Joossens, Kristel
core
Biodegradable Acoustic Targeting for Ultrasound‐Supported Gene Therapy (BATUS) in Glioblastoma
Advanced Science, EarlyView.ABSTRACT Glioblastoma (GBM) remains one of the most challenging brain malignancies due to the restrictive nature of the blood–brain barrier (BBB), which severely limits effective drug and gene delivery. To overcome this, we introduce Biodegradable Acoustic Targeting for Ultrasound‐Supported Gene Therapy (BATUS), a modular platform that enables safe ...
Gulsah Erel‐Akbaba +25 more
wiley +1 more source
, 2010 Recent advances in total least squares approaches for solving various errors-in-variables modeling problems are reviewed, with emphasis on the following generalizations: 1.
Markovsky, Ivan +2 more
core +1 more source
Least squares fitting the three-parameter inverse Weibull density [PDF]
, 2010 The inverse Weibull model was developed by Erto [10]. In practice, the unknown parameters of the appropriate inverse Weibull density are not known and must be estimated from a random sample.
Marušić, Miljenko +5 more
core +1 more source