Results 101 to 110 of about 12,232,356 (294)

Holistic Generalized Linear Models

Journal of Statistical Software
Holistic linear regression extends the classical best subset selection problem by adding additional constraints designed to improve the model quality.
Benjamin Schwendinger, Florian Schwendinger, Laura Vana   +2 more
doaj   +1 more source

Bayesian Variable Selection for Pareto Regression Models with Latent Multivariate Log Gamma Process with Applications to Earthquake Magnitudes

Geosciences, 2019
Generalized linear models are routinely used in many environment statistics problems such as earthquake magnitudes prediction. Hu et al. proposed Pareto regression with spatial random effects for earthquake magnitudes.
Hou-Cheng Yang, Guanyu Hu, Ming-Hui Chen
doaj   +1 more source

Lack-of-fit tests in semiparametric mixed models. [PDF]

In this paper we obtain the asymptotic distribution of restricted likelihood ratio tests in mixed linear models with a fixed and finite number of random effects.
Claeskens, Gerda, Ding, Huijuan, Jansen, Maarten   +2 more
core  

Hyperosmotic stress‐induced redistribution of pre‐mRNA cleavage factor I subunits is associated with shifts in alternative polyadenylation

FEBS Open Bio, EarlyView.
Hyperosmotic stress triggers the relocation of the CFIm complex from the nucleus to the cytoplasm. This shift creates a nuclear ‘stoichiometric bottleneck’, limiting CFIm availability for mRNA processing. Consequently, specific mRNAs like NUDT21 and DICER1 undergo targeted 3′UTR shortening, demonstrating how spatial protein dynamics drive rapid ...
Hitomi Soumiya, Masatake Osawa, Hidefumi Fukumitsu   +2 more
wiley   +1 more source

Evaluating the involvement of autolysosomes in the nuclear translocation of fluorescent proteins

FEBS Open Bio, EarlyView.
Endogenously expressed fluorescent proteins can be degraded by autophagy and transported to cell nuclei via the nuclear pore complex. But in some cell lines, for example, HeLa cells which are positive for immunoreactivity of a receptor ligand, such as UCN I, in cell nuclei, fusion of autolysosome with the nuclear envelope is involved in the nuclear ...
Keiichi Ikeda
wiley   +1 more source

Impact evaluation ofwelfare actions over a community in Colombia, using a data correlated model

Revista Facultad Nacional de Salud Pública, 2010
The impact evaluation of a communitarian program sometimes is based on statistical techniques such as linear regression models analysis when the goal is usually to quantify its effects on both social and welfare characteristics of a community.
Juan C. Salazar U, Marisol Valencia C
doaj  

Effects of IGFBP4 deficiency on human preadipocyte proliferation and differentiation through the IGF1R/AKT pathway

FEBS Open Bio, EarlyView.
IGFBP4 knockdown (KD) impairs preadipocyte proliferation and is associated with IGF1R protein downregulation and attenuated AKT phosphorylation. The mechanisms by which IGFBP4 KD influences the IGF1R/AKT signaling pathway involve newly synthesized proteins and lysosomal degradation pathways. Created in BioRender.
Yujia Guo, Sandy Richter, Christoph Bach, Wieland Kiess, Anna Kirstein, Diana Le Duc, Antje Garten   +6 more
wiley   +1 more source

Efficient Regression in Time Series Partial Linear Models [PDF]

This paper studies efficient estimation of partial linear regression in time series models. In particular, it combines two topics that have attracted a good deal of attention in econometrics, viz.
Peter C.B. Phillips, Zhijie Xiao, Binbin Guo   +2 more
core  

Accurate and noninvasive prostate cancer detection using plasma‐derived extracellular vesicle RNA

FEBS Open Bio, EarlyView.
Plasma extracellular vesicles were captured with WGA‐conjugated magnetic beads and profiled for RNA biomarkers. A three‐RNA panel (NM_024955, NR_047469, and NR_002564) distinguished prostate cancer from healthy controls and benign prostatic hyperplasia, supporting a simple, noninvasive approach to improve prostate cancer detection.
Hanping Wei, Haoran Wu, Wei Feng
wiley   +1 more source

On Mallows' Cp in the multivariate linear regression model under the uniform mixed linear constraints

Journal of the Japan Statistical Society, Japanese Issue, 1986
We expand the Mallows' Cp into the multivariate linear regression model along the framework of \textit{E. R. Berndt} and \textit{N. E. Savin} [Econometrica 45, 1263-1277 (1977; Zbl 0368.62030)]. Also, by using the Cp, we derive the optimal critical value for the Wald test in the multivariate linear regression model under the uniform mixed linear ...
openaire   +2 more sources