Results 81 to 90 of about 2,148,018 (281)
Genetics Selection Evolution, 2001 Daily feed intake data of 1 279 French Landrace (FL, 1 039 boars and 240 castrates) and 2 417 Large White (LW, 2 032 boars and 385 castrates) growing pigs were recorded with electronic feed dispensers in three French central testing stations from 1992 ...
Hofer Andreas +3 more
doaj +1 more source
Panel Regression with Random Noise [PDF]
The paper explores the effect of measurement errors on the estimation of a linear panel data model. The conventional fixed effects estimator, which ignores measurement errors, is biased.
Gerd Ronning, Hans Schneeweiss
core
Tumor mutational burden as a determinant of metastatic dissemination patterns
Molecular Oncology, EarlyView.This study performed a comprehensive analysis of genomic data to elucidate whether metastasis in certain organs share genetic characteristics regardless of cancer type. No robust mutational patterns were identified across different metastatic locations and cancer types.
Eduardo Candeal +4 more
wiley +1 more source
Admissibility of the usual confidence interval in linear regression
, 2010 Consider a linear regression model with independent and identically normally distributed random errors. Suppose that the parameter of interest is a specified linear combination of the regression parameters. We prove that the usual confidence interval for
Giri, Khageswor +2 more
core +1 more source
Revista Brasileira de Zootecnia, 2009 Este trabalho foi realizado com o objetivo de avaliar a utilização de diferentes estruturas de variância residual para estimação de funções de covariância para o peso de bovinos da raça Canchim.
Fábio Luiz Buranelo Toral +2 more
doaj +1 more source
Variable selection in multiple regression with random design
, 2015 We propose a method for variable selection in multiple regression with random predictors. This method is based on a criterion that permits to reduce the variable selection problem to a problem of estimating suitable permutation and dimensionality.
Mbina, Alban Mbina +2 more
core
Stein Random Feature Regression
In large-scale regression problems, random Fourier features (RFFs) have significantly enhanced the computational scalability and flexibility of Gaussian processes (GPs) by defining kernels through their spectral density, from which a finite set of Monte Carlo samples can be used to form an approximate low-rank GP.
Warren, Houston +2 more
openaire +2 more sources
Basroparib inhibits YAP‐driven cancers by stabilizing angiomotin
Molecular Oncology, EarlyView.Basroparib, a selective tankyrase inhibitor, suppresses Wnt signaling and attenuates YAP‐driven oncogenic programs by stabilizing angiomotin. It promotes AMOT–YAP complex formation, enforces cytoplasmic YAP sequestration, inhibits YAP/TEAD transcription, and sensitizes YAP‐active cancers, including KRAS‐mutant colorectal cancer, to MEK inhibition.
Young‐Ju Kwon +4 more
wiley +1 more source
Revista Brasileira de Zootecnia, 2005 Este trabalho foi realizado com os objetivos de avaliar diferentes modelos de regressão aleatória, compostos por polinômios de Legendre, utilizados na descrição de efeitos genéticos e ambientais sobre observações do tipo peso-idade e identificar o mais ...
Kleber Régis Santoro +3 more
doaj +1 more source
Fixed and random covariance regression analyses
The Annals of Statistics25 ...
Zou, Tao +3 more
openaire +2 more sources