Results 41 to 50 of about 2,943,479 (296)

Continuum Regression and Ridge Regression

Journal of the Royal Statistical Society Series B: Statistical Methodology, 1993
SUMMARY We demonstrate the close relationship between first-factor continuum regression and standard ridge regression. The difference is that continuum regression inserts a scalar compensation factor for that part of the shrinkage in ridge regression that has no connection with tendencies towards collinearity.
openaire   +3 more sources

Linked dimers of the AAA+ ATPase Msp1 reveal energetic demands and mechanistic plasticity for substrate extraction from lipid bilayers

FEBS Letters, EarlyView.
Cells must clear mislocalized or faulty proteins from membranes to survive. The AAA+ ATPase Msp1 performs this task, but dissecting how its six subunits work together is challenging. We engineered linked dimers with varied numbers of functional subunits to reveal how Msp1 subunits cooperate and use energy to extract proteins from the lipid bilayer ...
Deepika Gaur, Brian Acquaviva, Baylee A. Smith, Nathan Walker, Isabella Walter, Matthew L. Wohlever   +5 more
wiley   +1 more source

Impact of Abiotic Factors on Occurrence of Capsule Borer and Sucking Pests in Sesamum

International Journal of Economic Plants
A field experiment was conducted at Agricultural college, Naira, Srikakulam, Andhra Pradesh, India during early summer (January–April) of 2021 to know about the incidence of leaf webber and sucking pests viz., leafhopper (Hishimonus phycitis Distant ...
P. Divya, S. Dhurua, M. S. V. Chalam, S. Govinda Rao, Gummadidala Chaitanya   +4 more
doaj   +1 more source

Economic Impact of Imposing Excise Tax on Plastic Bottles of Drinks

Economics and Finance in Indonesia, 2018
This research simulates the effect of imposing excise tax on plastic container of drinks towards economic performance of beverage industry in Indonesia and governmentâ˘A ´Zs tax revenue.
Eugenia Mardanugraha
doaj   +1 more source

Revisiting the Dissimilarity Representation in the Context of Regression

IEEE Access, 2021
In machine learning, a natural way to represent an instance is by using a feature vector. However, several studies have shown that this representation may not accurately characterize an object.
Vicente Garcia, J. Salvador Sanchez, Rafael Martinez-Pelaez, Luis C. Mendez-Gonzalez   +3 more
doaj   +1 more source

Comparing self‐reported race and genetic ancestry for identifying potential differentially methylated sites in endometrial cancer: insights from African ancestry proportions using machine learning models

Molecular Oncology, EarlyView.
Integrating ancestry, differential methylation analysis, and machine learning, we identified robust epigenetic signature genes (ESGs) and Core‐ESGs in Black and White women with endometrial cancer. Core‐ESGs (namely APOBEC1 and PLEKHG5) methylation levels were significantly associated with survival, with tumors from high African ancestry (THA) showing ...
Huma Asif, J. Julie Kim
wiley   +1 more source

Regression model to estimate flood impact on corn yield using MODIS NDVI and USDA cropland data layer

Journal of Integrative Agriculture, 2017
Flood events and their impact on crops are extremely significant scientific research issues; however, flood monitoring is an exceedingly complicated process.
Ranjay Shrestha, Liping Di, Eugene G. Yu, Lingjun Kang, Yuan-zheng SHAO, Yu-qi BAI   +5 more
doaj   +1 more source

The Determinants of Length of Homeless Shelter Stays: Evidence-Based Regression Analyses

International Journal of Public Health, 2022
Objective: To identify determinants that contribute to the length of homeless shelter stay.Methods: We utilized a unique dataset from the Homeless Management Information Systems from Boston, Massachusetts, United States, which contains 44,197 shelter ...
Haijing Hao, Monica Garfield, Sandeep Purao   +2 more
doaj   +1 more source

Regression Rank Scores and Regression Quantiles

The Annals of Statistics, 1992
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Gutenbrunner, C., Jureckova, J.
openaire   +2 more sources

A large‐scale retrospective study in metastatic breast cancer patients using circulating tumour DNA and machine learning to predict treatment outcome and progression‐free survival

Molecular Oncology, EarlyView.
There is an unmet need in metastatic breast cancer patients to monitor therapy response in real time. In this study, we show how a noninvasive and affordable strategy based on sequencing of plasma samples with longitudinal tracking of tumour fraction paired with a statistical model provides valuable information on treatment response in advance of the ...
Emma J. Beddowes, Mario Ortega Duran, Solon Karapanagiotis, Alistair Martin, Meiling Gao, Riccardo Masina, Ramona Woitek, James Tanner, Fleur Tippin, Justine Kane, Jonathan Lay, Anja Brouwer, Stephen‐John Sammut, Suet‐Feung Chin, Davina Gale, Dana W. Y. Tsui, Sarah‐Jane Dawson, Nitzan Rosenfeld, Maurizio Callari, Oscar M. Rueda, Carlos Caldas   +20 more
wiley   +1 more source