Results 101 to 110 of about 16,266,310 (309)

Non-parametric correlation structures and their respective embeddings in predictive analysis

open access: yesDiscover Applied Sciences
In data analysis, there is a natural connection between correlation and visual analysis. Correlation analysis enables the identification of relationships between attribute pairs in multidimensional datasets, while visual data analysis focuses on ...
Adam Dudáš
doaj   +1 more source

icenReg: Regression Models for Interval Censored Data in R

open access: yesJournal of Statistical Software, 2017
The non-parametric maximum likelihood estimator and semi-parametric regression models are fundamental estimators for interval censored data, along with standard fullyparametric regression models.
Clifford Anderson-Bergman
doaj   +1 more source

Methods of competing risks flexible parametric modeling for estimation of the risk of the first disease among HIV infected men

open access: yesBMC Medical Research Methodology, 2020
Background Patients infected with the Human Immunodeficiency Virus (HIV) are susceptible to many diseases. In these patients, the occurrence of one disease alters the chance of contracting another.
Sahar Nouri   +5 more
doaj   +1 more source

From junk to function — How weak selection in eukaryotes builds new parts and drives genomic complexity

open access: yesFEBS Letters, EarlyView.
How do genomes gain new functional parts? In eukaryotes, which tend to evolve under weak selection, much of the genome is junk. Palazzo and Qiu borrow the logic of Markov chains to show how non‐functional DNA becomes functional through the appearance of intermediate states, which arise due to epistasis, buffering, and biochemical messiness, allowing ...
Alexander F. Palazzo, Yi Qiu
wiley   +1 more source

ESTIMATING NON-PARAMETRIC AND PARAMETRIC TRANSFORMATION FUNCTIONS FROM SURVEY DATA: AN APPLICATION OF MINIMUM CROSS-ENTROPY [PDF]

open access: yes
A model of a (convex) technology of representative and non-representative firms in a heterogeneous sector is presented in non-parametric and parametric versions. The heterogeneity is specified with error terms.
Hoveid, Oyvind
core  

The Shewanella oneidensis Fic enzyme SoFic targets the switch‐I region of EF‐Tu for AMPylation

open access: yesFEBS Letters, EarlyView.
Fic enzymes mediate diverse post‐translational modifications across all domains of life, including AMPylation. Prokaryotic EF‐Tu can be AMPylated and deAMPylated by the conserved Fic enzyme SoFic. Structural and biochemical approaches were used to characterize the effect of AMPylation on EF‐Tu, SoFic's enzymatic activities, and the enzyme‐target ...
Svenja Runge   +6 more
wiley   +1 more source

GDP nowcasting with ragged-edge data : A semi-parametric modelling [PDF]

open access: yes
This papier formalizes the process of forecasting unbalanced monthly data sets in order to obtain robust nowcasts and forecasts of quarterly GDP growth rate through a semi-parametric modelling.
Patrick Rakotomarolahy   +2 more
core  

Chiral separation of chloroalkanes with the chromatographic column onboard Martian rovers

open access: yesFEBS Letters, EarlyView.
Computer image of the Rosalind Franklin Rover of ESA's ExoMars mission. ExoMars is scheduled to land on planet Mars in Oxia Planum in 2029. This area represents an interesting spot to look for biosignatures. Investigations of ExoMars include measurement on molecular chirality. We show that chiral chloroalkanes, that have been identified on Mars, can be
Asma Merzougui   +4 more
wiley   +1 more source

Parametric Interpretation of Non-Parametric Regression Models [PDF]

open access: yes, 2014
The advantage of the parametric regression models is the possibility of interpretation of the parameters of the regression model, i.e. to determine the direction and strength of the influence of predictors on the dependent variable.
Stelmach, Jacek
core  

M[pi]log, Macromodeling via parametric identification of logic gates [PDF]

open access: yes, 2003
This paper addresses the development of computational models of digital integrated circuit input and output buffers via the identification of nonlinear parametric models. The obtained models run in standard circuit simulation environments, offer improved
Stievano, Igor Simone   +2 more
core   +1 more source

Home - About - Disclaimer - Privacy