Results 91 to 100 of about 474,403 (297)

Bidimensional Inequalities with an Ordinal Variable [PDF]

, 2011
The normative foundations of the comparison of distributions of a single attribute between a given number of individuals are by now well-established. They originate in the equivalence between four plausible answers to the question of when a distribution x can be considered normatively better than a distribution y.
N. GRAVEL, Patrick MOYES (GREThA UMR CNRS 5113)   +1 more
openaire   +2 more sources

Solid Harmonic Wavelet Bispectrum for Image Analysis

Advanced Science, EarlyView.
The Solid Harmonic Wavelet Bispectrum (SHWB), a rotation‐ and translation‐invariant descriptor that captures higher‐order (phase) correlations in signals, is introduced. Combining wavelet scattering, bispectral analysis, and group theory, SHWB achieves interpretable, data‐efficient representations and demonstrates competitive performance across texture,
Alex Brown, Mathilda Avirett‐Mackenzie, Carolin Villforth, Georgios Exarchakis   +3 more
wiley   +1 more source

Ordinal Variables and the Measurement of Polarization [PDF]

This paper aims at proposing measures of polarization for the distribution of a variable when information on the latter is only ordinal. The measures proposed are borrowed from the recent literature on the measurement of segregation.
FUSCO Alessio, SILBER Jacques
core   +1 more source

Design of Safe and Efficient Adenine Base Editors via Protein Language Model Screening for Osteoarthritis Treatment

Advanced Science, EarlyView.
ABSTRACT Base editors enable precise genome modification and have emerged as a promising therapeutic approach for correcting diseases caused by single‐nucleotide variants. While the current efficient version of adenine base editors (ABEs), such as ABE8e, exhibits exceptional efficiency for A‐to‐G conversions, their clinical translation is hindered by ...
Jiawei Yao, Dalin Chen, Ziyi Zhang, Jingxuan Ren, Chengcheng Zhao, Shengfang Wang, Mengyu Shang, Dawei Jiang, Yinuo Li, Su'an Tang, Kai Li, Xiaohui Zhang, Xiaogang Wang   +12 more
wiley   +1 more source

Manipulating measurement scales in medical statistical analysis and data mining: A review of methodologies

Journal of Research in Medical Sciences, 2014
Background: selecting the correct statistical test and data mining method depends highly on the measurement scale of data, type of variables, and purpose of the analysis.
Hamid Reza Marateb, Marjan Mansourian, Peyman Adibi, Dario Farina   +3 more
doaj  

Phenotypic Diversity and Outcomes in Pediatric NMDA Receptor Encephalitis: A 15‐Year Retrospective Study from the Largest Children's Hospital in the United States

Advanced Science, EarlyView.
ABSTRACT Anti‐NMDAR encephalitis (NMDARE) is an autoantibody‐mediated disorder characterized by seizures, movement disorders, neurocognitive deficits, and psychosis, but the complete phenotypic heterogeneity, and outcomes are incompletely understood in children.
Alexander J. Sandweiss, Timothy Erickson, Yike Jiang, Varun Kannan, Jonathan M. Yarimi, Kristen S. Fisher, Nikita Shukla, Tim Lotze, Eyal Muscal, Kristy O. Murray   +9 more
wiley   +1 more source

Factor Analysis of Ordinal Items: Old Questions, Modern Solutions?

Stats
Factor analysis, a staple of correlational psychology, faces challenges with ordinal variables like Likert scales. The validity of traditional methods, particularly maximum likelihood (ML), is debated.
João Marôco
doaj   +1 more source

Comparison of Multivariate Means across Groups with Ordinal Dependent Variables: A Monte Carlo Simulation Study

Frontiers in Applied Mathematics and Statistics, 2016
Multivariate analysis of variance (MANOVA) is a widely used technique for simultaneously comparing means for multiple dependent variables across two or more groups. MANOVA rests on several assumptions, including that of multivariate normality.
Holmes eFinch
doaj   +1 more source

Penalized EM algorithm and copula skeptic graphical models for inferring networks for mixed variables

, 2014
In this article, we consider the problem of reconstructing networks for continuous, binary, count and discrete ordinal variables by estimating sparse precision matrix in Gaussian copula graphical models.
Abegaz, Fentaw, Wit, Ernst
core   +1 more source

Ordinal Variable Selection in Decision Trees [PDF]

Korean Journal of Applied Statistics, 2006
The most important component in decision tree algorithm is the rule for split variable selection. Many earlier algorithms such as CART and C4.5 use greedy search algorithm for variable selection. Recently, many methods were developed to cope with the weakness of greedy search algorithm. Most algorithms have different selection criteria depending on the
openaire   +1 more source