Results 11 to 20 of about 41,048,805 (281)
Book of Abstracts. V International Workshop on Proximity Data, Multivariate Analysis and Classification [PDF]
, 2023 s of the V International Workshop on Proximity Data, Multivariate Analysis and Classification. July 11-12, 2023 (Valladolid, Spain)
Sinova, Beatriz +22 more
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Bayesian Semiparametric Regression Analysis of Multivariate Panel Count Data
Stats, 2022 Panel count data often occur in a long-term recurrent event study, where the exact occurrence time of the recurrent events is unknown, but only the occurrence count between any two adjacent observation time points is recorded.
Chunling Wang, Xiaoyan Lin
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Some aspects of non-standard multivariate analysis [PDF]
, 2021 A broad review is given of some areas of multivariate analysis that are not frequently emphasized. We start with situations in which underlying distributions are far from multivariate normal form, so that standard methods of multivariate analysis based ...
Battey, Heather +3 more
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Insight into human pubertal growth by applying the QEPS growth model
BMC Pediatrics, 2017 Background Computerized mathematical models describing absolute and relative individual growth during puberty in both cm and standard deviation (SD)-scores are lacking.
Anton Holmgren +5 more
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Enhancing Speech Emotions Recognition Using Multivariate Functional Data Analysis
Big Data and Cognitive Computing, 2023 Speech Emotions Recognition (SER) has gained significant attention in the fields of human–computer interaction and speech processing. In this article, we present a novel approach to improve SER performance by interpreting the Mel Frequency Cepstral ...
Matthieu Saumard
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Correlation Analysis for Exploring Multivariate Data Sets
IEEE Access, 2018 Correlation analysis is of great significance for exploring the multivariate data sets as it helps researchers toward an in-depth understanding of the complex interactions and relationships among variables.
Li Wang +3 more
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Pharmaceuticals, 2021 Psychotria malayana Jack leaf, known in Indonesia as “daun salung”, is traditionally used for the treatment of diabetes and other diseases. Despite its potential, the phytochemical study related to its anti-diabetic activity is still lacking.
Tanzina Sharmin Nipun +11 more
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Integrative pathway enrichment analysis of multivariate omics data
Nature Communications, 2020 Multi-omics datasets pose major challenges to data interpretation and hypothesis generation owing to their high-dimensional molecular profiles. Here, the authors develop ActivePathways method, which uses data fusion techniques for integrative pathway ...
Marta Paczkowska +10 more
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Frontiers in Plant Science, 2012 High-throughput phenotyping technologies in combination with genetic variability for the plant model species Arabidopsis thaliana (Arabidopsis) offer an excellent experimental platform to reveal the effects of different gene combinations on phenotypes ...
Sabrina eKleessen +2 more
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CHEMOSTAT, UM SOFTWARE GRATUITO PARA ANÁLISE EXPLORATÓRIA DE DADOS MULTIVARIADOS
Química Nova, 2015 The objective of this work was to develop a free access exploratory data analysis software application for academic use that is easy to install and can be handled without user-level programming due to extensive use of chemometrics and its association ...
Gilson A. Helfer +5 more
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