Results 1 to 10 of about 2,060,595 (185)
Bayesian Semiparametric Regression Analysis of Multivariate Panel Count Data
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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Insight into human pubertal growth by applying the QEPS growth model
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
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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Quantifying dependencies for sensitivity analysis with multivariate input sample data [PDF]
We present a novel method for quantifying dependencies in multivariate datasets, based on estimating the R\'{e}nyi entropy by minimum spanning trees (MSTs). The length of the MSTs can be used to order pairs of variables from strongly to weakly dependent,
Crommelin, D. T., Eggels, A. W.
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Correlation Analysis for Exploring Multivariate Data Sets
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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Multivariate Analysis of Mixed Data: The R Package PCAmixdata [PDF]
Mixed data arise when observations are described by a mixture of numerical and categorical variables. The R package PCAmixdata extends standard multivariate analysis methods to incorporate this type of data.
Chavent, Marie +3 more
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Integrative pathway enrichment analysis of multivariate omics data
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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Beef price is relatively expensive, which makes this commodity vulnerable to be counterfeited. The development of rapid, cheap and robust analytical methods for meats authentication has therefore become increasingly important. In this study, colorimetric
Fayca Rudhatin Swartidyana +4 more
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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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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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