Results 11 to 20 of about 2,491,525 (260)
Fusing data with correlations [PDF]
Proceedings of the 2014 ACM SIGMOD International Conference on Management of Data, 2014 Sigmod ...
Pochampally, Ravali +4 more
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Regression, Transformations, and Mixed-Effects with Marine Bryozoans
Journal of Statistics and Data Science Education, 2022 This article demonstrates how data from a biology paper, which analyzes the relationship between mass and metabolic rate for two species of marine bryozoan, can be used to teach a variety of regression topics to both introductory and advanced students. A
Ciaran Evans
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Enhancing correlated big data privacy using differential privacy and machine learning
Journal of Big Data, 2023 Data are often correlated in real-world datasets. Existing data privacy algorithms did not consider data correlation an inherent property of datasets. This data correlation caused privacy leakages that most researchers left unnoticed.
Sreemoyee Biswas +3 more
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Test-statistic correlation and data-row correlation [PDF]
Statistics & Probability Letters, 2019 AbstractWhen a statistical test is repeatedly applied to rows of a data matrix—such as in differential-expression analysis of gene expression data, correlations among data rows will give rise to correlations among corresponding test statistic values.
Zhuo, Bin, Jiang, Duo, Di, Yanming
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Machine learning concepts for correlated Big Data privacy
Journal of Big Data, 2021 With data becoming a salient asset worldwide, dependence amongst data kept on growing. Hence the real-world datasets that one works upon in today’s time are highly correlated.
Sreemoyee Biswas +3 more
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Discriminant Analysis for Correlated Data [PDF]
Maǧallaẗ Al-Buḥūṯ Al-Mālīyyaẗ wa Al-Tiğāriyyaẗ, 2019 The correlated data are of great importance in the practical life, for example we may want to track the case of a patient after taking a treatment for consecutive periods of time. Also, we may want to track a disease with the members of a certain family.
Ahmed Mohamed Mohamed El-Sayed
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Homogeneity test for correlated binary data. [PDF]
PLoS ONE, 2015 In ophthalmologic studies, measurements obtained from both eyes of an individual are often highly correlated. Ignoring the correlation could lead to incorrect inferences. An asymptotic method was proposed by Tang and others (2008) for testing equality of
Changxing Ma, Guogen Shan, Song Liu
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Generating Correlated and/or Overdispersed Count Data: A SAS Implementation
Journal of Statistical Software, 2016 Analysis of longitudinal count data has, for long, been done using a generalized linear mixed model (GLMM), in its Poisson-normal version, to account for correlation by specifying normal random effects.
George Kalema, Geert Molenberghs
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Correlation Clustering in Data Streams [PDF]
Algorithmica, 2021 AbstractClustering is a fundamental tool for analyzing large data sets. A rich body of work has been devoted to designing data-stream algorithms for the relevant optimization problems such as k-center, k-median, and k-means. Such algorithms need to be both time and and space efficient.
Kook Jin Ahn +4 more
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Pesquisa Agropecuária Brasileira, 2005 The objective of this study was to evaluate the efficiency of spatial statistical analysis in the selection of genotypes in a plant breeding program and, particularly, to demonstrate the benefits of the approach when experimental observations are not ...
João Batista Duarte, Roland Vencovsky
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