Results 41 to 50 of about 32,006,081 (306)
Modeling Temporally Evolving and Spatially Globally Dependent Data [PDF]
, 2017 The last decades have seen an unprecedented increase in the availability of data sets that are inherently global and temporally evolving, from remotely sensed networks to climate model ensembles.
E. Porcu, A. Alegría, R. Furrer
semanticscholar +1 more source
Compressive Sensing-Based Detection With Multimodal Dependent Data [PDF]
IEEE Transactions on Signal Processing, 2017 Detection with high-dimensional multimodal data is a challenging problem when there are complex inter- and intra- modal dependencies. While several approaches have been proposed for dependent data fusion (e.g., based on copula theory), their advantages ...
Thakshila Wimalajeewa, P. Varshney
semanticscholar +1 more source
Journal of Causal Inference, 2016 We study the framework for semi-parametric estimation and statistical inference for the sample average treatment-specific mean effects in observational settings where data are collected on a single network of possibly dependent units (e.g., in the ...
Sofrygin Oleg, van der Laan Mark J.
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Predicting Data-Dependent Jitter [PDF]
IEEE Transactions on Circuits and Systems II: Express Briefs, 2004 An analysis for calculating data-dependent jitter (DDJ) in a first-order system is introduced. The predicted DDJ features unique threshold crossing times with self-similar geometry. An approximation for DDJ in second-order systems is described in terms of the damping factor and natural frequency.
James F. Buckwalter +2 more
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ConDeTri--a content dependent read trimmer for Illumina data.
PLoS ONE, 2011 UnlabelledDuring the last few years, DNA and RNA sequencing have started to play an increasingly important role in biological and medical applications, especially due to the greater amount of sequencing data yielded from the new sequencing machines and ...
Linnéa Smeds, Axel Künstner
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Regression Analysis of Dependent Current Status Data with Left Truncation
Mathematics, 2023 Current status data are encountered in a wide range of applications, including tumorigenic experiments and demographic studies. In this case, each subject has one observation, and the only information obtained is whether the event of interest happened at
Mengyue Zhang +4 more
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Data-Dependent Conditional Priors for Unsupervised Learning of Multimodal Data
Entropy, 2020 One of the major shortcomings of variational autoencoders is the inability to produce generations from the individual modalities of data originating from mixture distributions.
Frantzeska Lavda +2 more
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Extreme dependence for multivariate data [PDF]
Quantitative Finance, 2010 20 pages, 8 ...
Bosc, Damien, Galichon, Alfred
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Note on conditional mode estimation for functional dependent data
Statistica, 2013 We consider α-mixing observations and deal with the estimation of the conditional mode of a scalar response variable Y given a random variable X taking values in a semi-metric space. We provide a convergence rate in Lp norm of the estimator.
Sophie Dabo-Niang
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Auxiliary Particle Filter for Prognostics and Health Management
International Journal of Prognostics and Health Management, 2023 Accurately predicting the remaining useful life (RUL) of a system is a crucial factor in prognostics and health management (PHM). This paper introduces an auxiliary particle filter (APF) model, which has the advantages of dynamically updating the model ...
Hang Xiao, Jamie Coble, J Wesley Hines
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