Results 41 to 50 of about 33,300,374 (339)

Multivariate Functional Data Visualization and Outlier Detection [PDF]

Journal of Computational And Graphical Statistics, 2017
This article proposes a new graphical tool, the magnitude-shape (MS) plot, for visualizing both the magnitude and shape outlyingness of multivariate functional data.
Wenlin Dai, M. Genton
semanticscholar   +1 more source

Recommendations for the collection and use of multiplexed functional data for clinical variant interpretation

Genome Medicine, 2019
Variants of uncertain significance represent a massive challenge to medical genetics. Multiplexed functional assays, in which the functional effects of thousands of genomic variants are assessed simultaneously, are increasingly generating data that can ...
Hannah Gelman, J. N. Dines, J. Berg, A. Berger, Sarah E. Brnich, F. Hisama, Richard G. James, Alan F. Rubin, J. Shendure, B. Shirts, D. Fowler, L. Starita   +11 more
semanticscholar   +1 more source

The Onsager--Machlup functional for data assimilation [PDF]

, 2017
When taking the model error into account in data assimilation, one needs to evaluate the prior distribution represented by the Onsager--Machlup functional.
Sugiura, Nozomi
core   +3 more sources

Inductive benchmarking for purely functional data structures [PDF]

, 2001
Every designer of a new data structure wants to know how well it performs in comparison with others. But finding, coding and testing applications as benchmarks can be tedious and time-consuming.
Moss, G E, Runciman, C
core   +1 more source

Functional Analysis of Variance: An Application to Stock Exchange

Cumhuriyet Science Journal
The concept of "functional data" allows for the representation of data collected repeatedly over a period of time as a continuous function within a specific range on the time axis, rather than as discrete measurement points.
Selin Öğütcü, Nuri Çelik
doaj   +1 more source

Functional data clustering: a survey [PDF]

Advances in Data Analysis and Classification, 2013
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Jacques, Julien, Preda, Cristian
openaire   +4 more sources

Intrinsic Riemannian functional data analysis [PDF]

Annals of Statistics, 2018
In this work we develop a novel and foundational framework for analyzing general Riemannian functional data, in particular a new development of tensor Hilbert spaces along curves on a manifold. Such spaces enable us to derive Karhunen-Loeve expansion for
Zhenhua Lin, Fang Yao
semanticscholar   +1 more source

Fast DD-classification of functional data

, 2016
A fast nonparametric procedure for classifying functional data is introduced. It consists of a two-step transformation of the original data plus a classifier operating on a low-dimensional hypercube.
Mosler, Karl, Mozharovskyi, Pavlo
core   +2 more sources

Functional data analysis view of functional near infrared spectroscopy data

Journal of Biomedical Optics, 2013
Functional near infrared spectroscopy (fNIRS) is a powerful tool for the study of oxygenation and hemodynamics of living tissues. Despite the continuous nature of the processes generating the data, analysis of fNIRS data has been limited to discrete-time methods.
Zeinab, Barati, Issa, Zakeri, Kambiz, Pourrezaei   +2 more
openaire   +2 more sources

Fast covariance estimation for multivariate sparse functional data [PDF]

Stat, 2018
Covariance estimation is essential yet underdeveloped for analysing multivariate functional data. We propose a fast covariance estimation method for multivariate sparse functional data using bivariate penalized splines.
Cai Li, Luo Xiao, S. Luo
semanticscholar   +1 more source