Results 31 to 40 of about 7,564,642 (290)
Maximal autocorrelation functions in functional data analysis [PDF]
This paper proposes a new factor rotation for the context of functional principal components analysis. This rotation seeks to re-represent a functional subspace in terms of directions of decreasing smoothness as represented by a generalized smoothing metric.
Hooker, Giles, Roberts, Steven
openaire +4 more sources
The Onsager--Machlup functional for data assimilation [PDF]
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
Nonparametric Regression Based on Discretely Sampled Curves
In the context of nonparametric regression, we study conditions under which the consistency (and rates of convergence) of estimators built from discretely sampled curves can be derived from the consistency of estimators based on the unobserved whole ...
Liliana Forzani +2 more
doaj +1 more source
Inductive benchmarking for purely functional data structures [PDF]
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 data clustering: a survey [PDF]
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Jacques, Julien, Preda, Cristian
openaire +4 more sources
Functional factor analysis for periodic remote sensing data [PDF]
We present a new approach to factor rotation for functional data. This is achieved by rotating the functional principal components toward a predefined space of periodic functions designed to decompose the total variation into components that are nearly ...
Friedl, Mark +3 more
core +3 more sources
Functional Analysis of Variance: An Application to Stock Exchange
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
In traffic monitoring data analysis, the magnitude of traffic density plays an important role in determining the level of traffic congestion. This study proposes a data imputation method for spatio-functional principal component analysis (s-FPCA) and ...
Bing Tang, Yao Hu, Huan Chen
doaj +1 more source
Functional data analysis view of functional near infrared spectroscopy data
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 +2 more
openaire +2 more sources
Fast DD-classification of functional data
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

