Results 11 to 20 of about 7,564,642 (290)
Depth-based inference for functional data [PDF]
, 2006 We propose robust inference tools for functional data based on the notion of depth for curves. We extend the ideas of trimmed regions, contours and central regions to functions and study their structural properties and asymptotic behavior.
López Pintado, Sara, Romo, Juan
core +6 more sources
Weakly dependent functional data [PDF]
, 2010 Functional data often arise from measurements on fine time grids and are obtained by separating an almost continuous time record into natural consecutive intervals, for example, days.
Hörmann, Siegfried, Kokoszka, Piotr
core +1 more source
Bayesian Nonparametric Mixture Estimation for Time-Indexed Functional Data in R
Journal of Statistical Software, 2016 We present growfunctions for R that offers Bayesian nonparametric estimation models for analysis of dependent, noisy time series data indexed by a collection of domains.
Terrance D. Savitsky
doaj +1 more source
Categorical Functional Data Analysis. The cfda R Package
Mathematics, 2021 Categorical functional data represented by paths of a stochastic jump process with continuous time and a finite set of states are considered. As an extension of the multiple correspondence analysis to an infinite set of variables, optimal encodings of ...
Cristian Preda +2 more
doaj +1 more source
CLUSTERING FUNCTIONAL DATA USING WAVELETS [PDF]
International Journal of Wavelets, Multiresolution and Information Processing, 2013 We present two strategies for detecting patterns and clusters in high-dimensional time-dependent functional data. The use on wavelet-based similarity measures, since wavelets are well suited for identifying highly discriminant local time and scale features.
Antoniadis, Anestis +3 more
openaire +6 more sources
Risks, 2018 A functional ARMA-GARCH model for predicting the value-at-risk of the EURUSD exchange rate is introduced. The model implements the yield curve differentials between EUR and the US as exogenous factors. Functional principal component analysis allows us to
Holger Fink, Andreas Fuest, Henry Port
doaj +1 more source
Curve Registration of Functional Data for Approximate Bayesian Computation
Stats, 2021 Approximate Bayesian computation is a likelihood-free inference method which relies on comparing model realisations to observed data with informative distance measures.
Anthony Ebert +3 more
doaj +1 more source
Functional Data Analysis of Tree Data Objects [PDF]
Journal of Computational and Graphical Statistics, 2014 Data analysis on non-Euclidean spaces, such as tree spaces, can be challenging. The main contribution of this article is establishment of a connection between tree-data spaces and the well-developed area of functional data analysis (FDA), where the data objects are curves.
Bhamidi, Shankar +5 more
openaire +4 more sources
Support vector machine for functional data classification [PDF]
, 2005 In many applications, input data are sampled functions taking their values in infinite dimensional spaces rather than standard vectors. This fact has complex consequences on data analysis algorithms that motivate modifications of them.
Aronszajn +40 more
core +7 more sources
Major Element Geochemistry of LongShan Loess Profile in the Central Shandong Mountainous regions, Northern China [PDF]
Journal of Risk Analysis and Crisis Response (JRACR), 2017 valleys of mountainous regions in central Shandong Province in northern China, have been systematically tested and been compared with the YHC loess in the Loess Plateau to reveal the geochemical characteristics and material sources of LS loess.
Min Ding +4 more
doaj +1 more source