Results 21 to 30 of about 33,300,374 (339)

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, Brossat, Xavier, Cugliari, Jairo, Poggi, Jean-Michel   +3 more
openaire   +6 more sources

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, Marron, J. S., Kim, Yongdai, Muñoz Maldonado, Yolanda, Shen, Haipeng, Shen, Dan   +5 more
openaire   +4 more sources

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, Quentin Grimonprez, Vincent Vandewalle   +2 more
doaj   +1 more source

Bayesian function‐on‐function regression for multilevel functional data [PDF]

Biometrics, 2015
SummaryMedical and public health research increasingly involves the collection of complex and high dimensional data. In particular, functional data—where the unit of observation is a curve or set of curves that are finely sampled over a grid—is frequently obtained.
Meyer, Mark J, Coull, Brent A, Versace, Francesco, Cinciripini, Paul, Morris, Jeffrey S   +4 more
openaire   +4 more sources

Asymptotic properties of penalized splines for functional data

, 2020
Penalized spline methods are popular for functional data analysis but their asymptotic properties have not been developed. We present a theoretic study of the L2 and uniform convergence of penalized spline estimators for estimating the mean and ...
Luo Xiao
semanticscholar   +1 more source

Combining Entropy Measures for Anomaly Detection

Entropy, 2018
The combination of different sources of information is a problem that arises in several situations, for instance, when data are analysed using different similarity measures.
Alberto Muñoz, Nicolás Hernández, Javier M. Moguerza, Gabriel Martos   +3 more
doaj   +1 more source

Clonal tracing reveals diverse patterns of response to immune checkpoint blockade

Genome Biology, 2020
Background Immune checkpoint blockade (ICB) therapy has improved patient survival in a variety of cancers, but only a minority of cancer patients respond.
Shengqing Stan Gu, Xiaoqing Wang, Xihao Hu, Peng Jiang, Ziyi Li, Nicole Traugh, Xia Bu, Qin Tang, Chenfei Wang, Zexian Zeng, Jingxin Fu, Cliff Meyer, Yi Zhang, Paloma Cejas, Klothilda Lim, Jin Wang, Wubing Zhang, Collin Tokheim, Avinash Das Sahu, Xiaofang Xing, Benjamin Kroger, Zhangyi Ouyang, Henry Long, Gordon J. Freeman, Myles Brown, X. Shirley Liu   +25 more
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, Kerrie Mengersen, Fabrizio Ruggeri, Paul Wu   +3 more
doaj   +1 more source

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, Besse, Biau, Cardot, Cardot, Cristianini, Dauxois, Deville, Evgeniou, Fabrice Rossi, Ferré, Francois, Frank, Hastie, Hastie, Hastie, Hastie, Hoerl, James, Leurgans, Lin, Mallat, Marx, Nathalie Villa, Pezzulli, Ramsay, Ramsay, Rossi, Rossi, Rossi, Rossi, Sandberg, Sandberg, Smola, Smola, Steinwart, Steinwart, Stinchcombe, Vapnik, Vert, Villa   +40 more
core   +7 more sources

Functional Multi-Layer Perceptron: a Nonlinear Tool for Functional Data Analysis [PDF]

, 2003
In this paper, we study a natural extension of Multi-Layer Perceptrons (MLP) to functional inputs. We show that fundamental results for classical MLP can be extended to functional MLP.
Abraham, Andrews, Besse, Besse, Besse, Besse, Breiman, Brieuc Conan-Guez, Cardot, Cardot, Chen, Chen, Cristianini, Fabrice Rossi, Ferraty, Ferraty, Ferraty, Ferré, Hastie, Hastie, Hornik, Hornik, James, James, Leshno, Li, Marx, Ramsay, Rudin, Sandberg, Sandberg, Stinchcombe, White   +32 more
core   +8 more sources