Results 11 to 20 of about 3,633,355 (289)

Functional modelling of telecommunications data

Mathematical Modelling and Analysis, 2022
This work deals with statistical modeling and forecasting of telecommunications data. Main mobile traffic events (SMS, Voice calls, Mobile data) are smoothed using B-spline functions and later analyzed in a functional framework.
Algimantas Birbilas, Alfredas Račkauskas   +1 more
doaj   +1 more source

Functional Data Analysis [PDF]

Annual Review of Statistics and Its Application, 2016
With the advance of modern technology, more and more data are being recorded continuously during a time interval or intermittently at several discrete time points. These are both examples of functional data, which has become a commonly encountered type of data.
Jane-Ling Wang, Jeng-Min Chiou, Hans-Georg Müller   +2 more
openaire   +1 more source

Introducing Alternative-Based Thresholding for Defining Functional Regions of Interest in fMRI

Frontiers in Neuroscience, 2017
In fMRI research, one often aims to examine activation in specific functional regions of interest (fROIs). Current statistical methods tend to localize fROIs inconsistently, focusing on avoiding detection of false activation.
Jasper Degryse, Ruth Seurinck, Joke Durnez, Javier Gonzalez-Castillo, Peter A. Bandettini, Beatrijs Moerkerke   +5 more
doaj   +1 more source

Increased BMI and Blood Lipids Are Associated With a Hypercoagulable State in the Moli-sani Cohort

Frontiers in Cardiovascular Medicine, 2022
The coagulation system can be assessed by the thrombin generation (TG) assay, and increased TG peak height, endogenous thrombin potential (ETP), and velocity index are associated with an increased risk of thrombosis. Obesity had been reported to increase
Romy de Laat-Kremers, Augusto Di Castelnuovo, Lisa van der Vorm, Simona Costanzo, Marisa Ninivaggi, Chiara Cerletti, Dana Huskens, Dana Huskens, Amalia De Curtis, Alessandro Gialluisi, Alessandro Gialluisi, Cuicui Bai, Cuicui Bai, Giovanni de Gaetano, Dongmei Yin, Maria Benedetta Donati, Bas de Laat, Bas de Laat, Bas de Laat, Licia Iacoviello, Licia Iacoviello, The Moli-sani Investigators   +21 more
doaj   +1 more source

Fusion gene detection by RNA-sequencing complements diagnostics of acute myeloid leukemia and identifies recurring NRIP1-MIR99AHG rearrangements

Haematologica, 2021
Identification of fusion genes in clinical routine is mostly based on cytogenetics and targeted molecular genetics, such as metaphase karyotyping, fluorescence in situ hybridization and reverse-transcriptase polymerase chain reaction.
Paul Kerbs, Sebastian Vosberg, Stefan Krebs, Alexander Graf, Helmut Blum, Anja Swoboda, Aarif M. N. Batcha, Ulrich Mansmann, Dirk Metzler, Caroline A. Heckman, Tobias Herold, Philipp A. Greif   +11 more
doaj   +1 more source

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

Object-Oriented Software for Functional Data

Journal of Statistical Software, 2020
This paper introduces the funData R package as an object-oriented implementation of functional data. It implements a unified framework for dense univariate and multivariate functional data on one- and higher dimensional domains as well as for irregular ...
Clara Happ-Kurz
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, Marron, J. S., Kim, Yongdai, Muñoz Maldonado, Yolanda, Shen, Haipeng, Shen, Dan   +5 more
openaire   +4 more sources

Investigation on the Alteration of Brain Functional Network and Its Role in the Identification of Mild Cognitive Impairment

Frontiers in Neuroscience, 2020
Mild cognitive impairment (MCI) is generally regarded as a prodromal stage of Alzheimer’s disease (AD). In coping with the challenges caused by AD, we analyzed resting-state functional magnetic resonance imaging data of 82 MCI subjects and 93 normal ...
Lulu Zhang, Huangjing Ni, Zhinan Yu, Jun Wang, Jiaolong Qin, Fengzhen Hou, Albert Yang, Alzheimer’s Disease Neuroimaging Initiative (ADNI)   +7 more
doaj   +1 more source

Functional principal component analysis of spatially correlated data [PDF]

, 2016
This paper focuses on the analysis of spatially correlated functional data. We propose a parametric model for spatial correlation and the between-curve correlation is modeled by correlating functional principal component scores of the functional data ...
Hooker, Giles, Liu, Chong, Ray, Surajit
core   +1 more source