Results 31 to 40 of about 211,599 (259)

Network structure of multivariate time series [PDF]

Scientific Reports, 2015
AbstractOur understanding of a variety of phenomena in physics, biology and economics crucially depends on the analysis of multivariate time series. While a wide range tools and techniques for time series analysis already exist, the increasing availability of massive data structures calls for new approaches for multidimensional signal processing.
Lacasa L, Nicosia V, LATORA, Vito Claudio   +2 more
openaire   +4 more sources

Model-Free Prediction of Multivariate Time Series

Axioms
This paper extends a model-free prediction framework from univariate to multivariate time series. We show that, under a mild uniformly bounded first-moment condition, a multivariate time series admits a VARMA-type representation and an associated ...
Hanieh Saeidi, Adel Mohammadpour
doaj   +1 more source

Exploring Dynamic Structures in Matrix-Valued Time Series via Principal Component Analysis

Axioms, 2023
Time-series data are widespread and have inspired numerous research works in machine learning and data analysis fields for the classification and clustering of temporal data. While there are several clustering methods for univariate time series and a few
Lynne Billard, Ahlame Douzal-Chouakria, S. Yaser Samadi   +2 more
doaj   +1 more source

Impact of Metastatic Patterns on Survival and Response to Therapy in Neuroblastoma

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background While the presence of metastases in neuroblastoma (NB) is a well‐established prognostic factor, the clinical significance of dissemination patterns and tumour burden and their impact on response and survival remains poorly understood.
Mariona Morell‐Daniel, Santiago Pérez‐Hoyos, Aroa Soriano, Ana Coma, Amalia Varo, Raquel Hladun, Gabriela Guillén, Soraya Mico, Marta Garrido, Lourdes Rubio, Alba Rubio‐San‐Simón, Ana Minguez, Ricardo López‐Almaraz, Laura Illade, Miguel F. Segura, Lucas Moreno   +15 more
wiley   +1 more source

Goodness-of-Fit Tests for Copulas of Multivariate Time Series

Econometrics, 2017
In this paper, we study the asymptotic behavior of the sequential empirical process and the sequential empirical copula process, both constructed from residuals of multivariate stochastic volatility models. Applications for the detection of structural
Bruno Rémillard
doaj   +1 more source

Online Clustering of Multivariate Time-series [PDF]

Proceedings of the 2016 SIAM International Conference on Data Mining, 2016
Copyright © by SIAM. The intrinsic nature of streaming data requires algorithms that are capable of fast data analysis to extract knowledge. Most current unsupervised data analysis techniques rely on the implementation of known batch techniques over a sliding window, which can hinder their utility for the analysis of evolving structure in applications ...
Masud Moshtaghi, Christopher Leckie, James C. Bezdek   +2 more
openaire   +1 more source

Occurrence of Extramedullary Relapses in Pediatric Acute Lymphoblastic Leukemia After Treatment With Blinatumomab

Pediatric Blood &Cancer, EarlyView.
ABSTRACT We report a retrospective single‐center analysis of pediatric patients with relapsed or refractory B‐cell precursor acute lymphoblastic leukemia focusing on relapses outside of the typical locations, bone marrow, central nervous system, or testes.
Johanna Kunz, Martin Ebinger, Michaela Döring, Markus Mezger, Ursula Holzer, Rupert Handgretinger, Peter Lang, Manon Queudeville   +7 more
wiley   +1 more source

Design and analysis strategies for robust microbiome ageing research

FEBS Letters, EarlyView.
The gut microbiome changes with age and associates with age‐related morbidity and mortality, establishing it as a potential biomarker and intervention target for ageing. Realising this potential requires methodological rigour, yet distinguishing biological signals from methodological artefacts remains challenging across cohorts. This review provides an
Mark Olenik, İsmail Güderer, Yi Wang, Tayyaba Alvi, Prasoon Pandey, Handan Melike Dönertaş   +5 more
wiley   +1 more source

Eigen-entropy based time series signatures to support multivariate time series classification

Scientific Reports
Most current algorithms for multivariate time series classification tend to overlook the correlations between time series of different variables. In this research, we propose a framework that leverages Eigen-entropy along with a cumulative moving window ...
Abhidnya Patharkar, Jiajing Huang, Teresa Wu, Erica Forzani, Leslie Thomas, Marylaura Lind, Naomi Gades   +6 more
doaj   +1 more source

Data-Adaptive Dynamic Time Warping-Based Multivariate Time Series Fuzzy Clustering

IEEE Access
Multivariate time series (MTS) clustering has become a critical research area. Current methods typically rely on space projection or representation learning for clustering but tend to overlook the significance and contribution of MTS dimensions, leading ...
Qinglin Cai, Leiying Chen, Jian Shao, Ling Chen   +3 more
doaj   +1 more source