dc.creator | Valk, M | |
dc.creator | Pinheiro, A | |
dc.date | 2012 | |
dc.date | JUL | |
dc.date | 2014-08-01T18:22:18Z | |
dc.date | 2015-11-26T16:59:32Z | |
dc.date | 2014-08-01T18:22:18Z | |
dc.date | 2015-11-26T16:59:32Z | |
dc.date.accessioned | 2018-03-28T23:47:12Z | |
dc.date.available | 2018-03-28T23:47:12Z | |
dc.identifier | Journal Of Time Series Analysis. Wiley-blackwell, v. 33, n. 4, n. 608, n. 619, 2012. | |
dc.identifier | 0143-9782 | |
dc.identifier | WOS:000305243800006 | |
dc.identifier | 10.1111/j.1467-9892.2012.00793.x | |
dc.identifier | http://www.repositorio.unicamp.br/jspui/handle/REPOSIP/77906 | |
dc.identifier | http://repositorio.unicamp.br/jspui/handle/REPOSIP/77906 | |
dc.identifier.uri | http://repositorioslatinoamericanos.uchile.cl/handle/2250/1278215 | |
dc.description | Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP) | |
dc.description | Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) | |
dc.description | The problem of time-series discrimination and classification is discussed. We propose a novel clustering algorithm based on a class of quasi U-statistics and subgroup decomposition tests. The decomposition may be applied to any concave time-series distance. The resulting test statistics are proven to be asymptotically normal for either i.i.d. or non-identically distributed groups of time-series under mild conditions. We illustrate its empirical performance on a simulation study and a real data analysis. The simulation setup includes stationary vs. stationary and stationary vs. non-stationary cases. The performance of the proposed method is favourably compared with some of the most common clustering measures available. | |
dc.description | 33 | |
dc.description | 4 | |
dc.description | 608 | |
dc.description | 619 | |
dc.description | Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP) | |
dc.description | Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) | |
dc.description | Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP) | |
dc.description | Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) | |
dc.description | FAPESP [2007/02767-6, 2008/51097-6, 2009/14176-8] | |
dc.description | CNPq [306993/2008-2, 480919/2009-7] | |
dc.language | en | |
dc.publisher | Wiley-blackwell | |
dc.publisher | Hoboken | |
dc.publisher | EUA | |
dc.relation | Journal Of Time Series Analysis | |
dc.relation | J. Time Ser. Anal. | |
dc.rights | fechado | |
dc.rights | http://olabout.wiley.com/WileyCDA/Section/id-406071.html | |
dc.source | Web of Science | |
dc.subject | Higher-order asymptotics | |
dc.subject | non-stationary time series | |
dc.subject | non-parametric tests | |
dc.subject | stationary time series | |
dc.subject | time-series classification | |
dc.subject | time-series clustering | |
dc.subject | Classification | |
dc.subject | Discrimination | |
dc.title | Time-series clustering via quasi U-statistics | |
dc.type | Artículos de revistas | |