Zobrazeno 1 - 10
of 75
pro vyhledávání: '"José E. Chacón"'
Autor:
Ricardo Cao, José E. Chacón
Publikováno v:
Journal of Nonparametric Statistics. 34:555-569
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f1e33f9f8641e6c322daacbb04ed4572
https://doi.org/10.1080/10485252.2022.2108288
https://doi.org/10.1080/10485252.2022.2108288
Publikováno v:
Revista Chapingo: Serie Ciencias Forestales y del Ambiente, Vol 21, Iss 1, Pp 57-65 (2015)
Resumen L a mayoría de los estudios dendrocronológicos se basan en la relación del crecimiento radial y la precipitación; sin embargo, pocos estudios han considerado las respuestas de la madera temprana (EW, por sus siglas en inglés) y tardía (
Externí odkaz:
https://doaj.org/article/9a34b1945ba3404d92c7b709f2a476d4
Autor:
José E. Chacón
Publikováno v:
Journal of Classification. 38:257-263
The problem of maximizing (or minimizing) the agreement between clusterings, subject to given marginals, can be formally posed under a common framework for several agreement measures. Until now, it was possible to find its solution only through numer
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3d75eca0b1ae0cfedfdde9c850dd494f
https://doi.org/10.1007/s00357-020-09375-0
https://doi.org/10.1007/s00357-020-09375-0
Autor:
José E. Chacón, Amparo Baíllo
Publikováno v:
Handbook of Statistics ISBN: 9780323852005
The home range of an individual animal describes the geographic area where it spends most of the time while carrying out its common activities (eating, resting, reproduction, etc.). Motivated by the abundance of home range estimators, our aim is to r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fa9103aa3b9470d64cf7930264d30992
https://doi.org/10.1016/bs.host.2020.10.002
https://doi.org/10.1016/bs.host.2020.10.002
Autor:
José E. Chacón, Amparo Baíllo
Publikováno v:
J Appl Stat
The home range of an animal describes the geographic area where this individual spends most of the time while doing its usual activities. From a statistical viewpoint, the problem of home range estimation can be considered as a set estimation one. In
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::630df23b28c949edc2d05c3ef5bb8eab
https://europepmc.org/articles/PMC9042166/
https://europepmc.org/articles/PMC9042166/
Autor:
José E. Chacón, Ana I. Rastrojo
The adjusted Rand index (ARI) is commonly used in cluster analysis to measure the degree of agreement between two data partitions. Since its introduction, exploring the situations of extreme agreement and disagreement under different circumstances ha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8dfeb8bcb80b92a33487334ecf29aea9
http://arxiv.org/abs/2002.03677
http://arxiv.org/abs/2002.03677
Autor:
José E. Chacón
Publikováno v:
Advances in Data Analysis and Classification. 13:379-404
The two most extended density-based approaches to clustering are surely mixture model clustering and modal clustering. In the mixture model approach, the density is represented as a mixture and clusters are associated to the different mixture compone
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fe5edf776806a465e461265505786911
https://doi.org/10.1007/s11634-018-0308-3
https://doi.org/10.1007/s11634-018-0308-3
Autor:
José E. Chacón
The misclassification error distance and the adjusted Rand index are two of the most common criteria used to evaluate the performance of clustering algorithms. This paper provides an in-depth comparison of the two criteria, with the aim of better und
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f9091288733d695414700506d9941be0
http://arxiv.org/abs/1907.11505
http://arxiv.org/abs/1907.11505
Publikováno v:
Electron. J. Statist. 14, no. 1 (2020), 835-856
Density-based clustering relies on the idea of linking groups to some specific features of the probability distribution underlying the data. The reference to a true, yet unknown, population structure allows to frame the clustering problem in a standa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d26e859d45cc06468e71a8e0219fc119
Autor:
José E. Chacón
Recently, a number of statistical problems have found an unexpected solution by inspecting them through a "modal point of view". These include classical tasks such as clustering or regression. This has led to a renewed interest in estimation and infe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::95195df85c293435ef1198dd6922d54a
http://arxiv.org/abs/1807.02789
http://arxiv.org/abs/1807.02789