Zobrazeno 1 - 10
of 37
pro vyhledávání: '"Adolfo J. Quiroz"'
Publikováno v:
Revista Colombiana de Estadística, Vol 35, Iss 1, Pp 1-14 (2012)
We present a non-parametric statistic based on a linearity measure of the P-P plot for the two-sample problem by adapting a known statistic proposed for goodness of fit to a univariate parametric family. A Monte Carlo comparison is carried out to com
Externí odkaz:
https://doaj.org/article/e5ef8be1b77b4e6dadecc5ac0d23a6ba
Publikováno v:
Optimization Letters. 15:391-404
In the context of support vector machines, identifying the support vectors is a key issue when dealing with large data sets. In Camelo et al. (Ann Oper Res 235:85–101, 2015), the authors present a promising approach to finding or approximating most
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5c70b3abd59369ffbf60dd0e0749a792
https://doi.org/10.1007/s11590-020-01616-w
https://doi.org/10.1007/s11590-020-01616-w
Autor:
Gina Vargas, Santiago Cortés, Adolfo J. Quiroz, José Fernando Zea, Gustavo Nicolás Páez, Camila Franco, Carlos Castañeda, Érica Cruz, Juan Felipe Cerón
Publikováno v:
Bulletin of Mathematical Biology
This work presents a model-agnostic evaluation of four different models that estimate a disease's basic reproduction number. The evaluation presented is twofold: first, the theory behind each of the models is reviewed and compared; then, each model i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3695f8f9c35ad1b4e75c5d181e91a6c7
https://doi.org/10.1007/s11538-021-00922-3
https://doi.org/10.1007/s11538-021-00922-3
Publikováno v:
Journal of Multivariate Analysis. 173:229-247
For data living in a manifold $M\subseteq \mathbb{R}^m$ and a point $p\in M$ we consider a statistic $U_{k,n}$ which estimates the variance of the angle between pairs of vectors $X_i-p$ and $X_j-p$, for data points $X_i$, $X_j$, near $p$, and evaluat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cd95203b50fa0dd1b3e121c9ddc6e6da
https://doi.org/10.1016/j.jmva.2019.02.014
https://doi.org/10.1016/j.jmva.2019.02.014
Publikováno v:
Statistical methods in medical research. 30(7)
There is a well-established tradition within the statistics literature that explores different techniques for reducing the dimensionality of large feature spaces. The problem is central to machine learning and it has been largely explored under the u
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8645d79c3ddf9667916417d5c7d2366d
https://pubmed.ncbi.nlm.nih.gov/34074165
https://pubmed.ncbi.nlm.nih.gov/34074165
Publikováno v:
TEST. 26:503-526
The use of quadratic forms of the empirical process for the two-sample problem in the context of functional data is considered. The convergence of the family of statistics proposed to a Chi-squared limit is established under metric entropy conditions
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8546b5a2c25e39931b8c2f9a84958a4d
https://doi.org/10.1007/s11749-017-0522-x
https://doi.org/10.1007/s11749-017-0522-x
Publikováno v:
Annals of Operations Research. 235:85-101
A key issue in the practical applicability of the support vector machine methodology is the identification of the support vectors in very large data sets, a problem to which a great deal of attention has been given in the literature. In the present a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ef07e45a9968c3af7ad98a43e29359f4
https://doi.org/10.1007/s10479-015-1956-8
https://doi.org/10.1007/s10479-015-1956-8
Publikováno v:
EPJ Web of Conferences, Vol 152, p 03011 (2017)
In order to perform a supervised classification of variable stars, we propose and evaluate a set of six features extracted from the magnitude density of the light curves. They are used to train automatic classification systems using state-of-the-art
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6807641c778e9e14fe9c66e70bcf0e88
https://doaj.org/article/0b60a19809524e9db8b041735cf1598a
https://doaj.org/article/0b60a19809524e9db8b041735cf1598a
Publikováno v:
International Journal of Primatology. 35:1021-1036
Seed dispersal is known to play an important role in the ecology and evolution of plant communities, and there is ample evidence that seed dispersal by primates influences plant population dynamics in tropical forests directly. We used nonparametric
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::034396e24c4ccd1ffbd72156a9b14b8a
https://doi.org/10.1007/s10764-014-9795-z
https://doi.org/10.1007/s10764-014-9795-z
Publikováno v:
Environmental and Ecological Statistics. 21:263-283
Functional data analysis (FDA) is a set of tools developed to perform statistical analysis on data having a functional form. In our case we consider the one-dimensional wave surface profiles registered during a North-Sea storm as functional data. The
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bbbd3405e697655869224ca6c48fc96d
https://doi.org/10.1007/s10651-013-0254-3
https://doi.org/10.1007/s10651-013-0254-3