Zobrazeno 1 - 10
of 471
pro vyhledávání: '"Chacon, Jose"'
In the mean-median-mode triad of univariate centrality measures, the mode has been overlooked for estimating the center of symmetry in continuous and unimodal settings. This paper expands on the connection between kernel mode estimators and M-estimat
Externí odkaz:
http://arxiv.org/abs/2406.08241
We develop a stochastic two-patch epidemic model with nonlinear recidivism to investigate infectious disease dynamics in heterogeneous populations. Extending a deterministic framework, we introduce stochasticity to account for random transmission, re
Externí odkaz:
http://arxiv.org/abs/2405.10998
Autor:
Chacón, José E., Tenreiro, Carlos
In density estimation, the mean integrated squared error (MISE) is commonly used as a measure of performance. In that setting, the cross-validation criterion provides an unbiased estimator of the MISE minus the integral of the squared density. Since
Externí odkaz:
http://arxiv.org/abs/2404.13753
Publikováno v:
Computational Statistics and Data Analysis 196 (2024) 107961
The number of modes in a probability density function is representative of the complexity of a model and can also be viewed as the number of subpopulations. Despite its relevance, there has been limited research in this area. A novel approach to esti
Externí odkaz:
http://arxiv.org/abs/2307.05825
Publikováno v:
TEST 32 (2023) 1251-1275
Bump hunting deals with finding in sample spaces meaningful data subsets known as bumps. These have traditionally been conceived as modal or concave regions in the graph of the underlying density function. We define an abstract bump construct based o
Externí odkaz:
http://arxiv.org/abs/2208.00174
Publikováno v:
In Computational Statistics and Data Analysis August 2024 196
Autor:
Rojas-Chacón, José Andrés, Echeverría-Beirute, Fabián, Till, Bradley J., Gatica-Arias, Andrés
Publikováno v:
In Scientia Horticulturae 15 April 2024 330
Autor:
Song, Qing, Hwang, Chueh-Lung, Li, Yanhui, Wang, Jun, Park, Jooman, Lee, Samuel M., Sun, Zhaoli, Sun, Jun, Xia, Yinglin, Nieto, Natalia, Cordoba-Chacon, Jose, Jiang, Yuwei, Dou, Xiaobing, Song, Zhenyuan
Publikováno v:
In Metabolism February 2024 151
Autor:
Chacón, José E., Duong, Tarn
Higher order derivatives of functions are structured high dimensional objects which lend themselves to many alternative representations, with the most popular being multi-index, matrix and tensor representations. The choice between them depends on th
Externí odkaz:
http://arxiv.org/abs/2011.01833
Autor:
Chacón, José E., Rastrojo, Ana I.
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:
http://arxiv.org/abs/2002.03677