Zobrazeno 1 - 10
of 699
pro vyhledávání: '"de Souza, Camila A."'
Correlated survival data are prevalent in various clinical settings and have been extensively discussed in literature. One of the most common types of correlated survival data is clustered survival data, where the survival times from individuals in a
Externí odkaz:
http://arxiv.org/abs/2408.00177
Biological cells can be distinguished by their phenotype or at the molecular level, based on their genome, epigenome, and transcriptome. This paper focuses on the transcriptome, which encompasses all the RNA transcripts in a given cell population, in
Externí odkaz:
http://arxiv.org/abs/2406.00245
Functional data analysis finds widespread application across various fields. While functional data are intrinsically infinite-dimensional, in practice, they are observed only at a finite set of points, typically over a dense grid. As a result, smooth
Externí odkaz:
http://arxiv.org/abs/2405.20758
Change-point models deal with ordered data sequences. Their primary goal is to infer the locations where an aspect of the data sequence changes. In this paper, we propose and implement a nonparametric Bayesian model for clustering observations based
Externí odkaz:
http://arxiv.org/abs/2305.17631
The log-logistic regression model is one of the most commonly used accelerated failure time (AFT) models in survival analysis, for which statistical inference methods are mainly established under the frequentist framework. Recently, Bayesian inferenc
Externí odkaz:
http://arxiv.org/abs/2303.09598
In this work, we developed a new Bayesian method for variable selection in function-on-scalar regression (FOSR). Our method uses a hierarchical Bayesian structure and latent variables to enable an adaptive covariate selection process for FOSR. Extens
Externí odkaz:
http://arxiv.org/abs/2303.03521
Functional data analysis deals with data recorded densely over time (or any other continuum) with one or more observed curves per subject. Conceptually, functional data are continuously defined, but in practice, they are usually observed at discrete
Externí odkaz:
http://arxiv.org/abs/2205.13716
Autor:
Safinianaini, Negar, De Souza, Camila P.E., Roth, Andrew, Koptagel, Hazal, Toosi, Hosein, Lagergren, Jens
Publikováno v:
In Computational Biology and Chemistry December 2024 113
Considering the context of functional data analysis, we developed and applied a new Bayesian approach via Gibbs sampler to select basis functions for a finite representation of functional data. The proposed methodology uses Bernoulli latent variables
Externí odkaz:
http://arxiv.org/abs/2204.03115
Autor:
Chies-Santos, Ana L., de Souza, Rafael S., Caso, Juan P., Ennis, Ana I., de Souza, Camila P. E., Barbosa, Renan S., Chen, Peng, Cenarro, A. Javier, Ederoclite, Alessandro, Cristóbal-Hornillos, David, Hernández-Monteagudo, Carlos, López-Sanjuan, Carlos, Marín-Franch, Antonio, Moles, Mariano, Varela, Jesús, Ramió, Héctor Vázquez, Dupke, Renato, Sodré Jr., Laerte, Angulo, Raul E.
Publikováno v:
MNRAS, 516, 1, 1320 (2022)
Globular clusters (GCs) are proxies of the formation assemblies of their host galaxies. However, few studies exist targeting GC systems of spiral galaxies up to several effective radii. Through 12-band Javalambre Photometric Local Universe Survey (J-
Externí odkaz:
http://arxiv.org/abs/2202.11472