Zobrazeno 1 - 10
of 650
pro vyhledávání: '"Louzada, Francisco"'
Autor:
Giordani, Luiz, Darú, Gilsiley, Queiroz, Rhenan, Buzinaro, Vitor, Neiva, Davi Keglevich, Guzmán, Daniel Camilo Fuentes, Henriques, Marcos Jardel, Junior, Oilson Alberto Gonzatto, Louzada, Francisco
The proliferation of fake news has become a significant concern in recent times due to its potential to spread misinformation and manipulate public opinion. This paper presents a comprehensive study on detecting fake news in Brazilian Portuguese, foc
Externí odkaz:
http://arxiv.org/abs/2309.11052
Autor:
Panham, Diogo Silva1 (AUTHOR), Louzada, Francisco1 (AUTHOR), Ramos, Pedro L.1,2 (AUTHOR) pedro.ramos@mat.uc.cl
Publikováno v:
Scientific Reports. 5/14/2024, Vol. 14 Issue 1, p1-14. 14p.
Publikováno v:
In Journal of Computational and Applied Mathematics 1 August 2024 445
Autor:
Egbon, Osafu Augustine, Belachew, Asrat Mekonnen, Bogoni, Mariella Ananias, Babalola, Bayowa Teniola, Louzada, Francisco
Publikováno v:
In Spatial Statistics April 2024 60
Autor:
Nascimento, Diego C, Ramos, Pedro Luiz, Elal-Olivero, David, Cortes-Araya, Milton, Louzada, Francisco
Normality is the most often mathematical supposition used in data modeling. Nonetheless, even based on the law of large numbers (LLN), normality is a strong presumption given that the presence of asymmetry and multi-modality in real-world problems is
Externí odkaz:
http://arxiv.org/abs/2105.00031
The maximum likelihood estimator (MLE) is pivotal in statistical inference, yet its application is often hindered by the absence of closed-form solutions for many models. This poses challenges in real-time computation scenarios, particularly within e
Externí odkaz:
http://arxiv.org/abs/2102.07356
Autor:
Ramos, Eduardo, Egbon, Osafu A., Ramos, Pedro L., Rodrigues, Francisco A., Louzada, Francisco
The present paper introduces a fully objective Bayesian analysis to obtain the posterior distribution of an entropy measure. Notably, we consider the gamma distribution, which describes many natural phenomena in physics, engineering, and biology. We
Externí odkaz:
http://arxiv.org/abs/2012.14081
Autor:
Ramos, Pedro L., Guzman, Daniel C. F., Mota, Alex L., Saavedra, Daniel A., Rodrigues, Francisco A., Louzada, Francisco
In this review, we present a simple guide for researchers to obtain pseudo-random samples with censored data. We focus our attention on the most common types of censored data, such as type I, type II, and random censoring. We discussed the necessary
Externí odkaz:
http://arxiv.org/abs/2011.08417
Spatial documentation is exponentially increasing given the availability of Big IoT Data, enabled by the devices miniaturization and data storage capacity. Bayesian spatial statistics is a useful statistical tool to determine the dependence structure
Externí odkaz:
http://arxiv.org/abs/2009.14371
The Roman Empire shaped Western civilization, and many Roman principles are embodied in modern institutions. Although its political institutions proved both resilient and adaptable, allowing it to incorporate diverse populations, the Empire suffered
Externí odkaz:
http://arxiv.org/abs/2008.10344