An agent-based simulation model to compare different reproductive strategies in cow-calf operations: Technical performance

Autor: Angela Maria Gonella-Diaza, Daniel Bustos-Coral, Thayla Sara Soares Stivari Reijers, Maria Eugênia Zerlotti Mercadante, Augusto Hauber Gameiro, Guilherme Pugliesi, Gustavo Lineu Sartorello, César Gonçalves de Lima, Oscar Alejandro Ojeda-Rojas

Publikováno v: Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP

The objective of this study was to create a stochastic, agent-based simulation model of a synthetic population of beef cattle, and then use it to compare the technical performance of different reproductive strategies. The model was parameterized usin

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e12210bb9c11c88eecff51c8859d24b2
https://doi.org/10.1016/j.theriogenology.2020.10.035

Modelagem Bayesiano de regressão binária para dados desbalanceados usando novas ligações

Autor: Andson Nunes da Silva, Jorge Luis Bazán, Susan Anyosa

Publikováno v: Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP

In this work, we presented, in a didactic way, the Bayesian binary regression modeling for unbalanced data using new links functions. Under the Bayesian approach and using information criteria, predictive evaluation measures and introducing the analy

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::168940e40f9849a00734101e654f7512
https://doi.org/10.28951/rbb.v38i4.455

The polynomial-exponential distribution: a continuous probability model allowing for occurrence of zero values

Autor: Hassan S. Bakouch, Christophe Chesneau, Francisco Louzada, Pedro Luiz Ramos

Publikováno v: Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP

This paper deals with a new two-parameter lifetime distribution with increasing, decreasing and constant hazard rate. This distribution allows the occurrence of zero values and involves the exponen...

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d083ffdbfd6588f5951cf8f04130d510
https://doi.org/10.1080/03610918.2020.1746339

Improving cosmological covariance matrices with machine learning

Autor: de Santi, Natalí S. M., Abramo, L. Raul

Publikováno v: Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP

Cosmological covariance matrices are fundamental for parameter inference, since they are responsible for propagating uncertainties from the data down to the model parameters. However, when data vectors are large, in order to estimate accurate and pre

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b492f91739e117f45f4dec955c70d0a4

A Repairable System Subjected to Hierarchical Competing Risks: Modeling and Applications

Autor: Paulo H. Ferreira, José Alberto Cuminato, Hugo Francisco Lisboa Santos, Francisco Louzada, Vera Tomazella, Ivan C. Perissini, Oilson A. Gonzatto, Luis F. A. Alegría, David E. A. Martins, Seyed Reza Amini Niaki, Pedro Luiz Ramos, Oscar Mauricio Hernandez Rodriguez, Danilo Colombo

Publikováno v: Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
IEEE Access, Vol 7, Pp 171707-171723 (2019)

In this paper, we propose modeling for a single repairable system with a hierarchical structure under the assumption that the failures follow a nonhomogeneous Poisson process (which corresponds to minimal repair action) with a power-law intensity fun

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::13e608a937671639d6a439155ec9d1dc
https://doi.org/10.1109/access.2019.2954767