Zobrazeno 1 - 10
of 54
pro vyhledávání: '"Valk, Marcio"'
In this work, we introduce a three-step semiparametric methodology for the estimation of production frontiers. We consider a model inspired by the well-known Cobb-Douglas production function, wherein input factors operate multiplicatively within the
Externí odkaz:
http://arxiv.org/abs/2311.06086
A wide range of approaches for batch processes monitoring can be found in the literature. This kind of process generates a very peculiar data structure, in which successive measurements of many process variables in each batch run are available. Tradi
Externí odkaz:
http://arxiv.org/abs/2109.00952
Inference in clustering is paramount to uncovering inherent group structure in data. Clustering methods which assess statistical significance have recently drawn attention owing to their importance for the identification of patterns in high dimension
Externí odkaz:
http://arxiv.org/abs/2106.09115
Publikováno v:
In Journal of Process Control December 2023 132
Autor:
Pumi, Guilherme, Valk, Marcio, Bisognin, Cleber, Bayer, Fábio Mariano, Prass, Taiane Schaedler
In this work we introduce the class of beta autoregressive fractionally integrated moving average models for continuous random variables taking values in the continuous unit interval $(0,1)$. The proposed model accommodates a set of regressors and a
Externí odkaz:
http://arxiv.org/abs/1807.10338
Autor:
Valk, Marcio, Cybis, Gabriela Bettella
Clustering methods are a valuable tool for the identification of patterns in high dimensional data with applications in many scientific problems. However, quantifying uncertainty in clustering is a challenging problem, particularly when dealing with
Externí odkaz:
http://arxiv.org/abs/1805.12179
Genetic data are frequently categorical and have complex dependence structures that are not always well understood. For this reason, clustering and classification based on genetic data, while highly relevant, are challenging statistical problems. Her
Externí odkaz:
http://arxiv.org/abs/1606.03376
Autor:
Valk, Marcio
Publikováno v:
Repositório Institucional da UnicampUniversidade Estadual de CampinasUNICAMP.
Orientador: Aluísio de Souza Pinheiro
Tese (doutorado) - Universidade Estadual de Campinas, Instituto de Matemática Estatítica e Computação Científica
Made available in DSpace on 2018-08-17T14:57:09Z (GMT). No. of bitstreams: 1 Valk_M
Tese (doutorado) - Universidade Estadual de Campinas, Instituto de Matemática Estatítica e Computação Científica
Made available in DSpace on 2018-08-17T14:57:09Z (GMT). No. of bitstreams: 1 Valk_M
Externí odkaz:
http://repositorio.unicamp.br/jspui/handle/REPOSIP/307526
Autor:
de Oliveira, Marllon José Karpeggiane1 (AUTHOR), Valk, Marcio2 (AUTHOR), Melo, Antônio Diego Brandão1 (AUTHOR), Marçal, Danilo Alves1 (AUTHOR), Silva, Cleslei Alisson1 (AUTHOR), Valini, Graziela Alves da Cunha1 (AUTHOR), Arnaut, Pedro Righetti1 (AUTHOR), Gonçalves, Joseane Penteado Rosa1 (AUTHOR), Andretta, Ines3 (AUTHOR), Hauschild, Luciano1 (AUTHOR) luciano.hauschild@unesp.br
Publikováno v:
Animals (2076-2615). Mar2023, Vol. 13 Issue 5, p908. 15p.
Autor:
Filho, Danilo Marcondes, Valk, Marcio
Publikováno v:
In European Journal of Operational Research 16 August 2020 285(1):296-305