Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Daiane Aparecida Zuanetti"'
Publikováno v:
Revstat Statistical Journal, Vol 4, Iss 2 (2006)
In the insurance area, especially based on observations of the number of claims, N(w), corresponding to an exposure w, and on observations of the total amount of claims incurred, Y (w), the risk theory arises to quantify risks and to fit models of pr
Externí odkaz:
https://doaj.org/article/81ef65c2333d43879b2bdb41b01bdccf
Publikováno v:
Journal of Data Science. :1-19
One of the major climatic interests of the last decades has been to understand and describe the rainfall patterns of specific areas of the world as functions of other climate covariates. We do it for the historical climate monitoring data from Teguci
Publikováno v:
TEST. 32:350-369
Publikováno v:
Trajetórias e perspectivas para a pesquisa em matemática 2 ISBN: 9786525810508
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3e89d4723dc18ae0d6df7c7edba1d965
https://doi.org/10.22533/at.ed.50823150210
https://doi.org/10.22533/at.ed.50823150210
Publikováno v:
REVISTA BRASILEIRA DE BIOMETRIA. 39:71-88
The quantity and complexity of generated data due to advances in genetic sequencing technologies has made statistical analysis an essential tool for their correct study and interpretation. However, there is still no agreement about which methodologie
Publikováno v:
Applied Stochastic Models in Business and Industry. 37:894-907
Publikováno v:
Journal of Bioinformatics and Computational Biology. 20
In this paper, we propose a new Bayesian approach for QTL mapping of family data. The main purpose is to model a phenotype as a function of QTLs’ effects. The model considers the detailed familiar dependence and it does not rely on random effects.
Autor:
Júlia Maria Pavan Soler, Luis Aparecido Milan, Daiane Aparecida Zuanetti, José Eduardo Krieger
Publikováno v:
Statistical Methods in Medical Research. 29:2238-2249
QTL mapping is an important tool for identifying regions in chromosomes which are relevant to explain a response of interest. It is a special case of the regression model where an unknown number of missing (non-observable) covariates is involved lead
Publikováno v:
Statistics and Computing. 29:203-215
We propose two nonparametric Bayesian methods to cluster big data and apply them to cluster genes by patterns of gene---gene interaction. Both approaches define model-based clustering with nonparametric Bayesian priors and include an implementation t
Publikováno v:
Biometrics. 74:584-594
We introduce a marginal version of the nested Dirichlet process to cluster distributions or histograms. We apply the model to cluster genes by patterns of geneâgene interaction. The proposed approach is based on the nested partition that is impl