Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Jairo Fuquene"'
Autor:
Patiño, Jairo Fúquene, Adair, Tim
Civil registration and vital statistics (CRVS) systems should be the primary source of mortality data for governments. Accurate and timely measurement of the completeness of death registration helps inform interventions to improve CRVS systems and to
Externí odkaz:
http://arxiv.org/abs/2310.01800
Publikováno v:
Journal of the Royal Statistical Society Series B: Statistical Methodology. 81:809-837
Summary Choosing the number of mixture components remains an elusive challenge. Model selection criteria can be either overly liberal or conservative and return poorly separated components of limited practical use. We formalize non-local priors (NLPs
Publikováno v:
Braz. J. Probab. Stat. 28, no. 2 (2014), 288-299
In this paper, we propose a new wide class of hypergeometric heavy tailed priors that is given as the convolution of a Student-t density for the location parameter and a Scaled Beta 2 prior for the squared scale parameter. These priors may have heavi
Autor:
Jairo Fuquene
Publikováno v:
Comunicaciones en Estadística; Vol. 6, Núm. 2 (2013); 221-224
Comentario sobre el artículo de Luis Carlos Silva
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::56a2e7e402892f4a5973a8bc2717bdd7
https://revistas.usantotomas.edu.co/index.php/estadistica/article/view/1104
https://revistas.usantotomas.edu.co/index.php/estadistica/article/view/1104
The traditional time series methodology requires at least a preliminary transformation of the data to get stationarity. On the other hand, Robust Bayesian Dynamic Models (RBDMs) do not assume a regular pattern or stability of the underlying system bu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::85b019a5a77bd1373ba3a794e1ad934f
http://arxiv.org/abs/1303.6073
http://arxiv.org/abs/1303.6073
Autor:
Moises Delgado, Jairo Fuquene
Publikováno v:
Braz. J. Probab. Stat. 26, no. 3 (2012), 279-287
The usual Bayesian approach for count data is Gamma/Poisson conjugate analysis. However, in this conjugate analysis the influence of the prior distribution could be dominant even when prior and likeli- hood are in conflict. Our proposal is an analysi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0ee361c82cac59d4314194ad2d115800
http://projecteuclid.org/euclid.bjps/1333632165
http://projecteuclid.org/euclid.bjps/1333632165
Publikováno v:
Bayesian Anal. 4, no. 4 (2009), 817-846
Bayesian analysis is frequently confused with conjugate Bayesian analysis. This is particularly the case in the analysis of clinical trial data. Even though conjugate analysis is perceived to be simpler computationally (but see below, Berger's prior)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8b3f768b85fc13f8471c947c842ff766
http://projecteuclid.org/euclid.ba/1340369826
http://projecteuclid.org/euclid.ba/1340369826
Publikováno v:
Revista Colombiana de Estadística, Vol 34, Iss 2, Pp 333-345 (2011)
A useful technique from the subjective Bayesian viewpoint, is to ask the subject matter researchers and other parties involved, such as pharmaceutical companies and regulatory bodies, for reasonable optimistic and pessimistic priors regarding the eff
Externí odkaz:
https://doaj.org/article/a56534a7024f4d09813503504f968efe