Jairo Fúquene Patiño         

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I am a postdoctoral associate at Duke in the Bayesian department  of Statistical Science. I am working in the areas of Bayesian entity resolution and small area estimation from a Bayesian view point.

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Education:

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I did my PhD (September 2013 – July 2018) in Statistics in the University of Warwick (UK) under the supervision of Professors Mark Steel and David Rossell. I received the Harrison Award for a Highly Commended PhD Thesis. I have a master degree in mathematics from the University of Puerto Rico (Puerto Rico), a  master degree in statistics and applied mathematics from the University of California, Santa Cruz (USA) and a bachelor in statistics from the National University of Colombia (Colombia)

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Representative papers:

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J. Fúquene Patiño, M. Steel and D, Rosell. On choosing mixture components via non-local priors (2019).  81, 5, 809-837. Journal of the Royal Statistical Society, Series B .

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J. Fúquene Patiño  and  Brenda Betancourt and João B. M. Pereira (2018). A weakly informative prior for Bayesian dynamic model selection with applications in fMRI. Journal of Applied Statistics 45 (7), 1173-1192. Technical report 

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J. Fúquene Patiño, M. E. Perez, and L. R. Pericchi (2014).  An alternative to the Inverted Gamma for the variances to modelling outliers and structural breaks in dynamic models Brazilian Journal Of Probability and Statistics. Vol. 28, No. 2, 288–299.

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J. Fúquene Patiño, J. D. Cook and L.R. Pericchi (2009) A Case for Robust Bayesian Priors with Applications to Clinical Trials, pp. 817 - 846, Bayesian Analysis.

J. Fúquene Patiño (2015) A Semi-parametric Bayesian Extreme Value Model using a Dirichlet Process Mixture of Gamma densities. Journal of Applied Statistics, Volume 42, Number 2, 1 February 2015, pp. 267-280 (14). Technical report

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NEWS

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• January  2020. I am going to the Awesome Bayesian Conference, Gainesville, Florida: Bayes Comp 2020.  

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• December 2019. Review for Journal of the American Statistical Association (Case Studies). 

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• October 2019. I am going to the awesome conference on small area estimation given by Malay Gosh in the 28th Annual Morris Hansen Lecture, Washington D.C.  

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• Postdoctoral Associate, Department of Statistical Science. Duke University. 

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• July 2019. Simposio Nacional de Estadística, Colombia. Plenary speaker.  Bayesian population projections.

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• June 2019. Our paper with Mark Steel and David Rossell: On choosing mixture components via non-local priors has been accepted for publication in the premier journal in statistics: Journal of the Royal Statistical Society, Series B.  

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• June 2019. I am a winner of the Harrison Award for a Highly Commended PhD Thesis.  

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• June 2019. I was invited to review a PhD thesis for the Department of Statistics, National University of Colombia.  

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• January 2019. Paper review for Bayesian Analysis.

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• November (2018). I will give a talk about Bayesian population projections for Colombia in the workshop on completeness in vital statistics.

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• I am going to the workshop on Bayesian population projections organized by the UNFPA, Puebla Mexico 2018.

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• November (2018). the video of my talk in 2018 ISBA World Meeting, Edinburgh can be found here: video.

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• September (2018). I was invited to review a paper in Bayesian Analysis (The Journal).

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• July (2018). I pass mi PhD viva at the University of Warwick.

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• June (2018). The new version of our paper: On choosing mixture components via non-local priors  In revision for JRSSB.

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• Invited Talk. Workshop on small area estimation. Brazil. 2018.  

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• I am going to the small area estimation workshop, Ecuador, 2018  

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• Bayesian Young Statistician Meeting 2018, UK  

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• May (2008). I was invited to give a talk at ISBA, UK 

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• March (2018). I was invited to give a talk at the Universidade Federal do Rio de Janeiro. Brazil.

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