Survival Analysis based on the cumulative hazard functionAnaya-Izquierdo, KarimUniversity of Bath - UK
A Bayesian hidden Markov mixture model to detect over-expressed chromosome regionsBambirra, FlávioFederal University of Minas Gerais - Brazil
Entropic Dynamics: from Entropy and Information Geometry to Quantum MechanicsCaticha, ArielUniversity at Albany (SUNNY) - USA
Data analysis using density gradientChen, YenChiUniversity of Washington - USA
Modelling the kurtosis of spatio-temporal processesFonseca, ThaisFederal University of Rio de Janeiro - Brazil
EXONEST: The Bayesian Exoplanetary ExplorerKnuth, KevinUniversity at Albany (SUNY) - USA
Quantum Theory is not weirdSkilling, JohnMaximum Entropy Data Consultants - Ireland
Uncertainty quantification for complex computer modelsToussaint, UdoMax-Planck-Institut fuer Plasmaphysik - DE
About the Author: Adriano Polpo, Ph.D., is an Associate Professor of Statistics at the Federal University of Sao Carlos (UFSCar, Brazil). He received his B.Sc. in Statistics from the State University of Campinas, his Ph.D. in Statistics from the University of Sao Paulo, and he was Research Associate at Florida State University. He is the coordinator of the research group GIS (Group of Inductive Statistics), and is the coauthor of more than 30 publications in statistical peer-reviewed journals, books, and book chapters. Dr. Polpo has served as Head of the Department of Statistics at UFSCar and President of the ISBrA (the Brazilian Chapter of the International Society for Bayesian Analysis).
Julio Michael Stern, Ph.D., is a Full Professor at the IME-USP (Institute of Mathematics and Statistics of the University of Sao Paulo) and Research Fellow of the CNPq (Brazilian National Council for Science and Technology). He received his B.Sc. and M.Sc. in Physics from the University of Sao Paulo, his Ph.D. in Operations Research from Cornell University, and his Liv.Doc. in Computer Science from the University of Sao Paulo. He was President of the ISBrA (Brazilian Chapter of the International Society for Bayesian Analysis) from 2010 to 2012 and the organizer of MaxEnt 2008. He has published several books and articles in the areas of Epistemology and Logic, Mathematical Modeling and Operations Research, Statistical Theory and Methods, and Sparse and Structured Systems.
Francisco Louzada, Ph.D., is a Full Professor of Statistics at the Department of Applied Mathematics and Statistics, University of Sao Paulo (ICMC-USP, Brazil); Research Productivity Fellow of the Brazilian founding agency CNPq, Level 1; Director of the Center for Risk Analysis (CER); Director of the Center for Applied Mathematics and Statistics in Industry (CeMEAI); Director of Technology Transfer, and Executive Director of External Relations at the Center for Research, Innovation and Dissemination of Mathematical Science in Industry (CEPIDCeMEAI). He received his Ph.D. in Statistics from the University of Oxford. Dr. Louzada is the author or coauthor of more than 200 publications in statistical peer-reviewed journals, books, and book chapters. He has supervised more than 100 assistant researchers, post-docs, graduate students, and undergraduates.
Rafael Izbicki, Ph.D., is an Assistant Professor of Statistics at the Federal University of Sao Carlos (UFSCar, Brazil). He received his Ph.D. in Statistics from Carnegie Mellon University (CMU, USA) and his B.A. from the University of Sao Paulo (IME-USP, Brazil). He has published several papers in the areas of machine learning, nonparametric statistics, foundations of statistics, decision theory, Bayesian statistics, and high-dimensional inference.
Hellinton Hatsuo Takada, Ph.D., is Vice President of Quantitative Research at Itaú Asset Management and is co-founder and director of Blitz-Trading. Additionally, he is a Professor at the Institute of Management Foundation (FIA, Brazil), the Assunção University Center-Pontifical Catholic University (UNIFAI-PUC, Brazil) and the Carlos Drummond de Andrade Group (GCDA, Brazil). He received his B.S., M.A., and Ph.D. degrees in Engineering from the Aeronautical Institute of Technology (ITA, Brazil), and he did his post-doctorate at the Institute of Mathematics and Statistics of the University of São Paulo (IME-USP, Brazil). He is certified with CPA-20 and CGA from the Brazilian Financial and Capital Markets Association (ANBIMA, Brazil) and has a Certificate in Quantitative Finance (CQF) from CQF Institute, UK. His research interests include finance, macroeconomic modeling, Bayesian statistics, information theory, and numerical optimization.
