The aim of this symposium is to bring together students as well as young researchers with leading experts in the fields of Big Data, Computational Statistics, High Dimensional Data, Machine Learning and Statistical Inference/Modeling.
The Symposium will be held at CIMAT, Guanajuato.
Courses
Random matrices and high dimensional time series, Arup Bose, ISI-Calcuta
Invited Plenary Lectures
Sequential quasi-Monte Carlo: recent advances and new applications, Nicolas Chopin, ENSAE, UK
Nonparametric methods for community discovery in large sparse networks. Yulia Gel, University of Texas at Dallas; USA
Contiguity in High Dimensions, Richard Lockhart, Simon Fraser University, Canada
Learning in Auctions: Theory and Practice, Andrés Muñoz-Medina, Google, USA
Recent directions in ‘Big Data’, Vijay Nair, University of Michigan, USA
Mixture-based Clustering for Ordinal Data, Daniel Fernández Martínez, University at Albany, State University of New York (SUNY), USA
Lecture on Computer Sciences and Data Sciences
Enterprise Architecture and Data Science: A two way street, Adolfo Javier De Unánue Tiscareño, ITAM, Mexico
Lecture on Mathematics and Data Sciences
Topological Data Analysis: An emerging tool for exploratory data analysis and its links to issues in Probability and Statistics, Fermín Reveles, CIMAT, Mexico.
Special Closing Session
Celebrating the International Prize of Statistics to David Cox
David Cox, biographical sketch by Silvia Ruiz-Velasco, IIMAS, UNAM
With a live message by David Cox about Modern Data and the Future of Statistics
Invited Sessions
Research
Organizer: Luis Enrique Nieto-Barajas, ITAM, Mexico
Label Switching in Bayesian Mixture Models: deterministic relabeling strategies. Carlos E. Rodríguez Hernández Vela, Foro Consultivo Científico y Tecnológico, Mexico
Automated Bayesian charting. Juan C. Martínez-Ovando, ITAM, Mexico
Addressing voice recording replications for Parkinson's disease detection. Lizbeth Naranjo Albarrán, UNAM, Mexico
Robust and efficient modeling of extremes with the generalized Pareto distribution. Sergio F. Juárez Cerrillo, Universidad Veracruzana, Mexico
Applications
Organizer: Belem Trejo-Valdivia, INSP, Mexico
Partial Least Squares and Metabolomics. Hortensia Moreno Macias, UAM, Iztapalapa, Mexico
A subpopulation of interest when comparing oral glucose tolerance and glycosylated hemoglobin tests to identify Type 2 Diabetes. Ruth Fuentes García, UNAM, Mexico
Maternal deaths in Mexico, 2010-2014: seeking to understand individual and systemic factors through health information systems. Héctor Lamadrid Figueroa & Airaín Alejandra Montoya Rodríguez, INSP, Mexico
A new approximation to the distribution of household income in Mexico. Alfredo Bustos y de la Tijera, INEGI, Mexico
Young Statisticians
Organizer: Leticia Ramírez-Ramírez, CIMAT, Mexico
Bayesian phylogenetic inference for big data. Claudia Solis Lemus, University of Wisconsin-Madison, USA
Finding structure in grouped data by kernel smoothing. Miguel ángel Reyes Cortés, CIMAT, México
Mixture models with decreasing weights and their applications. Asael Fabian Martinez Martinez, CIMAT, Mexico
Nonparametric bootstrap inference for network degree distribution. Vyacheslav Lyubchich, University of Maryland Center for Environmental Science, USA
Poster Session
The symposium will also feature a Contributed Poster Session. Interested in presenting a contributed poster, send an email to rosa@cimat.mx which includes: Name, Institution, degree status as well as title and abstract of the proposed Poster. Deadline is August 30, 2016.
Organizers
Graciela González-Farías, CIMAT
Eduardo Gutiérrez-Peña, IIMAS, UNAM
Ramsés Mena-Chávez, IIMAS, UNAM
Víctor Pérez-Abreu, CIMAT
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