11-01-2017
The technical development is allowing scientist to collect data of increasingly unprecedented size and complexity. Many times this data consist in hundred and thousand observations across subjects (or units) generating massive high-dimensional datasets. Examples include epigenomic data, genomic data, proteomic data, high-resolution image data, high frequency financial data, functional and longitudinal data, and network data.This wealth of information has originated new problems (such as collinearity and high-dimensionality analysis) faced by new statistical development to solve problems such as variable selection, parameter estimation, clustering and prediction.
The purpose of this workshop is to foster the interaction of researcher in the area of high-dimensional data analysis and stimulate research. It will provide a venue for participants to meet leading researches of this field in an intimate setting, providing maximal chance for interaction and discussion. The objectives include:
Highlighting and expanding the breadth of existing methods in high-dimensional data analysis and their potential for the advance of both mathematical and statistical sciences;
Identifying important directions for future research in the theory of regularization methods, in algorithmic development, and in methodology for different application areas;
Facilitating collaboration between theoretical and subject-area researchers; and
Providing opportunities for highly qualified personnel to meet and interact with leading researchers from countries around the world.
This workshop is the 7th in a sequence of workshops on the Perspectives on High-dimensional Data Analysis that took place in:
HDDA-I, Fields Institute, 2011
HDDA-II, Centre de Recherches Mathématiques, 2012
HDDA-III, University of British Columbia, 2013
HDDA-IV, Banff International Research Station, 2014
HDDA-V, University of Victoria, 2015
HDDA-VI, Fields Institute, 2016
The HDDA workshops are well established and have involved many of the most eminent researchers working in the area. This 7th installment is for the first time taking place in Mexico and expected to be as successful as it predecessors.
Invitation to organize mini-symposia
We welcome researchers who are interested in organizing mini-symposia on related topics. If you are interested in doing so, please contact the Scientific Committee. Chair, S. Ejaz Ahmed at seahmed12@gmail.com with the Topic and a mini-symposia abstract (50 words or less). If it is accepted, you will be a Scientific Program Committee Member.
Students Support
Shared accommodation at CIMAT’s hotel (CIMATEL) will be provided for up to 21 participants without travel support.
Scientific Committee
Ejaz Ahmed, Brock University
Yang Feng, Columbia University
Yulia Gel, University of Texas at Dallas
Farouk Nathoo, University of Victoria
Local Committee
Leticia Ramírez-Ramírez, CIMAT
Keynote Speakers
Confirmed Invited Speakers
Michael Daniels, University of Texas at Austin
Carolina Euan, KAUST
Graciela González-Farías, CIMAT
Linglong Kong, University of Alberta
Jorge Mateu Mahiques, Universitat Jaume I
George Michailidis, University of Michigan
Víctor Pérez-Abreu, CIMAT
Peter Song, University of Michigan
Matt Taddy, Microsoft Research
Gokhan Yildirim, Imperial College London
Contributed sessions and poster sessions
The workshop will also feature Contributed talks and poster sessions.
More information: hdda-vii@cimat.mx
