6th International Workshop on the Perspectives on High-Dimensional Data Analysis (HDDA-VI)

May 25 - 27, 2016, The Fields Institute

Location: Fields Institute, Room 230

Description

Today, more and more issues are arising in science, engineering, economics, finance, and social science involving high-dimensional data. This event will bring together researchers developing methodology for the analysis of high-dimensional data and important applications generating problems involving the analysis of high-dimensional data such as genomics, brain imaging, and environmental problems.

The proposed workshop will be the 6th in a sequence of workshops on the Perspectives on High-dimensional Data Analysis:

        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

This series of workshops is thus well established and has involved many of the most eminent researchers working in the area, with the 6th installment returning to the Fields Institute and expected to be as successful as it predecessors.

The primary objectives of the workshop are thus summarized as follows:

To discuss inference, model selection and computation for the analysis of high-dimensional data, highlight open problems, and to identify key avenues for research in theory, computation, and applications. To provide the opportunity for highly qualified personnel, including students, to interact with leading researchers in working on both theory and applications. Student poster event: each of the 10 invited student participants will present a poster outlining their research during lunch on the second day of the workshop.

HDDA-VI CANSSI

Schedule

Wednesday, May 25th, 2016
08:15 to 08:45	Registration and Coffee
08:45 to 09:00	Opening Remarks
09:00 to 09:50	Constructing Statistical Methods for High Dimensional Data Kjell Doksum, University of Wisconsin–Madison
09:50 to 10:20	Coffee Break
10:20 to 10:50	Network Connectivity Based Filtering of Microbiome Data Ekaterina Smirnova, University of Wyoming
10:50 to 11:20	Homogeneity test of covariance matrices and change-points identification with high dimensional longitudinal data Ping-Shou Zhong, Michigan State University
11:20 to 11:50	Construction of Ensemble by Exploiting Richness of Feature Variables in High-Dimensional Data with Applications in Protein Homology Jabed Tomal, University of Toronto
11:50 to 12:20	An Efficient Approach for Some Semi-Nonparametric Models Applicable to Mass-Spectrometry Data Hossein Zareamoghaddam, Western University
12:20 to 13:30	Lunch
13:30 to 14:00	Graphical models and time-varying graphical models for estimating brain networks Ivor Cribben, Alberta School of Business, University of Alberta
14:00 to 14:30	Covariate-Adjusted Semiparametric Transformation Graphical Models with Applications to Time Series Imaging Data Guoqing Diao, George Mason University
14:30 to 15:00	Joint Structural Estimation of Multiple Graphical Models George Michailidis, U of Florida
15:00 to 15:30	A new graphical approach for quick and exact simulation of correlated discrete variables Bei Jiang, University of Alberta
15:30 to 16:00	Coffee Break
16:00 to 16:30	Hypercube Fits to the Multivariate Linear Model Rudolf Beran, University of California, Davis
16:30 to 17:00	Recent Developments in Topological Data Analysis Rachel Levanger, Rutgers University
17:00 to 17:30	New Estimation and Model Selection Methods in Heterogeneous Time Series Models Abbas Khalili, McGill University
17:30 to 18:00	Quantile regression with varying coefficients for functional responses linglong Kong, University of Alberta

Thursday, May 26th, 2016
08:30 to 09:00	Coffee Break
09:00 to 09:50	Robust Low-Rank Matrix Recovery Jianqing Fan, Princeton University
09:50 to 10:20	Coffee Break
10:20 to 10:50	Large scale multiple testing for clustered signals Hongyuan Cao, University of Missouri
10:50 to 11:20	Integrative genetical genomics analysis incorporating network structures Yuehua Cui, Michigan State University
11:20 to 11:50	Neyman-Pearson Classication under High-Dimensional Settings Yang Feng, Columbia University
11:50 to 12:20	Promote similarity in integrative analysis Shuangge Ma, Yale University
12:20 to 13:30	Lunch
13:30 to 14:00	On error variance estimation in Lasso Gokhan Yildirim, York University
14:00 to 14:30	Group Selection in A Semiparametric Accelerated Failure Time Model Xuewen Lu, University of Calgary
14:30 to 15:00	Variable selection in the presence of nonignorable missing data Jiwei Zhao, State University of New York at Buffalo
15:00 to 15:30	Classification with Ultrahigh-Dimensional Features Yi Li, U of Michigan
15:30 to 16:00	Coffee and Poster Session
16:00 to 16:30	Trade-off between Efficiency and Robustness in Post-Model Selection Inference Anand Vidyashankar, George Mason University
16:30 to 17:00	Stein-Type Generalized Ridge Regression in High-Dimensional Sparse Models Bahadır Yüzbaşı, Inonu University
17:00 to 17:30	Shrinkage and pretest estimators for longitudinal data analysis under partially linear models Shakhawat Hossain, University of Winnipeg
17:30 to 18:00	False discovery rate estimation with covariates Kun Liang, University of Waterloo

Friday, May 27th, 2016
08:30 to 09:00	Coffee
09:00 to 09:30	Imputation Methods and Survival Regression FOLEFAC ATEM, The University of Texas Health Science Center at Houston
09:30 to 10:00	Network Reconstruction From High Dimensional Ordinary Differential Equations Ali Shojaie, University of Washington
10:00 to 10:30	Semiparametric Trend estimation of multivariate time series with controlled smoothness L. Leticia Ramirez-Ramirez, Centro de Investigacion en Matematicas
10:30 to 11:00	Coffee Break
11:00 to 11:30	Scalable semiparametric inference for the means of heavy-tailed distributions Matt Taddy, Microsoft Research + Chicago Booth
11:30 to 12:00	From Pixels to Points: Using Tracking Data to Measure Performance in Profes- sional Sports Luke Bornn, Simon Fraser University
12:00 to 13:00	Lunch
13:00 to 13:30	Fast nonparametric bootstrap for the inference on degree distribution in random networks Slava Lyubchich, UMCES
13:30 to 14:00	Bayesian Clustering of Data and Dimensions Vahid Partovi Nia, Polytechnique Montréal
14:00 to 14:30	Penalty-Free High-Dimensional Regression Model and Variable Selection Mohamed Amezziane, Central Michigan University
14:30 to 15:30	Panel Discussions - future directions

A detailed program in PDF can be viewed at this link.

Sponsorship

Proceedings

Previous HDDA meetings have led to the following edited volumes:
    1. Ahmed, S. Ejaz, ed. Perspectives on Big Data Analysis: Methodologies and Applications. Vol. 622. American Mathematical Society, 2014.
    2. Ahmed, S. Ejaz, ed. Big and Complex Data Analysis: Statistical Methodologies and Applications, to be published by Springer, 2016.
    Another volume is planned to cover contributions made to HDDA-VI.

Invited Participants
Confirmed Keynote Speakers

Jianqing Fan, Princeton University
Kjell Doksum, University of Wisconsin, Madison

Confirmed Speakers

Mohamed Amezziane, Central Michigan University
Rudy Beran UC Davis
Luke Bornn, Harvard University
Hongyuan Cao, University of Missouri
Ivor Cribben, University of Alberta
Guoqing Diao, George Mason University
Xiaoli Gao, UNC, Greensboro
Bei Jiang, University of Alberta
Xiaoli Gao, UNC, Greensboro
Abbas Khalili, McGill University
Linglong Kong, University of Alberta
Rachel Levanger, Rutgers University
Yi Li, University of Michigan
Kun Liang, University of Waterloo
Xuewen Lu, University of Calgary
Slava Lyubchich, UMCES
Shuangge Ma, Yale University
George Michailidis, University of Michigan
L. Leticia Ramirez-Ramirez, ITAM and UTD
Ali Shojaie, University of Washington
Peter Song, University of Michigan
Matt Taddy, University of Chicago
Jabed H. Tomal, University of Toronto
Anand Vidyashankar, George Mason University
Gokhan Yildirim, York University
Jiwei Zhao, SUNY-Buffalo
Ping Shou Zhong, Michigan State University

Student Participants

To be announced

Application for Travel Support for Students

Travel support (up to $400) will be provided for 10 graduate students. Deadline to apply is May 1, 2016.

Registration Information

Fees:

Before April 25:

Regular rate: $150

Students and PDF: $100

After April 25:

Regular rate: $250

Students and PDF: $150

Registration also available on site on May 25th and 26th.

Registration fees cover conference material and coffee breaks.

Schedule

This workshop will run from May 25-27 at the Fields Institute. Schedule to be announced.

Abstract Submissions

Please click on this link to submit abstracts or posters.

To view all abstracts, please click here.

Poster Presentation Details

There are eight spaces to present posters of any size and 15 poster stands that can accommodate posters of 3 feet by 2 feet.

Registered Participants

Name	Affiliation
Ejaz Ahmed	Brock University
Mohamed Amezziane	Central Michigan University
FOLEFAC ATEM	The University of Texas Health Science Center at Houston
Rudolf Beran	University of California, Davis
Elnaz Bigdeli	University of Ottawa
Malcolm Binns	Baycrest
Luke Bornn	Simon Fraser University
Hongyuan Cao	University of Missouri
Ivor Cribben	Alberta School of Business, University of Alberta
Yuehua Cui	Michigan State University
Guoqing Diao	George Mason University
Arman Didandeh	Western University
Kjell Doksum	University of Wisconsin–Madison
Jianqing Fan	Princeton University
Wenying Feng	Trent University
Yang Feng	Columbia University
Yulia Gel	University of Texas at Dallas
Mihai Giurcanu	University of Florida
Shirin Golchi	University of British Columbia
Shakhawat Hossain	University of Winnipeg
Bei Jiang	University of Alberta
Lai Jiang	Lady Davis Institute
Abbas Khalili	McGill University
linglong Kong	University of Alberta
khadija Krichel	McMaster University
Rachel Levanger	Rutgers University
Kun Liang	University of Waterloo
Longhai Li	University of Saskatchewan
Yi Li	U of Michigan
Xuewen Lu	University of Calgary
Slava Lyubchich	UMCES
Shuangge Ma	Yale University
George Michailidis	U of Florida
Georges Monette	York University
Elfreda Nartey	Brock University
Farouk Nathoo	UVic
Kusha Nezafati	University of Texas at Dallas
Vahid Partovi Nia	Polytechnique Montréal
Eugene Opoku	Brock University
Jeffrey Picka	University of New Brunswick
L. Leticia Ramirez-Ramirez	Centro de Investigacion en Matematicas
Stephen Rush	University of Guelph
Anna Theresa Santiago	University of Toronto
Alessandro Selvitella	McMaster University
Ali Shojaie	University of Washington
Ekaterina Smirnova	University of Wyoming
Peter Song	University of Michigan
Kelly Sunderland	Baycrest
Matt Taddy	Microsoft Research + Chicago Booth
Jabed Tomal	University of Toronto
Cristina Tortora	McMaster University
Anand Vidyashankar	George Mason University
Roman Viveros-Aguilera	McMaster University
Medhanie Weldemariam	Linköping University
Kai Yang	McMaster University
Faezeh Yazdi	Brock University
Gokhan Yildirim	York University
Dengdeng Yu	University of Alberta
Bahadır Yüzbaşı	Inonu University
Hossein Zareamoghaddam	Western University
Jiwei Zhao	State University of New York at Buffalo
Ping-Shou Zhong	Michigan State University