2012-13: MD: Transition Workshop: May 20-22, 2013

Location

This workshop was held at the Radisson Hotel, RTP.

Description

The transition workshop had three main goals:
1) Reunite the participants from all active working groups in the SAMSI Massive Datasets Program.
2) Report and review the progress of the working groups.
3) Plan for how to continue the research of the working groups beyond the SAMSI Massive Datasets Program.

The workshop consisted of talks from each working group, targeted at a broad audience. There was also time for get-togethers among participants of each working group, to prepare their final report and to plan future research activities.


Schedule and Supporting Media

Monday, May 20, 2013
Radisson RTP, Room H

Time Description Speaker Slides Videos
8:15-8:45 Registration and Continental Breakfast
8:45-9:00 Welcome and Opening Remarks
Environment & Climate
9:00-9:30 A Bayesian Hierarchical Model for Climate Change Detection and Attribution Dorit Hammerling, SAMSI  
9:30-10:00 Statistical Inference for Massive Distributed Spatial Data Using Low-Rank Models Matthias Katzfuss, Heidelberg, Germany  
10:00-10:30 The International Surface Temperature Initiative: Opportunities to engage in creating land surface air temperature datasets for the 21st Century Peter Thorne, CICS-NC  
10:30-11:00 Break
Online Streaming & Sketching
11:00-11:30 Revisiting the Nystrom Method for Improved Large-Scale Machine Learning Michael Mahoney, Stanford
11:30-12:00 Regression in High Dimensions via Geometric Multi-Resolution Analysis David Lawlor, SAMSI  
12:00-12:30 Leverage-Score Sampling for Large-Scale Linear Regression Garvesh Raskutti, SAMSI  
12:30-2:00 Lunch
High Energy Physics
2:00-2:15 Do You Speak Klingon? – The Challenges of Creating a Successful Collaboration Between Physicists and Statisticians Steffen Bass, Duke  
2:15-2:45 Towards Calibration in High-Energy Physical Models Using ATLAS Histogram Data Peter Marcy, Wyoming  
2:45-3:15 A Physicists Take on the Design and Analysis of Computer Experiments Chris Coleman-Smith, Duke  
3:15-3:30 Future Directions for Statistics in High-Energy Physics Karen Kafadar, Indiana  
3:30-5:30 Meeting of Individual WGs (discuss transition and prepare final report)
5:30 Poster Session and Reception

Tuesday, May 21, 2013
Radisson RTP, Room H

Time Description Speaker Slides Videos
8:30-9:00 Registration and Continental Breakfast
Inference
9:00-9:30 Bayesian Large-Scale Multiple Testing for Time Series Data Xia Wang, Cincinnati  
9:30-10:00 Local Polynomial Estimation of the Semi-Nonparametric Models: Joint Asymptotic Studies Tao Yu, National University of Singapore  
10:00-10:30 Large-Margin Classifier Selection via Decision Boundary Stability Yuefeng Liu, UNC
10:30-11:00 Break
Datamining & Clustering
11:00-11:30 Stochastic Data Clustering Ralph Abbey, NCSU  
11:30-12:00 Iterative Consensus Clustering Shaina Race, NCSU  
12:00-2:00 Lunch
Astrostatistics
2:00-2:30 Big-Data Inference on GPUs Tamas Budavari, Johns Hopkins  
2:30-3:00 LARK Models for Light Curves Robert Wolpert, Duke  
3:00-3:30 Levy Adaptive Regression Kernels with Applications for Gamma-Ray Burst Lightcurves Mary Beth Broadbent, Duke  
3:30-4:00 Break
Discovery & Classification in Synoptic Surveys
4:00-4:30 Challenges and Possible Solutions in Image Analysis Fabrizia Guglielmetti, Max Planck Institut, Germany  
4:30-5:00 Exploratory Analysis of Light Curves G. Jogesh Babu, Penn State  
5:00 Meeting of individual WGs (discuss transition and prepare final report)

Wednesday, May 22, 2013
Radisson RTP, Room H

Time Description Speaker Slides Videos
8:30-9:00 Registration and Continental Breakfast
Multiscale Modeling
9:00-9:30 Multiresolution Dictionary Learning for Conditional Distributions David Dunson, Duke  
9:30-10:00 Multiscale Estimation of Probability Measures in High Dimensions Mauro Maggioni, Duke  
10:00-10:30 Dynamic Multiscale Spatiotemporal Models for Poisson Data Marco Ferreira, Missouri  
10:30-11:00 Break
Imaging
11:00-11:30 Analyzing Light Curves of Astronomical Sources Ashish Mahabal, Caltech, and Lingsong Zhang, Purdue  
11:30-12:00 Compressive Inference Weihong Guo, Case Western, and Dan Yang, SAMSI  
12:00-12:30 Image Analysis and Scientific Computing Dani Ushizima, Lawrence Berkeley National Lab
12:30-2:00 Lunch
2:00-2:30 Where do we go from here? Ilse Ipsen, SAMSI and NCSU, and Richard Smith, SAMSI
2:30-5:00 Meeting of Individual WGs (discuss transition and prepare final report)
5:00 Goodbye Party