2013-14: LDHD: Transition Workshop: May 12-14, 2014


The workshop was held at the North Carolina Biotechnology Center (NCBC), a couple of minutes walk from SAMSI.


The goals of the workshop were:

  1. To reunite the participants from all active working groups in the SAMSI LDHD Program.
  2. To report and to review the progress of the working groups.
  3. To foster continuation of the research of the working groups beyond the SAMSI LDHD Program.

The active research working groups of the LDHD program are:

  • High-dimensional graphical models
  • Statistical dimension for graphical model selection
  • Probabilistic modeling on moduli spaces
  • Statistical methods for Topological Data Analysis
  • Genetics and genomics
  • Image analysis, signal analysis, computer vision
  • Statistical inference for large matrices under complexity constraints
  • Semi-parametric models
  • Inference: dimension reduction
  • Nonlinear low-dimensional structures in high-dimensions for biological data
  • Data analysis on Hilbert manifolds and their applications
  • Online streaming and sketching

Questions: email ldhd@samsi.info

Schedule and Supporting Media

Participant List
Speakers Titles Abstracts
Poster Titles

Monday, May 12, 2014
Hamner Conference Center

Time Description Speaker Slides Videos
8:30-9:00 Registration
9:00-9:15 Welcome and Introductions
High-Dimensional Graphical Models
9:15-9:45 Statistical Dimension and Conic Geometry of Gaussian Graphical Models Elizabeth Gross, North Carolina State University pdf
9:45-10:15 High Dimensional Bayesian Inference for Gaussian Directed Acyclic Graph Models Helene Massam, York University pdf
10:15-10:30 Break
Probabalistic Modeling on Moduli Spaces / Statistical Methods for Topological Data Analysis
10:30-11:00 Statistical Inference with Topological Features Bailey Fosdick, SAMSI
11:00-11:30 Topological Analysis of Stratified Geometric Data Ezra Miller, Duke University pdf
11:30-12:00 Discussion
12:00-1:30 Lunch (Galleria)
Genetics and Genomics
1:30-2:00 Estimation of High Dimensional Directed Acyclic Graphs using eQTL Data Wei Sun, University of North Carolina
2:00-2:30 Genetic Association Analysis for Multiple Continuous Secondary Phenotypes in Whole Genome Sequencing Data Chuanhua Xing, AstraZeneca–MedImmune
2:30-3:00 Discussion
3:00-3:30 Break
Image Analysis, Signal Analysis, Computer Vision
3:30-4:00 Image Warping for the Low-Rank Representation of Batches of Images Oleg Makhnin, New Mexico Tech pdf
4:00-4:30 Fast Subspace Search via Grassmannian Based Hashing Xu Wang, University of Minnesota pdf
4:30-5:00 Discussion
5:00-7:00 Poster Session and Reception

Tuesday, May 13, 2014
Hamner Conference Center

Time Description Speaker Slides Videos
9:00-9:15 Registration
Statistical Inference for Large Matrices under Complexity Constraints
9:15-9:45 Gaussian DAG Models with Symmetries Emanuel Ben-David, Columbia University
9:45-10:15 High-dimensional and Sparse MANOVA Yin Xia, University of North Carolina
10:15-10:30 Break
Semi-Parametric Models
10:30-11:00 Nonparametric Inference in Generalized Functional Linear Models Zuofeng Shang, Purdue University
11:00-11:30 Bootstrapping High Dimensional Vector: Interplay Between Dependence and Dimensionality Xianyang Zhang, University of Missouri pdf
11:30-12:00 Discussion
12:00-1:30 Lunch (Galleria)
Inference: Dimension Reduction
1:30-2:00 Robust Nonnegative Matrix Factorization: Modern Dimension Reduction Procedure for Big Noisy Data Set Yifan Xu, Case Western Reserve pdf
2:00-2:30 Nested Nonnegative Cone Analysis Lingsong Zhang, Purdue University pdf
2:30-3:00 Discussion
3:00-3:30 Break
Nonlinear Low-Dimensional Structures in High-Dimensions for Biological Data
3:30-4:00 Significance in Scale Space< J.S. Marron, University of North Carolina pdf
4:00-4:30 Linkage Between Topological Data Analysis and Kernel Density Estimation Jungsik Noh, Seoul National University
4:30-5:00 Discussion

Wednesday, May 14, 2014
Hamner Conference Center

Time Description Speaker Slides Videos
9:00-9:15 Registration
Data Analysis on Hilbert Manifolds and their Applications
9:15-9:45 Regression Analysis of Manifold-valued Data Emil Cornea, University of North Carolina pdf
9:45-10:15 Data Analysis on Hilbert Manifolds Victor Patrangenaru, Florida State University pdf
10:15-10:30 Break
Online Streaming and Sketching
10:30-11:00 The Hidden Convexity of Spectral Clustering Mikhail Belkin, Ohio State University
11:00-11:30 Global and Local Connectivity Analysis of Galactic Spectra David Lawlor, SAMSI & Duke University pdf
11:30-12:00 Discussion
12:00-1:30 Lunch (Galleria)