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CoDA Poster Session

The posters at CoDA will showcase exciting statistical and data analysis work that could lead to future collaborations. Starting with the mixer and poster session on the first evening of the conference, the posters will be featured for the rest of the week.

New! Technometrics will publish a special issue of the journal featuring work presented at CoDA. All CoDA poster presenters are encouraged to submit a paper for consideration by June 1, 2012. More details will be available during the conference.

Update: Highlights of the special CoDA 2012 issue of Technometrics are available in the November 2013 issue of Amstat News. This issue includes 6 papers by CoDA 2012 poster presenters.

Student posters will be considered for
  • 2 travel scholarships of up to $600 each sponsored by the ASA Section on Physical and Engineering Sciences (SPES).
  • Poster competition sponsored by the ASA Section on Defense and National Security ($400 first prize, membership in ASA and SDNS for top five poster presenters).

Format: The poster boards are 47" x 47". Please be sure your poster will fit within these dimensions. Adhesive velcro will be provided for mounting. Pins are not permitted. If you have any special requirements for your poster presentation, such as a power outlet, please let us know by February 6, 2012.

Check out the Better Posters blog for ideas on putting together an effective poster.

Poster Titles/Numbers (almost alphabetical)

  1. Optimal Linear Empirical Bayes Estimator of Finite Population Mean
    Mohanad F. Al-khasawneh, Qatar University
  2. The Commute Time Distance Transformation for Spectral Image Data and Application to Anomaly Detection
    Jamie Albano, Rochester Institute of Technology
    Winner: SPES student travel scholarship
    Winner: Los Alamos Statistical Sciences Conference Grant
    First prize: SDNS student poster competition
  3. Small is Green Energy: A Biostatistician Compares (his) Rooftop PV in New Mexico to the Yankee Rowe Nuclear Power Station
    Hubert A. Allen, Jr., Hubert Allen and Associates
  4. Adaptive Correlation Filter for Video Action Detection and Classification
    Robert T. Arn, Colorado State University
    Winner: Los Alamos Statistical Sciences Conference Grant
    Honorable mention: SDNS student poster competition
  5. Bayesian Nonparametric Methods for Solids Analysis of Long-wave Hyperspectral Image Data
    Candace Berrett, Brigham Young University
  6. Scalable Bayesian Nonparametric Methods for Community Detection
    Jonathan Berry, Sandia National Laboratories 
  7. Uncertainty Quantification for Carbon Capture Simulation
    Sham Bhat, Los Alamos National Laboratory
  8. Practical Data Analysis in Two Renewable Energy Applications
    David Biagioni, University of Colorado
    Winner: SPES student travel scholarship
    Winner: Los Alamos Statistical Sciences Conference Grant

  9. Neutron Multiplicity Counting in Non Proliferation Applications
    Tom Burr, Los Alamos National Laboratory
  10. Fire Modeling of a Glovebox Fire
    Leigh J. Cash, Los Alamos National Laboratory
    [Canceled]
  11. Random Graphs with Latent Spatial Structure
    Emily Casleton, Iowa State University
    Winner: Los Alamos Statistical Sciences Conference Grant
  12. Applying Model-Based Clustering for Analysis of Community Atmospheric Model Output
    Wei-Chen Chen, Oak Ridge National Laboratory
    Winner: Los Alamos Statistical Sciences Conference Grant
  13. Algorithms and Applications of Sparse Support Vector Machines
    Sofya Chepushtanova, Colorado State University
    Winner: Los Alamos Statistical Sciences Conference Grant
  14. An Information-Theoretic and Algebraic Approach to Financial Reconciliation
    Peter Chew, Galisteo Consulting Group, Inc.
  15. Multistate Stochastic Process Modeling of Nuclear Power Plant Reliability
    David Collins, Los Alamos National Laboratory
  16. MapReduce-Enabled Model Reduction for Large Scale Simulation Data
    Paul Constantine, Stanford University
    Winner: Los Alamos Statistical Sciences Conference Grant
  17. Are Megaquakes Clustered?
    Eric G. Daub, Los Alamos National Laboratory
  18. A Predictive Model for Geographic Statistical Data
    Jorge Diaz-Castro, University of Puerto Rico
  19. Image Registration for Change Detection Using Aerial and Satellite Imagery
    Matt Fair, Lakshman Prasad, Los Alamos National Laboratory
  20. Scalable Methods for Large-Scale Statistical Inverse Problems, with Applications to Subsurface Flow
    Pearl Flath, The University of Texas at Austin
    Winner: Los Alamos Statistical Sciences Conference Grant
  21. Functional Data Analysis in Cosmic Microwave Background Radiation Modeling
    Devin Francom, Brigham Young University
    Winner: Los Alamos Statistical Sciences Conference Grant
  22. Methods for Characterizing and Comparing Shock Wave Curves
    Michael Fugate, Curtis Storlie, Los Alamos National Laboratory
  23. Statistical Electromagnetics for Radio Frequency Remote Sensing
    John Galbraith, Los Alamos National Laboratory
  24. Feature Extraction Metrics for Quantitative Comparison Between Simulations and Experimental Results
    Michael Grosskopf, University of Michigan
  25. Monte Carlo Analysis for Repair/Restoration in Earthquake Scenarios
    Christina Hamada, University of New Mexico Los Alamos/Los Alamos National Laboratory
  26. Estimating a Proportion from Repeated Sampling of a Growing Population
    Michael Hamada, Los Alamos National Laboratory
  27. A Statistical Model for the Study of U-Nb Aging
    Geralyn M. Hemphill, Los Alamos National Laboratory
  28. Statistical Comparison of Toolmarks in Forensics
    Amy Hoeksema, Iowa State University
    Winner: Los Alamos Statistical Sciences Conference Grant
  29. Efficient Estimators for Sequential and Resolution-Limited Inverse Problems
    Darren Homrighausen, Carnegie Mellon University
    Second prize: SDNS student poster competition
  30. Sensitivity of the Community Land Model (CLM4.0) to Key Modeling Parameters and Modeling of Key Physical Processes with Focus on the Arctic Environment
    Elena Kalinina, Sandia National Laboratories
  31. Evaluating the Likelihood of a Fire-Following-An-Earthquake Scenario
    Elizabeth J. Kelly, Los Alamos National Laboratory
  32. Uncertainty Quantification of 3D Geophysical Models
    Carène Larmat, Monica Maceira, Los Alamos National Laboratory
  33. Exploring Large Scale Scientific Data Using Information Theory
    Teng-Yok Lee, The Ohio State University
  34. Applications of Wavelet Analysis to Solution Monitoring for Nuclear Safeguards
    Claire Longo, University of New Mexico
    Winner: Los Alamos Statistical Sciences Conference Grant
  35. A Data Analysis Strategy for Prediction of High Dimensional Chaotic Systems
    Michael LuValle, OFS Labs
  36. Arctic Land Cover Classification using Multispectral Imagery with Adaptive Sparse Representations
    Daniela I. Moody, Los Alamos National Laboratory/University of Maryland College Park
    Honorable mention: SDNS student poster competition
  37. Comparing Mitigations Under Uncertainty in Simulated Influenza Outbreak
    Leslie M. Moore, Los Alamos National Laboratory
  38. Scan Statistics for the Online Detection of Locally Anomalous Subgraphs
    Josh Neil, Los Alamos National Laboratory
  39. Computational and Statistical Challenges in Cosmology
    Adrian Pope, Argonne National Laboratory
    Winner: Los Alamos Statistical Sciences Conference Grant
  40. Inverse Methods for Dimensionality Reduction
    Juan Ramirez, Jr., University of Colorado at Boulder
    Honorable mention: SDNS student poster competition
  41. Assessing Network Partitioning
    David Robinson, Sandia National Laboratories
  42. Indago:  A Novel Search and Analysis Tool for Electronically Stored or Transmitted Content
    Jorge H. Román, Los Alamos National Laboratory
  43. Rhipe: R and Hadoop Integrated Programming Environment
    Jeremiah Rounds, Purdue University
    Winner: Los Alamos Statistical Sciences Conference Grant
  44. Analysis of Biothreat Detection Technologies
    Ryan Roundy, Brigham Young University
    Winner: Los Alamos Statistical Sciences Conference Grant
  45. Scalable Analysis of Network Measurements with Hadoop and Pig
    Taghrid Samak, Lawrence Berkeley National Laboratory
    Winner: Los Alamos Statistical Sciences Conference Grant
  46. Topologies of the Conditional Ancestral Trees and Full Likelihood-based Inference in the General Coalescent Tree Framework
    Ori Sargsyan, Los Alamos National Laboratory
  47. Estimating the Central Direction of Random Rotations in SO(3)
    Bryan Stanfill, Iowa State University
    Winner: SPES student travel scholarship
  48. An Approach for Predictive Fault Isolation in High Performance Computing Systems
    Jon Stearley, Sandia National Laboratories
  49. Scientist Attrition at LANL: A Look over Time, Using Survival Analysis Methods
    Blair O. Stephenson, Los Alamos National Laboratory
  50. Visualization at the Mesoscale
    Richard Strelitz, Los Alamos National Laboratory
  51. Spatio-Spectral Anomalous Change Detection in Hyperspectral Imagery
    James Theiler, Los Alamos National Laboratory
  52. Uncertainty Analysis for GIS Estimates of CO2 Storage of the Oriskany Sandstone
    Andrew C. Thomas, Carnegie Mellon University
  53. Analysis of Amplified Fragment Length Polymorphisms for Detection of Infectious Biological Agents
    Lawrence Ticknor, Los Alamos National Laboratory
  54. Automated Analysis of Large Numbers of Diffraction Datasets Using the Rietveld Method
    Sven C. Vogel, Los Alamos National Laboratory
  55. Derivation of QMU-like formalisms from Maximum Entropy Arguments
    Timothy Wallstrom, Los Alamos National Laboratory
  56. Assessing Very Precise Measurement Systems Subject to Measurement Error:  A Case Study Using Calorimeters in Servo Mode
    Brian Weaver, Los Alamos National Laboratory
  57. Neuromorphic Algorithms for Classifying and Locating Objects in a Fixed Camera Video Feed
    Dylan Paiton, Los Alamos National Laboratory
  58. Sparse Principal Subspace Estimation
    Vincent Vu, Carnegie Mellon University
    Winner: Los Alamos Statistical Sciences Conference Grant

  59. In-situ Exploration and Sampling of Computer Simulation Models
    Joanne Wendelberger, Los Alamos National Laboratory
  60. Data Challenges for Scientific Data Analysis and Synthesis: An Example
    Arthur Wiedmer, UC Berkeley
    Winner: Los Alamos Statistical Sciences Conference Grant
  61. Automatic Detection of PV System Configuration
    Matthew Williams, Shawn Kerrigan, Locus Energy
  62. Using the Ensemble Kalman Filter for Computer Model Calibration
    Matt Pratola, Los Alamos National Laboratory

  63. cranvas: A New Package for Interactive Statistical Graphics in R
    Yihui Xie, Iowa State University [Canceled]
    [Substitute] MEM Analysis of Neutron Diffraction Data for Development of Novel Energy Materials
    Sven C. Vogel and Jiantao Han, Los Alamos National Laboratory
  64. Rank Approach to Analyze Data from the U.S. Department of Energy's Illness and Injury Surveillance Program
    Joey Zhou, Office of Health, Safety and Security, Department of Energy
  65. Negative Log-Gamma Modeling of Series System Reliability with Trend in Presence of Few Highly Reliable Components
    Roger Zoh, Iowa State University
    Winner: Los Alamos Statistical Sciences Conference Grant
    Honorable mention: SDNS student poster competition


  • When

    February 29, 2012 - March 2, 2012
    8:45 AM - 5:00 PM
    Mountain Time

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  • Where

    Eldorado Hotel
    309 W. San Francisco
    Santa Fe, New Mexico 87501
    USA
    505-988-4455

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    CNLS Conferences

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  • Websites

    Center for Nonlinear Studies, Los Alamos National Laboratory, Los Alamos National Laboratory Statistical Sciences Group, Los Alamos Visitor info, Santa Fe Visitor Info

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