Program Summary

Program

Conference Honoree and Plenary Speaker: Max Morris

Plenary Speaker: Scott Vander Wiel

Plenary Speaker: Derek Bingham

Special Invited Luncheon Speaker: Karen Kafadar


Confirmed Sessions

1. LESSONS LEARNED FROM DATA CHALLENGES AND CHALLENGING DATA

Organizer: Anne Hansen, Intel

Chair: Brian P. Weaver, Los Alamos National Laboratory

  1. Anne Hansen, Intel

    “Overcoming data obstacles and driving a data culture”

  2. David Osthus, Los Alamos National Laboratory

    “When flu forecasting isn’t about the flu: What I’ve learned participating in the CDC’s influenze forecasting challenge”

  3. Christine Anderson-Cook, Los Alamos National Laboratory

        “Data competition hosting: Getting more than just a winner through strategic design and     analysis”

2. DATA SCIENCE IN NEW MEXICO

Organizer: Emily Casleton, Los Alamos National Laboratory

Chair: Emily Casleton, Los Alamos National Laboratory

  1. Lauren Hund, Sandia National Laboratory

    “Strategies for calibrating inexact computer models to estimate physical parameters”

  2. Oleg Makhnin, New Mexico Tech.

    “gibbSeq: a Bayesian multiple testing methods for genetics applications”

  3. James Degnan, University of New Mexico

        “Using approximate Bayesian computation to infer evolutionary trees”

3. TEST PLANNING FOR RELIABILITY

Organizer: Brian P. Weaver

Chair: Caleb King, Sandia National Laboratory

  1. Laura Freeman, Institute for Defense Analysis

    “Challenges and new methods for designing reliability experiments”

  2. Lu Lu, University of South Florida

    “New developments on demonstration test plans”

  3. Isaac Michaud, North Carolina State University

          “Using mutual information for designing sensitivity tests”

4. ASTROSTATISTICS INTEREST GROUP INVITED SESSION

Organizer:  Jessi Cisewski, Yale

Chair: Jogesh Babu, Penn State University

  1. Luis Campos, Harvard

    “Disentangling astronomical sources with spatial, spectral and temporal X-ray data”

  2. Gwendolyn Eadie, University of Washington

          “Estimating the mass to light ratio of the milky way’s nuclear star cluster and its central black hole”

5. DESIGN FOR COMPUTER EXPERIMENTS

Organizer: Shan Ba, Procter & Gamble

Chair: Shan Ba, Procter & Gamble

  1. Robert Gramacy, Virginia Tech

    “Replication or exploration? Sequential design for stochastic simulation experiments”

  2. Matthew Plumlee, Northwestern University

    “Calibration with frequentists coverage and consistency”

  3. Daniel W. Apley, Northwestern University

         “Input mapping for calibration of high/low fidelity simulation models with mismatched inputs”

6. DESIGN FOR PHYSICAL EXPERIMENTS

Organizer: C. Devon Lin, Queen’s University

Chair: C. Devon Lin, Queen’s University

  1. Jeff Wu, Georgia Tech

    “Analysis of marginal tail means-a robust method for parameter design optimization”

  2. Xun Huan, Sandia National Laboratory

    “Value of feedback and forward-looking in Bayesian sequential optimal experimental design”

  3. Ryan Lekivetz, SAS/JMP

        “Restricted screening designs”

7. STATISTICAL MACHINE LEARNING

Organizer: Matthew Pratola (The Ohio State University) and C. Devon Lin

Chair: C. Devon Lin, Queen’s University

  1. Tom Loughin, Simon Fraser University

    “Adaptively pruned random forests for modeling means and variances simultaneously”

  2. Nicholas Henderson, Johns Hopkins University
  3. Rob McCulloch, Arizona State University

8. UNCERTAINTY QUANTIFICATION

Organizer: Matthew Pratola, The Ohio State University

  1. Michael Grosskopf, Los Alamos National Laboratory
  2. Peter Marcy, Los Alamos National Laboratory

    “Bayesian Gaussian process models for dimension reduction uncertainties”

  3. Jared Huling, The Ohio State University

“Neural networks for flexible and fast emulation of computer experiments”


Sessions under Development

9. STATISTICAL PROCESS CONTROL

10. JOURNAL OF QUALITY TECHNOLOGY

11. TECHNOMETRICS

12. PHYSICS APPLICATIONS

13. FUNCTIONAL DATA

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