Seminars @ NDSSL

Title: Sensitivity Analysis When Model Outputs are Functions

Presenter: Dr. Michael McKay
Los Alamos National Laboratory (ret.)

Date and Time: Wednesday, April 11, 2007, 10:00-11:00 AM

Note: This is the second seminar in a series of three to be held by Dr. Michael McKay during the week of April 9, 2007. The other two seminars are:

Introduction to Statistical Methods for Understanding Prediction Uncertainty in Simulation Models (Monday April 9 at 3:00 PM)

Calibrated Prediction (Friday April 13 at 10:00 AM)

Abstract:

When outputs of computational models are time series or functions of other continuous variables like distance, angle, etc., it can be that primary interest is in the general pattern or structure of the curve. In these cases, model sensitivity and uncertainty analysis focuses on the effect of model input choices and uncertainties on the overall shapes of such curves. We will explore methods for characterizing a set of functions generated by a series of model runs for the purpose of exploring relationships between these functions and the model inputs.

Seminar Location: The seminars are held at:
    Virginia Tech, Corporate Research Center
    1880 Pratt Drive, Building XV
    Seminar Room 2018, Second Floor
    Directions: Map (PDF)

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