PPT-Modeling the Uncertainty Due to Data/Visual Transformations using Sensitivity Analysis

Author : tracy | Published Date : 2023-07-07

This project proposes to study sensitivity analysis for guiding the evaluation of uncertainty of data in the visual analytics process We aim to achieve Semiautomatic

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Modeling the Uncertainty Due to Data/Visual Transformations using Sensitivity Analysis: Transcript


This project proposes to study sensitivity analysis for guiding the evaluation of uncertainty of data in the visual analytics process We aim to achieve Semiautomatic Extraction of Sensitivity Information. Oneway sensitivity analysis allows a reviewer to assess the im pact t hat c hang es in a cer ain par amet er will ha ve on the model57557s conclusions Sensitivity analysis can help the reviewer to determine which par amet er ar he driv er of a model Jake Blanchard. Fall 2010. Uncertainty Analysis for Engineers. 1. Instructor. Jake Blanchard. Engineering Physics. 143 Engineering Research Building. blanchard@engr.wisc.edu. Uncertainty Analysis for Engineers. University of North Carolina (UNC-IE). ENVIRON . International Corporation (ENVIRON. ). April 29, 2015. Western States Air Quality Study. Intermountain West Data Warehouse. Summary. Winter O. 3. Modeling. Thorsten Wagener. thorsten.wagener@bristol.ac.uk. With Francesca . Pianosi. Francesca.pianosi. @bristol.ac.uk. My background. Civil engineering with focus on hydrology. University of Siegen, TU Delft, Imperial College London. Thorsten Wagener. thorsten.wagener@bristol.ac.uk. With Francesca . Pianosi. Francesca.pianosi. @bristol.ac.uk. My background. Civil engineering with focus on hydrology. University of Siegen, TU Delft, Imperial College London. Stanford University, USA. A strategy for managing uncertainty. Importance of uncertainty and risk. New well planned. P1. P2. P3. P4. West-Coast Africa (WCA) slope-valley system. Data courtesy of Chevron. US National Combustion Meeting‘17. April 25, 2017. University of Maryland. Pavan. B. . Govindaraju. Matthias . Ihme. Special thanks to . Tim Edwards, AFRL. CRECK Modeling Group in . Politecnico. Di Milano. COST Functional Modeling . Workshop. 22-24 April, Helsinki. Types of data sets and modeling. Commercial array data. – more likely to have . tools that support the use of array IDs.. Custom/USDA array data . US Forest Service, Pacific Northwest Research Station. Building a Common Vocabulary. model. model. L. . modus. : mode, measure. model. conceptual. diagrammatic. mathematical. computational. Hall, C. A. S., and J. W. Day. 1977. Systems and models: terms and basic principles. . Africa Regional Workshop on the Building of Sustainable National. Greenhouse Gas Inventory Management Systems, and the use of the 2006. IPCC Guidelines for National Greenhouse Gas Inventories. Swakopmund. Presented by Christopher J. Swanson. Government Finance Research Group. www.MuniCast.com. 1. Financial Modeling & Forecasting Smart Practices. www.MuniCast.com. 2. Smart Practices. Annual Forecasting Model – Key Elements. . Naval Research . Laboratory – Monterey, CA . Uncertainty in Operational Atmospheric Analyses . 2. . Objectives . Quantify the uncertainty (. Objective. The Los Alamos Sea Ice model has a number of input parameters for which accurate values are not always well established. . We conduct a variance-based sensitivity analysis . of hemispheric sea ice properties to 39 input parameters. The method accounts for non-linear and non-additive effects in the model.. program . Kostadin. . Ivanov. Kaiyue. . Zeng, Jason . Hou, Maria . Avramova. . Multiphysics . Model . Validation Workshop. NCSU, . Raleigh. June. . 27 - 29, 2017. 2. OECD/NEA LWR Uncertainty Analysis in Modeling (UAM) Benchmark.

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