'Parameter uncertainty' diaporamas de présentation

Non-Intrusive Stochastic Uncertainty Quantification Methods Don Zhang

Non-Intrusive Stochastic Uncertainty Quantification Methods Don Zhang University of Southern California donzhang@usc.edu Uncertainty Quantification Workshop Tucson, AZ, April 25-26, 2008. East-West Cross Section at Yucca Mountain [Bodvarsson et al., 1999]. Distance (ft). Large Dimensions.

559 views • 34 slides

Correlation Estimation for Property and Casualty Underwriting Losses

Correlation Estimation for Property and Casualty Underwriting Losses. Fred Klinker Insurance Services Office, Inc. Mathematical vs. Physical Models for Correlation.

466 views • 34 slides

A Universal Framework For Pricing Financial and Insurance Risks

Shaun Wang, FCAS, Ph.D. SCOR Reinsurance Co. ?Shaun Wang, 2001. A Universal Framework For Pricing Financial and Insurance Risks. Presentation at the ASTIN Colloquium July 2001, Washington DC. CAPM. Price Data. ?. Black-Scholes. Outline: A Puzzle Game.

432 views • 33 slides

An Empirical Study of Exposure at Default

1.2k views • 32 slides

Review of methods to assess a QSAR Applicability Domain

574 views • 32 slides

Sensitivity-based Uncertainty Analysis of a Combined Travel Demand Model

Sensitivity-based Uncertainty Analysis of a Combined Travel Demand Model. Chao Yang, Tongji University Anthony Chen Xiangdong Xu, Utah State University S.C. Wong, University of Hong Kong. The 20th International Symposium on Transportation and Traffic Theory

496 views • 31 slides

606 views • 30 slides

Simulation and Uncertainty

418 views • 29 slides

Reserve Uncertainty 1999 CLRS

382 views • 28 slides

What role should probabilistic sensitivity analysis play in SMC decision making?

What role should probabilistic sensitivity analysis play in SMC decision making?. Andrew Briggs, DPhil University of Oxford. What probabilistic modelling offers. Generating the appropriate (expected) cost-effectiveness

421 views • 27 slides

Andrew C. Hooker, Ph.D. Associate Professor of Pharmacometrics

Model-based Approaches as Guidance to Bioequivalence Decision Making: Design and Analysis Considerations. Andrew C. Hooker, Ph.D. Associate Professor of Pharmacometrics Dept . of Pharmaceutical Biosciences Uppsala University Uppsala , Sweden. Standard bioequivalence (BE) studies.

773 views • 25 slides

Cointegrating VAR Models and Probability Forecasting: Applied to a Small Open Economy

407 views • 24 slides

Calibration Guidelines

Calibration Guidelines. Model development. Model testing. 9. Evaluate model fit 10. Evaluate optimal parameter values 11. Identify new data to improve parameter estimates 12. Identify new data to improve predictions 13. Use deterministic methods 14. Use statistical methods.

309 views • 23 slides

Exploring uncertainty in the water resources estimation chain in southern Africa. IGCP565

Exploring uncertainty in the water resources estimation chain in southern Africa. IGCP565. E. Kapangaziwiri J. Mwenge Kahinda. Birchwood Hotel, Johannesburg 30 th October 2012. Background. Many water resources decisions are based on outputs from models of a complex real world.

295 views • 20 slides

Nuclear emergency management: taking the right decisions with uncertain models

345 views • 20 slides

Peng Liu, Jun Dai, Xiaoyan Sun, Robert Cole Penn State University pliu@ist.psu

Multi-Step Attack Defense Operating Point Estimation via Bayesian Modeling under Parameter Uncertainty. Peng Liu, Jun Dai, Xiaoyan Sun, Robert Cole Penn State University pliu@ist.psu.edu. Cognitive Models & Decision Aids Instance Based Learning Models Simulation

481 views • 17 slides

New approaches to variable stars data processing and interpretation

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271 views • 13 slides

Minimum run-time requirements to reduce Monte Carlo error in stochastic simulations

Minimum run-time requirements to reduce Monte Carlo error in stochastic simulations. Volker Foos 1 , Phil McEwan 4 , Adam Lloyd 2 , James Palmer 1 , Mark Lamotte 3 and David Grant 2 .

320 views • 13 slides

State-Space Equation of a Plant

Project 3 Due date: 14 June 2012 Submit the result .m file via e-mail to jaepark@incheon.ac.kr (If they are multiple .m files, then please zip them to one file.). State-Space Equation of a Plant. Parameter uncertainty. ARE. H 2 Optimal Control. Eigen value.

138 views • 5 slides