Quantitative Risk Analysis with R Fort Collins, Colorado, USA December 4-7, 2017
This course will cover the core principles of quantitative risk analysis and Monte Carlo simulation modeling. The focus of the course is on how to conduct accurate and effective quantitative risk analyses, including best practices of risk modeling, selecting the appropriate distribution, using data and expert opinion, and avoiding common mistakes. Both Bayesian and frequentist methods will be discussed. Prior experience using R or other simulation tools is not required. For additional information and to register please visit: http://www.epixanalytics.com/quantitative-risk-analysis-with-r-4-days.html To register by phone or for any questions please contact: Barbara O'Neill, bone...@epixanalytics.com<mailto:bone...@epixanalytics.com> Ph: +1 303 440 8524 EpiX Analytics www.epixanalytics.com<http://www.epixanalytics.com> [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
