PPT-Reasoning about Uncertainty in

Highdimensional Data Analysis Adel Javanmard Stanford University 1 What is high dimensional data Modern data sets are both massive and finegrained 2 Features variables gt Observations Samples. Nick Bloom (Stanford & NBER). IMF Lectures, January 18. th. 2013. Talk summarizes a JEL draft with Fernandez-Villaverde and Schneider. Currently very scrappy and only the slides are on-line but hoping to post the paper on-line soon. IB DP Physics. Error Bars. U. sed . on graphs to display the uncertainty in measurements of the data . points.. T. here . may be uncertainty in just the y-values, just the x-values, or . both. .. Must be included in all DP Physics data analysis including your Internal Assessment. Lecture One. Paul . Constantine. March 29, 2011. What is UQ???. Uncertainty Quantification – ME470. Paul Constantine. Combining computational models, physical observations, and possibly expert . judgment . in Precipitation Data Records. Yudong Tian. Collaborators: Ling Tang, Bob Adler, George Huffman, . Xin Lin, Fang Yan, Viviana Maggioni and Matt Sapiano.  . University of Maryland & NASA/GSFC. http://sigma.umd.edu. Nick Bloom (Stanford & NBER). Harvard, April 23. rd. and 30. th. Talk summarizes . a forthcoming JEP article (& a work-in-progress longer JEL). Talk summarizes . a forthcoming JEP article (& a work-in-progress longer JEL). for S2D forecasting. EUPORIAS wp31. Nov 2012, Ronald Hutjes. Background. S2D impact prediction. Uncertainty explosion / Skill implosion ??. SST. Weather. (Downscaling). Soil moisture. Plant productivity. . Avoidance. in 10 minutes. Geert Hofstede. January. 2015. Origin. of the term “. uncertainty. . avoidance. ”. One. of the . key. . concepts. in a “. behavioral. . theory. of the . firm. by Angela Campbell, Ph.D. and Andrew Cheng, Ph.D.. ICRAT. Angela Campbell, Ph.D.. June 21, 2016. The findings and conclusions in this paper are those of the author(s) and do not necessarily represent the views of the FAA. in Measurement. (IB text - Ch 11; AP text - section 1.4 pgs. 10-13 and A10-A13). All measurements have some degree of . uncertainty. . Therefore, we need to give some indication of the reliability of measurements and the uncertainties in the results calculated from these measurements. . environmental research. Liew Xuan Qi (A0157765N). Cheong Hui Ping (A0127945W). Hong Chuan Yin (A0155305M). Best Practice Approaches for Characterizing, Communicating, and Incorporating Scientific Uncertainty in Climate Decision Making. OUTLINE. Accelerator Pre-alignment background. Uncertainty and GUM supplement 1. PACMAN pre-alignment budgeting . CMM uncertainty modeling. Thermal uncertainty compensation and modeling. First stochastic modeling results. Manipulating symbols. Last class. Typology of signs. Sign systems. Symbols. Tremendously important distinctions for informatics and computational sciences. Computation = symbol manipulation. Symbols can be manipulated without reference to content (syntactically. Brian Clough. 1. , Matt Russell. 1. , Grant Domke. 2. , Chris Woodall. 2. . 2016 Western Mensurationist’s Meeting. 1. University of Minnesota. 2. US Forest Service Northern Research Station. 3 tiered approach for identifying and . Erzo F. P. Luttmer. Andrew A. Samwick. Dartmouth College and NBER. March 2017. Motivating Question. Future government policy is subject to uncertainty. How costly is this uncertainty?. When does policy uncertainty matter most?.