PPT-Correlation and Covariance

R F Riesenfeld Based on web slides by James H Steiger Goals Introduce concepts of Covariance Correlation Develop computational formulas 2 R F Riesenfeld Sp 2010 CS5961 Comp Stat. References. Hansen, N. The CMA Evolution Strategy: A Tutorial. November 24, 2010. . http://www.lri.fr/~hansen/cmatutorial.pdf. Auger, A. and Hansen, N. CMA-ES Tutorial Slides for GECCO 2011. . http://www.lri.fr/~hansen/gecco2011-CMA-ES-tutorial.pdf. Orbit . Determination . I. Fall . 2014. Professor Brandon A. . Jones. Lecture 13: Probability and Statistics (Part 3). Lecture Quiz . and Homework Due Friday. 2. Announcements. 3. Lecture Quiz Results. Confidnce interval. confidence interval of the mean. Confidence level 95%, what does it mean?. How is the interval constructed?. what is . ?. Z-value on the standard normal distribution t. n-1. -value on t-distribution. Canonical Correlation Analysis. FIG. 6. . The . CCA mode 1 for (a) . SLP . and (b) . SST. . . The pattern . in (a) is scaled . by . [max(u. )-min. (u)]/2, and (b) . by . [max. (. v. )-min(. v. ). ]/2. Dimensionality Reduction. Linear Methods. . 2.1 Introduction. Dimensionality reduction. the process of finding a suitable lower dimensional space in which to represent the original data. Goal:. Explore high-dimensional data. Naval Research Laboratory, Monterey . JCSDA Summer Colloquium. July 2012. Santa Fe, NM. Background Error Covariance Modeling. 1. Overview. Strategies for flow dependent error covariance modeling. Ensemble . Careless assumptions of independence. Covariance . and . correlation. Spreadsheet tools for optimization (Solver). The Central Limit Theorem and. the normal distribution. Business . Analytics . I. Session 3. (Slides borrowed from various presentations). Image representations. Templates. Intensity, gradients, etc.. Histograms. Color, texture, SIFT descriptors, etc.. Space Shuttle Cargo Bay. Image Representations: Histograms. October 21, 2014. Elizabeth Prom-Wormley & . Hermine. . Maes. ecpromwormle@vcu.edu. 804-828-8154. The Problem(s). BMI may not be an appropriate measure for use in studying the genetics of obesity. Frank Westhoff. 313 Converse Hall. 413-542-2190. fwesthoff@amherst.edu. EViews. Computer Assistance. Sunday and Tuesday – 7:00-9:00 PM. Economics Computer Lab – Converse 311. Help Sessions. Sunday and . 1. Copy files. Go to . Faculty. \marleen\Boulder2012\. Multivariate. Copy. all files to . your. . own. directory. Go to . Faculty. \kees\Boulder2012\. Multivariate. Copy. all files to . your. . own. Burba. , G., 2013. Eddy Covariance Method for Scientific, Industrial, Agricultural and Regulatory Applications: A Field Book on Measuring Ecosystem Gas Exchange and Areal Emission Rates. . LI-COR . Biosciences, Lincoln, . Lucia . Colodro. Conde, Elizabeth Prom-Wormley, and Hermine . Maes. . with thanks to . Meike. Bartels and . Dorret. . Boomsma. In . \\workshop\Faculty\lucia\Wednesday_biv_practical. , Open twoACE_vc_nl_biv_2gr.R. Covariance . and . correlation. Spreadsheet tools for optimization (Solver). The Central Limit Theorem and. the normal distribution. Business . Analytics . I. Session 3. Predicting the Results of the .