PPT-Adaptive Spatial Resampling as a McMC Method for Uncertainty Quantification

in Seismic Reservoir Modeling Cheolkyun Jeong Tapan Mukerji and Gregoire Mariethoz Stanford Center for Reservoir Forecasting How to quantify uncertainty of models Why quantify uncertainty 2. Paid News has been defined by PCI as. - Any news or analysis appearing in any media (Print & Electronic) for a price in cash or kind as consideration.. Press Council of India guidelines say- . news should be clearly demarcated from advertisements by printing disclaimers, should be strictly enforced by all publications. As far as news is concerned, it must always carry a credit line and should be set in a typeface that would distinguish it from advertisements.. Cutting the Computational Budget. Max Welling . (U. Amsterdam / UC Irvine). Collaborators:. Yee . Whye. The . (. University of Oxford). S. . Ahn. ,. A. . Korattikara. , Y. Chen . (PhD students UCI). Michael Clarkson and Fred B. Schneider. Cornell University. RADICAL. May 10, 2010. Goal. Information-theoretic. Quantification of. programs’ impact on. Integrity. of Information. (relationship to database privacy). Lecture One. Paul . Constantine. March 29, 2011. What is UQ???. Uncertainty Quantification – ME470. Paul Constantine. Combining computational models, physical observations, and possibly expert . judgment . Wilcoxon Rank-Sum Test . To compare two independent samples. Null is that the two populations are identical. The test statistic is . W. s. . , Table of Critical . Vals. .. For large samples, there is a normal approx.. [ & dynamic ] . point processes and big data sets . Mike . West. Department of Statistical Science. Duke University. . cellular phenotypes in vaccine adjuvant studies . Immune response studies. Cole Monnahan. 12/4/2015. SAFS Quant. Seminar. Introduction. Bayesian inference is increasingly common in fisheries in ecology. There is a need for efficient algorithms. . for: . complex models and cross validation of simple models . Maryann S. Vogelsang. 1. , Amol Prakash. 1. , David Sarracino. 1. , Scott Peterman. 1. , Bryan Krastins. 1. , Jennifer Sutton. 1. , Gregory Byram. 1. , Gouri Vadali. 1. , . Shadab. Ahmad. 1. ,. Bruno Darbouret. Adaptive Management. 2. Growth. Recruitment. Stock or. Biomass. Natural. Harvest. Risk. Assessment. Economics. Sociocultural. Political/Legal. Management. Objectives. Management. Actions. Stock. Assessment. hevruta. How does it work? JAGS, MCMC, and more…. Our goal.  .  .  . Likelihood. Prior. Posterior. Examples of statistical analysis parameters:. – for simple normally distributed data. – GLM coefficients. Google Earth. Geometric Corrections. Rectification and Registration. Learning Objectives. Be able to define geometric correction.. Understand why geometric correction is usually necessary.. Understand the difference between . Rahul Sharma and Alex Aiken (Stanford University). 1. Randomized Search. x. = . i. ;. y = j;. while . y!=0 . do. . x = x-1;. . y = y-1;. if( . i. ==j ). assert x==0. No!. Yes!.  . 2. Invariants. Patricia Hanson. Biological Administrator I. Florida Department of Agriculture and Consumer Services, Food Safety, Microbiology Laboratory. What is Uncertainty. Quality of a Measurement. “Give or Take”. : . Case Study of. . Residential Wood Combustion . Rabab . Mashayekhi, . Shunliu. . Zhao, . Sahar . Saeednooran. , . Amir . Hakami. Department of Civil and Environmental Engineering, Carleton University, .