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. Bart Adams. Stanford University / KU Leuven. Richard Keiser. LiberoVision. Inc. / ETH Zurich. Mark . Pauly. ETH Zurich. Leonidas. J. . Guibas. Stanford University. 그래픽스 연구실. 하래주. 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). Euhus. , Guidance by . Edward Phillips. An Introduction To Uncertainty Quantification. Book and References. Book – . Uncertainty Quantification: Theory, Implementation, and Applications, . by Smith. 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. 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 . Joseph J. Glavan. glavan.3@wright.edu . Joseph W. . Houpt. Wright State University. How are stimuli processed?. Multiple sources of information:. Color . and shape. Facial features. Curved and straight text features. Adaptive Management. 2. Growth. Recruitment. Stock or. Biomass. Natural. Harvest. Risk. Assessment. Economics. Sociocultural. Political/Legal. Management. Objectives. Management. Actions. Stock. Assessment. James S. Strand and David B. Goldstein. The University of Texas at Austin. Sponsored by the Department of Energy through the PSAAP Program. Predictive Engineering and Computational Sciences. Introduction – DSMC Parameters. 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”. [ & dynamic ] . point processes and big data sets . Mike . West. Department of Statistical Science. Duke University. . cellular phenotypes in vaccine adjuvant studies . Immune response studies. : . Case Study of. . Residential Wood Combustion . Rabab . Mashayekhi, . Shunliu. . Zhao, . Sahar . Saeednooran. , . Amir . Hakami. Department of Civil and Environmental Engineering, Carleton University, . Russell . Hooper. NEKVAC/NUC Workshop. “Multiphysics Model Validation”. NCSU, Raleigh. June 28, 2017. Initial Scope: UQ CIPS Challenge . Problem. Quarter-core CIPS (. QoIs. : . max_crud_thickness. in Monte Carlo simulation. Matej . Batic, . Gabriela Hoff, Paolo Saracco. Collaborators: . Politecnico Milano, Fondazione Bruno Kessler, MPI HLL, Univ. Darmstadt, XFEL, UC Berkeley, State Univ. Rio de Janeiro, Hanyang Univ. (Korea) .