Poster

The poster session on Wednesday is an opportunity for participants to display their recent research topics and results. Eleven posters were displayed with a broad number of topics.

Map-Reduce programming model for QTL applications, Behrang Mahjani, Salman Toor, Sverker Holmgren
Explorative Forecasting of Multidimensional Data, Diana Domanska
Unconsolidated Material Characteristics Obtained by PFGNMR using (two) different probe molecules, Bård A. Bendiksen, Espen H. Blokkdal, Eddy W. Hansen
Precise Forecasts with Blue Yonder, Florian Wilhelm
Non-asymptotic Optimal Stopping Criteria for Monte Carlo, Christian Bayer, Håkon Hoel, Erik von Schwerin, Raul Tempone
Why principal component scores are a good exploratory tool for high-dimensional data, Kristoffer Hellton, Magne Thoresen
Nonlinear monotone regression for high-dimensional data, Kukatharmini Tharmaratnam, Linn Cecilie Bergersen, Ingrid K. Glad
Two-stage MCMC for groundwater problems, Laureline Josset, V. Demyanov, A. H. Elsheikh, I. Lunati
Fully Bayesian Markov Random Field Models: Prior Specification and Posterior Simulation, Petter Arnesen, Håkon Tjelmeland
Data Analysis in the Smart Grid, Axel Tidemann, Boye Annfelt Høverstad
Hypothesis testing of 3D co-localization of genomic elements, Jonas Paulsen, Tonje G. Lien, Geir Kjetil Sandve, Lars Holden, Ørnulf Borgan, Ingrid K. Glad, Eivind Hovig

Published January 28, 2014

Home New Website (2016-2020) Old webpage (2001-2006) 2015: Uncertainty Quantification 2014: Big Data & Statistics Poster Program Participants Lecturers 2013: Reproducible Research 2012: Continuum Mechanics 2011: Multiscale Methods 2010: Automatic Differentiation 2009: Optimization 2008: Parallel Computing 2007: Monte Carlo Methods 2006: Finite Element Method 2005: Inverse Problems 2004: Evolutionary PDEs 2003: Nonlinear PDEs 2002: Methods for CFD 2001: Cluster Computing	Poster The poster session on Wednesday is an opportunity for participants to display their recent research topics and results. Eleven posters were displayed with a broad number of topics. Map-Reduce programming model for QTL applications, Behrang Mahjani, Salman Toor, Sverker Holmgren Explorative Forecasting of Multidimensional Data, Diana Domanska Unconsolidated Material Characteristics Obtained by PFGNMR using (two) different probe molecules, Bård A. Bendiksen, Espen H. Blokkdal, Eddy W. Hansen Precise Forecasts with Blue Yonder, Florian Wilhelm Non-asymptotic Optimal Stopping Criteria for Monte Carlo, Christian Bayer, Håkon Hoel, Erik von Schwerin, Raul Tempone Why principal component scores are a good exploratory tool for high-dimensional data, Kristoffer Hellton, Magne Thoresen Nonlinear monotone regression for high-dimensional data, Kukatharmini Tharmaratnam, Linn Cecilie Bergersen, Ingrid K. Glad Two-stage MCMC for groundwater problems, Laureline Josset, V. Demyanov, A. H. Elsheikh, I. Lunati Fully Bayesian Markov Random Field Models: Prior Specification and Posterior Simulation, Petter Arnesen, Håkon Tjelmeland Data Analysis in the Smart Grid, Axel Tidemann, Boye Annfelt Høverstad Hypothesis testing of 3D co-localization of genomic elements, Jonas Paulsen, Tonje G. Lien, Geir Kjetil Sandve, Lars Holden, Ørnulf Borgan, Ingrid K. Glad, Eivind Hovig Published January 28, 2014