15 Treffer für Schlagwort = "Bayes-Verfahren"

• BaPreStoPro an R package for Bayesian prediction of stochastic processes Hermann, Simone Dortmund : Universitätsbibliothek Dortmund, June 6, 2016

• Bayesian analysis of reduced rank regression models using post-processing Aßmann, Christian ; Boysen-Hogrefe, Jens ; Pape, Markus [Dortmund] : SFB 823, 2021

• Bayesian D-optimal designs for error-in-variables models Konstantinou, Maria ; Dette, Holger Dortmund : Universitätsbibliothek Dortmund, [2016]

• Bayesian optimal designs for dose-response curves with common parameters Schorning, Kirsten ; Konstantinou, Maria Dortmund : Universitätsbibliothek Dortmund, 2017

• Bayesian prediction for a jump diffusion process with application to crack growth in fatigue experiments Hermann, Simone ; Ickstadt, Katja ; Müller, Christine H. Dortmund : Universitätsbibliothek Dortmund, August 18, 2015

• Cooperation between higher education institutions and companies from a spatial perspective – an empirical analysis of Germany using Bayesian logistic multilevel models Warnecke, Christian ; Weller, Daniel Bochum ; Dortmund ; Duisburg ; Essen : Rheinisch-Westfälisches Institut für Wirtschaftsforschung, 2017

• Efficient computation of Bayesian optimal discriminating designs Dette, Holger ; Guchenko, Roman ; Melas, Vjačeslav Borisovič Dortmund : Universitätsbibliothek Dortmund, [2015]

• Gold Price Forecasts in a dynamic model averaging framework have the determinants changed over time? Baur, Dirk G. ; Beckmann, Joscha ; Czudaj, Robert Bochum : RWI, 2014

• Optimal designs for dose response curves with common parameters Feller, Chrystel ; Schorning, Kirsten Dortmund : Universitätsbibliothek Dortmund, March 14, 2016

• Optimal designs for frequentist model averaging Alhorn, Kira ; Schorning, Kirsten ; Dette, Holger Dortmund : Universitätsbibliothek Dortmund, July 13, 2018

• Optimal designs for model averaging in non-nested models Alhorn, Kira ; Dette, Holger ; Schorning, Kirsten Dortmund : Universitätsbibliothek Dortmund, March 30, 2019

• Prediction of crack growth based on a hierarchical diffusion model Hermann, Simone ; Ickstadt, Katja ; Müller, Christine H. Dortmund : Universitätsbibliothek Dortmund, January 28, 2015

• Semi-parametric Bayesian forecasting with an application to stochastic volatility Goessling, Fabian ; Zaharieva, Martina Danielova Münster : Center for Quantitative Economics, 2017

• Speculative bubbles in recent oil price dynamics evidence from a Bayesian Markov-switching state-space approach Lammerding, Marc ; Stephan, Patrick Maurice ; Trede, Mark ; Wilfling, Bernd Münster : Center for Quantitative Economics, 2012

• Stochastic modeling and statistical analysis of fatigue tests on prestressed concrete beams under cyclic loadings Heeke, Guido ; Hermann, Simone ; Heinrich, Jens ; Ickstadt, Katja ; Maurer, Reinhard ; Müller, Christine H. Dortmund : Universitätsbibliothek Dortmund, July 27, 2015