| [ 300SOWISTAS15 ]                                         SE                                         Dissertation Seminar - Statistics | 
                
                  |  |  | 
                | Es ist eine neuere Version 2025W dieser LV im Curriculum Doctoral programme Social and Economic Sciences 2025W vorhanden. | 
                
                  |  | 
                                
                                
                  |  | 
                    
                      | Workload | Education level | Study areas | Responsible person | Hours per week | Coordinating university |  
                      | 6 ECTS | R - Doctoral programme | Statistics | Werner Müller | 2 hpw | Johannes Kepler University Linz |  | 
                
                  |  | 
                                
                  |  | 
                        
    					  
    					  
  						
                    
                      | Detailed information |  
                      | Original study plan | Doctoral programme Social and Economic Sciences 2015S |  
                      | Objectives | To understand and learn advanced techniques of  Statistics relevant for doctoral study of the actual doctorand students. To develop the ability of proper application of these methods. |  
                      | Subject | Bayesian Nonparameterics. Bayesian Optimal Design.
 |  
                      | Criteria for evaluation | Presentation. |  
                      | Methods | Lecture. Homework. Reading of selected papers and discussion. |  
                      | Language | English |  
                      | Study material | Ghosh, Ramamoorthi, Bayesian Nonparametrics, Springer, 2003 Pukelsheim, Optimal Design of experiments, Wiley, 1993
 |  
                      | Changing subject? | Yes |  
                      | Earlier variants | They also cover the requirements of the curriculum (from - to) 3DSTATS: SE Dissertation Seminar - Statistics (2009W-2014W)
 
 |  | 
                 
                
                  |  | 
                
                  |  | 
                    
    				  
    				  
  					
                    
                      | On-site course |  
                        | Maximum number of participants | 20 |  
                      | Assignment procedure | Assignment according to priority |  |