Forschungsbereich Ökonometrie

Organization Name (de) Name der Organisation (de)
E105-02 - Forschungsbereich Ökonometrie
 
Country Land
Austria
 
Code Kennzahl
E105-02
 
Type of Organization Organisationstyp
Research Division
Parent OrgUnit Übergeordnete Organisation
 
Active Aktiv
 


Results 41-60 of 223 (Search time: 0.002 seconds).

PreviewAuthor(s)TitleTypeIssue Date
41Schneider, Ulrike On the Distribution and Model Selection Properties of the Lasso Estimator in Low and High DimensionsPräsentation Presentation2017
42Schneider, Ulrike Statistical Inference after Lasso estimationPräsentation Presentation2017
43Schneider, Ulrike On the Distribution and Model Selection Properties of the Lasso Estimator in Low and High DimensionsPräsentation Presentation2017
44Deistler, Manfred High Frequency Linear Time Series Models and Mixed Frequency DataPräsentation Presentation2017
45Deistler, Manfred The Structure of Linear Dynamic Systems-Its Relevance for Parameter EstimationPräsentation Presentation2017
46Schneider, Ulrike On the Distribution and Model Selection Properties of the Lasso Estimator in Low and High DimensionsPräsentation Presentation2017
47Schneider, Ulrike Statistische Inferenz nach Lasso-SchätzungPräsentation Presentation2017
48Deistler, Manfred ; Anderson, Brian D.O. ; Kölbl, Lukas ; Braumann, Alexander ; Felsenstein, Elisabeth ; Funovits, Bernd High Frequency Linear Time Series Models and Mixed Frequency DataPräsentation Presentation2017
49Deistler, Manfred ; Anderson, Brian D.O. ; Braumann, Alexander ; Felsenstein, Elisabeth ; Funovits, Bernd ; Kölbl, Lukas High Frequency Linear Time Series Models and Mixed Frequency DataPräsentation Presentation2017
50Deistler, Manfred ; Anderson, Brian D.O. ; Felsenstein, Elisabeth ; Funovits, Bernd ; Kölbl, Lukas ; Zamani, Mohsen ; Braumann, Alexander High Frequency Linear Time Series Models and Mixed Frequency DataPräsentation Presentation2017
51Schneider, Ulrike Exact Post-Model Selection Inference: Uniformly Valid Confidence Sets Based on the LassoPräsentation Presentation2016
52Schneider, Ulrike Exact Post-Model Selection Inference: Uniformly Valid Confidence Regions Based on the LassoPräsentation Presentation2016
53Schneider, Ulrike Exact Post-Model Selection Inference: Confidence Sets Based on the LassoPräsentation Presentation2016
54Schneider, Ulrike Confidence Sets Based on the Lasso EstimatorPräsentation Presentation2016
55Scherrer, Wolfgang Balanced Model ReductionPräsentation Presentation2016
56Deistler, Manfred ; Anderson, Brian D.O. ; Felsenstein, Elisabeth ; Funovits, Bernd ; Kölbl, Lukas ; Zamani, Mohsen High Frequency Linear Time Series Models and Mixed Frequency DataPräsentation Presentation2016
57Deistler, Manfred ; Anderson, Brian D.O. ; Braumann, Alexander ; Felsenstein, Elisabeth ; Funovits, Bernd ; Kölbl, Lukas ; Zamani, Mohsen High Frequency Linear Time Series Models and Moxed Frequency DataPräsentation Presentation2016
58Deistler, Manfred ; Anderson, Brian D.O. ; Braumann, Alexander ; Felsenstein, Elisabeth ; Funovits, Bernd ; Kölbl, Lukas ; Zamani, Mohsen High Frequency Linear Time Series Models and Mixed Frequency DataPräsentation Presentation2016
59Deistler, Manfred ; Braumann, Alexander ; Anderson, Brian D.O. ; Felsenstein, Elisabeth ; Funovits, Bernd ; Kölbl, Lukas ; Zamani, Mohsen High Frequency Linear Time Series Models and Mixed Frequency DataPräsentation Presentation2016
60Kölbl, Lukas ; Braumann, Alexander ; Felsenstein, Elisabeth ; Deistler, Manfred Estimation of VAR Systems from Mixed Frequency Data: The Stock and the Flow CasePräsentation Presentation2016