Mag. rer. nat., Dr. rer .nat - Universität Klagenfurt
Mag. rer. nat., Dr. rer .nat - Universität Klagenfurt Mag. rer. nat., Dr. rer .nat - Universität Klagenfurt
2. Spöck G.: Simplifying objective functions and avoiding stochastic search algorithms in spatial samplingdesign. JSM 2010, Vancouver, 2. August 2010.3. Spöck G.: Bayesian locally stationary trans-Gaussian kriging using generalized Voronoi tesselations.StatGIS 2009, Milos Island, 18. Juni 2009, www.math.uni-klu.ac.at/stat/Tagungen/statgis/2009.4. Pilz J.: Bayesian Spatial Sampling Design. Geostats 2008, Santiago Chile, 2. Dezember 2008.5. Spöck G.: Non-Stationary Spatial Modeling using Harmonic Analysis. Geostats 2008, Santiago Chile,2. Dezember 2008.6. Spöck G.: Bayesian trans-Gaussian Kriging and the Uncertainty of Variogram Estimates. StatGIS 2007,Klagenfurt, 25. September 2007.7. Spöck G.: Spatial Covariance-Robust Minimax Prediction based on Experimental Design Ideas. Moda8,Almagro Spanien, 6. Juni 2007.8. Spöck G.: Noninformative Priors with special Application to Spatial Prediction. 32nd Annual SpringLecture Series, Spatial and Spatio-Temporal Statistics, Fayetteville, Arkansas USA, 14. April 2007.9. Spöck G., Pilz J.: Spatial sampling design for prediction taking account of uncertain covariance structure.Spatial Accuracy 2006, Lisboa, 5. Juli 2006.10. Spöck G., Pilz J.: Transgaussian Bayesian Kriging. Österreichische Statistik Tage, Klagenfurt, 20.Oktober 2005.11. Pilz J., Spöck G.: Bayesian Kriging with lognormal data and uncertain variogram parameters. FifthEuropean Conference on Geostatistics for Environmental Applications, Neuchâtel, 15. Oktober 2004.12. Pluch Ph., Spöck G., Pilz J.: Taking into account uncertainty in spatial covariance estimation forBayesian prediction. useR2004, Wien, 21. Mai 2004.Universitätsstrasse 65-67 – 9020 KlagenfurtH +43 650 2606166 • T +43 2700 3125 • B gunter.spoeck@uni-klu.ac.at
13. Leitner R., Kulcke A., Spöck G., Gurschler C.: Real-time classification of Polymers with NIR SpectralImaging. AGM 2002 / OCG, Workshop of the Austrian Society for Pattern Recognitions, 2002.14. Serafino G., Spöck G.: Spectral Imaging for Classification of Natural and Artifical Turquoise Samples.Conf. OPTO 2002, Erfurt, 2002.15. Pilz J., Spöck G.: Taking Account of Uncertainty in Spatial Covariance Estimation. 5th Int. Geost.Congr, Wollongong Australia, 1997.Poster Presentation1. Spoeck, G.: Spatial sampling design with skew distributions: the special case of trans-Gaussian kriging.GeoStats 2012, Oslo, 12. Juni 2012.2. Spöck G., Kazianka H., Pilz J.: Objective Bayesian analysis of spatially correlated data including measurementerror. Ninth Valencia International Meeting on Bayesian Statistics, Benidorm, 5. Juni 2010.3. Kazianka H., Spöck G., Pilz J.: Trans-Gaussian and Copula-based Bayesian Kriging: A Comparison.Opening Workshop: SAMSI Program on Space-time Analysis for Environmental Mapping, Epidemiologyand Climate Change, North Carolina, 15. September 2009.4. Hussain I., Spöck G., Pilz J.: Homogeneous Climate Regions in Pakistan. Proceedings of The GlobalConference on Global Warming - 2009, Istanbul, 6. Juli 2009.5. Spöck G., Kazianka H., Pilz J.: Modeling and interpolation of non-Gaussian spatial data: A comparativestudy. StatGIS 2009, Milos Island, 18. Juni 2009, www.math.uni-klu.ac.at/stat/Tagungen/statgis/2009.6. Spöck G.: Bayesian locally stationary trans-Gaussian kriging using generalised Voronoi tessellations.GEOENV 2008, Southampton, 9. September 2008.7. Pilz J., Gebhardt A., Kazianka H., Müller H., Spöck G.: Wie reagiert man am besten auf Katastrophenwie Tschernobyl. Tag der Forschung, Klagenfurt, 16. November 2007.8. Pilz J., Pluch Ph., Spöck G.: Bayesian Transgaussian Kriging and Spatial Sampling Design. Int. Conf.of European Geophysical Union (EGU), Wien, 7. April 2006.Universitätsstrasse 65-67 – 9020 KlagenfurtH +43 650 2606166 • T +43 2700 3125 • B gunter.spoeck@uni-klu.ac.at
- Page 1 and 2: GunterSpöckData26.06.1966 Birth.Na
- Page 5 and 6: 6. Pilz J., Kazianka H., Spöck G.:
- Page 7: PresentationsInvited Speaker1. Spö
2. Spöck G.: Simplifying objective functions and avoiding stochastic search algorithms in spatial samplingdesign. JSM 2010, Vancouver, 2. August 2010.3. Spöck G.: Bayesian locally stationary trans-Gaussian kriging using generalized Voronoi tesselations.StatGIS 2009, Milos Island, 18. Juni 2009, www.math.uni-klu.ac.at/stat/Tagungen/statgis/2009.4. Pilz J.: Bayesian Spatial Sampling Design. Geostats 2008, Santiago Chile, 2. Dezember 2008.5. Spöck G.: Non-Stationary Spatial Modeling using Harmonic Analysis. Geostats 2008, Santiago Chile,2. Dezember 2008.6. Spöck G.: Bayesian trans-Gaussian Kriging and the Uncertainty of Variogram Estimates. StatGIS 2007,<strong>Klagenfurt</strong>, 25. September 2007.7. Spöck G.: Spatial Covariance-Robust Minimax Prediction based on Experimental Design Ideas. Moda8,Almagro Spanien, 6. Juni 2007.8. Spöck G.: Noninformative Priors with special Application to Spatial Prediction. 32nd Annual SpringLecture Series, Spatial and Spatio-Temporal Statistics, Fayetteville, Arkansas USA, 14. April 2007.9. Spöck G., Pilz J.: Spatial sampling design for prediction taking account of uncertain covariance structure.Spatial Accuracy 2006, Lisboa, 5. Juli 2006.10. Spöck G., Pilz J.: Transgaussian Bayesian Kriging. Österreichische Statistik Tage, <strong>Klagenfurt</strong>, 20.Oktober 2005.11. Pilz J., Spöck G.: Bayesian Kriging with lognormal data and uncertain variogram parameters. FifthEuropean Conference on Geostatistics for Environmental Applications, Neuchâtel, 15. Oktober 2004.12. Pluch Ph., Spöck G., Pilz J.: Taking into account uncertainty in spatial covariance estimation forBayesian prediction. useR2004, Wien, 21. Mai 2004.Universitätsstrasse 65-67 – 9020 <strong>Klagenfurt</strong>H +43 650 2606166 • T +43 2700 3125 • B gunter.spoeck@uni-klu.ac.at
Change language