Mag. rer. nat., Dr. rer .nat - UniversitÃ¤t Klagenfurt

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16. Kulcke A., Gurschler C., Spöck G., Leitner R., Kraft M.: On-line classification of Synthetic Polymersusing Near-Infrared Spectral-Imaging. In: Journal of Near Infrared Spectroscopy, (2003), 11, 71-81.Research Reports1. Pilz J., Spöck G.: Bayesian Trans-Gaussian Kriging. Münster: Westfälische Wilhelms-Universität Münster,2007, 37.2. Spöck G.: Smile-Face-Correction and Wavelength-Calibration. Villach: CTR AG, Technical Report,2002.3. Spöck G.: Unsupervised Classification. Villach: CTR Carinthian Tech Research AG, 2001.4. Spöck G., Del Bianco A.: Multivariate Image Analysis. Villach: CTR AG, Technical Report, 2000.5. Spöck G., Del Bianco A.: Multivariate Calibration. Villach: CTR AG, Technical Report, 2000.6. Spöck G., Del Bianco A.: Pre-Processing. Villach: CTR AG, Technical Report, 2000.7. Spöck G., Del Bianco A.: Supervised Pattern Recognition. Villach: CTR AG, Technical Report, 2000.Other scientific publications1. Spöck G.: The application of Bayesian statistics and convex design methodologies to geostatisticalprediction and sampling design. Habilitation Thesis. Klagenfurt: Alpen-Adria Universität, 2011, 127pp.2. Spöck G.: Bayesian Spatial Prediction and Sampling Design. Dissertation. Klagenfurt: Alpen-Adria-Universität Klagenfurt, 2005, 183 pp.3. Spöck, G.: Die geostatistische Berücksichtigung von A-Priori-Kenntnissen über die Trendfunktion unddie Kovarianzfunktion aus Bayesscher- Minimax- und Spektraler-Sicht. Master Thesis. Klagenfurt:Alpen-Adria-Universität Klagenfurt, 1997, 84 pp.Universitätsstrasse 65-67 – 9020 KlagenfurtH +43 650 2606166 • T +43 2700 3125 • B gunter.spoeck@uni-klu.ac.at
PresentationsInvited Speaker1. Spöck G.: Spatial sampling design with skew distributions: the special case of trans-Gaussian kriging.Seminar, TexTech University, 27. July 2012.2. Spöck G.: To be or not to be Bayesian. Habilitationskolloquium, Universität Klagenfurt, 25. Oktober2011.3. Spöck G.: Bayessche räumliche Statistik und Computersimulationsexperimente. SIMNET Summerschool,Graz, 10. September 2010, http://www.simnet-styria.at/index.php/veranstaltungen/details/29-summer-school-simnet.4. Pilz J., Spöck G.: Bayesian Spatial Sampling Design. SAMSI Geostats Workgroup session, SAMSINorth Carolina, 18. November 2009.5. Spöck G., Pilz J.: Perspectives on optimum spatial sampling design. SAMSI Geostats Workgroupsession, SAMSI North Carolina, 18. November 2009.6. Spöck G., Pilz J.: Non-stationary spectral representations, GLMMs and spatial sampling design. SAMSINon-non workgroup session, North Carolina, 11. November 2009.7. Spöck G., Kazianka H., Pilz J.: Bayesian spatial prediction. StatGIS 2009, Milos Island, 19. Juni 2009,www.math.uni-klu.ac.at/stat/Tagungen/statgis/2009.8. Spöck G.: Minimax and Bayesian approaches taking into account the uncertainty of the covariancefunction in kriging prediction and spatial sampling design. Forschungsseminar des Institus für Statistik,JKU Linz, Linz, 9. November 2006, www.math-uni-klu.ac.at/stat/ guspoeck/linz06.pdf.9. Pilz J., Helgason Th., Hofer V., Spöck G.: Wavelet-based Classification of Aggregates using MIR andNIR Spectra. 2nd International Spectral Imaging Workshop, Villach, 19. September 2005.Selected Presenter1. Spöck G.: Spatial sampling design for random fields having skewed distributions: The case of trans-Gaussian Kriging. Optimal Design of Experiments Theory and Application, Vienna, 28. September2011.Universitätsstrasse 65-67 – 9020 KlagenfurtH +43 650 2606166 • T +43 2700 3125 • B gunter.spoeck@uni-klu.ac.at
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Mag. rer. nat., Dr. rer .nat - UniversitÃ¤t Klagenfurt

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