Univ.-Prof. Dr. Stefan Lang
Professor - aktiv
Universität
Universität Innsbruck
Universität Innsbruck
Fachbereich
Fakultät für Volkswirtschaft und Statistik
Fakultät für Volkswirtschaft und Statistik
Institut
Institut für Statistik
Institut für Statistik
Arbeitsbereiche
Statistik
Statistik
Land
Österreich
Österreich
Ort / PLZ
6020 Innsbruck
6020 Innsbruck
Strasse
Universitätsstraße 15
Universitätsstraße 15
Telefon
+43 (0)512 507 7110
+43 (0)512 507 7110
FAX
+43 (0)512 507 2851
+43 (0)512 507 2851
Veröffentlichungen
Fahrmeir, L., Kneib, T. , Lang, S., Marx, B. (2011): Regression. Models, Methods and Applications. Springer Verlag, Berlin Heidelberg, to appear.
Fahrmeir, L., Kneib, T. and Lang, S. (2009): Regression. Modelle, Methoden und Anwendungen. (2. Auflage, erste Auflage 2007) Springer Verlag, Berlin Heidelberg. (in German)
Belitz, C., Brezger, A., Kneib, T., Lang, S. (2009): BayesX Manuals.
Caputo, A., Fahrmeir, L., Künstler, R., Lang, S., Pigeot, I., Tutz, G. (2008): Arbeitsbuch Statistik. (5. Auflage, erste Auflage 1998), Springer Verlag, Berlin Heidelberg. (in German)
Lecture notes
Lang, S., 2003: Matrixalgebra (213 pages). Download (in German)
Lang, S., 2003: Skript zur Vorlesung Computerintensive Verfahren (181 pages). Download. (in German)
Refereed papers
Strasak et al. (2009): Time-dependent Association of Total Serum Cholesterol and Cancer Incidence in a Cohort of 172,210 Men and Women: A Prospective 19-year Follow-up Study. Annals of Oncology, to appear.
Brunauer, W., Lang, S. and Wechselberger, P. (2009): Additive Hedonic Regression Models with Spatial Scaling Factors: An Application for Rents in Vienna. Journal of Real Estate Finance and Economics, to appear.
Strasak, A.M., Lang, S. et al. (2009): Use of Penalized Splines in Extended Cox-type Additive Hazard Regression to Flexibly Estimate the Effect of Time-varying Serum Uric Acid on Risk of Cancer Incidence: A Prospective, Population-based Study in 78850 Men. To appear in Annals of epidemiology, 19, 15-24.
Wechselberger, P., Lang, S. and Steiner, W. (2008): Additive models with random scaling factors: applications to modeling price response functions. Austrian Journal of Statistics,37, 255-270. Download
Belitz, C. and Lang, S. (2008): Simultaneous selection of variables and smoothing parameters in structured additive regression models. Computational Statistics and Data Analysis,53 , 61-81,
Download
Gregorya, M., Ulmer, H., Pfeiffer, K.P., Lang, S. and Strasak, A.M. (2008): A set of SAS macros for calculating and displaying adjusted
odds ratios (with confidence intervals) for continuous covariates in logistic B-spline regression models. Computer methods and programs in biomedicine, 92, 109-114.
Brezger, A., Lang, S. (2008): Simultaneous probability statements for Bayesian P-splines. Statistical Modeling, 8, 141-186. Download
Steixner, D., Brunauer, W. and Lang, S. (2007): Demand vs. consumption - analysing the energy certification for buildings. Journal of Building Appraisal,3, 213-229.
Belitz, C. and Lang, S. (2007): Simultaneous selection of variables and smoothing parameters in geoadditive regression models. In: Advances in Data Analysis. Edited by Bock, H.-H., Gaul, W., Okada, A. and Vichi, M, 189-196.
Augustin, N., Lang, S., Musio, N. and van Wilpert, K. (2007): A spatial model for the needle losses of pine trees in the forests of Baden-Württemberg: An application of Bayesian structured additive regression. Journal of the Royal Statistical Society C, 56, 29-50. Download
Steiner, W. J., Belitz, C. and Lang, S. (2006): Semiparametric Stepwise Regression to Estimate Sales Promotion Effects. In: From Data and Information Analysis to Knowledge Engineering. Edited by Spiliopoulou, M., Kruse, R., Borgelt, C., Nürnberger, A. and Gaul, W.
Brezger, A. and Lang, S. (2006): Generalized structured additive regression based on Bayesian P-splines. Computational Statistics and Data Analysis, 50, 967-991. Download
Brezger, A., Kneib, T. and Lang, S., (2005): BayesX: Analysing Bayesian structured additive regression models. Journal of Statistical Software, 14 (11).
Jerak, A. and Lang, S. (2005): Locally Adaptive Function Estimation for Binary Regression Models. Biometrical Journal, 47, 151-166. Download
Denuit, M. and Lang, S. (2004): Nonlife Ratemaking with Bayesian GAM's. Insurance: Mathematics and Economics, 35, 627-647.
Fahrmeir, L., Kneib, Th. and Lang, S. (2004): Penalized additive regression for space-time data: a Bayesian perspective. Statistica Sinica, 14, 731-761. Download
Lang, S. and Brezger, A. (2004): Bayesian P-Splines. Journal of Computational and Graphical Statistics, 13, 183-212. Download
Fahrmeir, L., Lang, S.,Wolff, J. and Bender, S. (2003): Semiparametric Bayesian Time-Space Analysis of Unemployment Duration. Journal of the German Statistical Society (Allgemeines Statistisches Archiv), 87, 281-307.
Lang, S., Adebayo, S., Fahrmeir, L. and Steiner, W. (2003): Bayesian Geoadditive Seemingly Unrelated Regression. Computational Statistics, 18, 263-292. Download
Lang, S. and Sunder, M. (2003): Nonparametric Regression with BayesX: A Flexible Estimation of Trends in Human Physical Stature in 19th Century America. Economics and Human Biology, 1, 77-90. Download
Fahrmeir, L. Lang, S. and Spies, F. (2003): Generalized Geoadditive Models for Insurance Claims Data. Blätter der Deutschen Gesellschaft für Versicherungsmathematik, 26, 7-23.
Lang, S., Adebayo, S. and Fahrmeir, L. (2002): Bayesian Semiparametric Seemingly Unrelated Regression. In: Härdle, W. and Rönz, B. (eds.): Proceedings in Computational Statistics, 195-200, Physika-Verlag, Heidelberg.
Lang, S., Fronk, E.M. and Fahrmeir, L. (2002): Function estimation with locally adaptive dynamic models. Computational Statistics, 17, 479-500. Download
Jerak, A. and Lang, S. (2002): Locally adaptive function estimation for categorical regression models. In: Härdle, W. and Rönz, B. (eds.): Proceedings in Computational Statistics, 425-430, Physika-Verlag, Heidelberg.
Lang, S., Kragler, P, Haybach, G. and Fahrmeir, L. (2002): Bayesian Space-Time Analysis of Health Insurance Data. In: Exploratory Data Analysis in Empirical Research. Edited by M. Schwaiger, and O. Opitz. Download
Kandala, N.B., Lang, S., Klasen, S. and Fahrmeir, L. (2001): Semiparametric Analysis of the Socio-Demographic and Spatial Determinants of Undernutrition in Two African Countries.Research in Official Statistics, 1, 81-100.
Kandala, N.B., Lang, S. and Klasen, S. (2001): Semiparametric Analysis of Childhood Undernutrition in Developing Countries. In: Monographs of Official Statistics, Bayesian methods with applications to science, policy and official statistics. Edited by George, E.
Fahrmeir, L. and Lang, S. (2001): Bayesian Semiparametric Regression Analysis of Multicategorical Time-Space Data. Annals of the Institute of Statistical Mathematics, 53, 11-30. Download
Fahrmeir, L. and Lang, S. (2001): Bayesian Inference for Generalized Additive Mixed Models Based on Markov Random Field Priors. Journal of the Royal Statistical Society C, 50, 201-220. Download
Papers in Proceedings
Belitz, C. and Lang, S. (2008): Complex additive penalties for generalized structured additive regression. Proceedings of the 23rd International Workshop on Statistical Modelling, Utrecht, 115-120.
Brunauer, W., Lang, S. Kaufmann, P., Bienert, S. and Koch, M. (2007): How to identify cost drivers in real estate benchmarking: an emirical survey of heating costs. Proceedings of the 6th EuroFM Research Symposium, 23-34.
Brunauer, W., Lang, S. and Bienert, S. (2007): Spatial Hedonic Regression Models for Real Estate in the Vienna City Region. Proceedings of the 14th Annual European Real Estate Society (ERES) Conference, London, 27-30 June 2007.
Brunauer, W., Lang, S. and Steixner, D. (2007): The Determinants of Heating and Maintenance Costs: An Empirical Survey. Proceedings of the 12th Asian Real Estate Society (AsRES) Conference, Macau, 9-12 July, 2007.
Brunauer, W., Lang, S., Wechselberger, P. and Bienert, S. (2007): Additive Hedonic Regression Models with Spatial Scaling Factors: An Application for Rents in Vienna. Proceedings of the 15th Annual European Real Estate Society (ERES) Conference, Krakow, 18-21 June 2008.
Fahrmeir, L. and Lang, S. (2000): Bayesian Semiparametric Regression Analysis of Multicategorical Time-Space Data. Proceedings of the International Symposium on Frontiers of Time Series Modeling in Tokio.
Lang, S. and Brezger, A. (2000): Bayesian P-splines. Proceedings of the 15th International Workshop on Statistical Modelling, edited by Nunez-Anton, V. and Ferreira, E., 318-323, Bilbao.
Bender, S., Fahrmeir, L. and Lang, S. (1999): Determinanten der Arbeitslosigkeit in Westdeutschland. In: Felix Buechel, Martin Diewald, Peter Krause, Antje Mertens und Heike Solga (Hrsg.): Soziale Ausgrenzung am deutschen Arbeitsmarkt, Leske + Budrich, Leverkusen. (in German)
Bender, S., Fahrmeir, L. and Lang, S. (1999): Semiparametric Bayesian Analysis of Discrete Time Duration Data. In: Marx, B., Friedl, H. (eds): Proceedings of the 13th International Workshop on Statistical Modeling, New Orleans, USA.
Others
Kneib, T., Lang, S. und Brezger, A. (2004): Bayesian semiparametric regression based on MCMC techniques: A tutorial. Download.
Kneib, T., Lang, S. und Brezger, A. (2004): Bayesian semiparametric regression based on mixed model methodology: A tutorial. Download.
Bender, S., Kohlmann, A. and Lang, S. (2003): Women, Work, and Motherhood: Changing Employment Penalties for Motherhood in West Germany after 1945 – A Comparative Analysis of Cohorts Born in 1934-1971. MPIDR WORKING PAPER WP 2003 -006, Max Planck Institute for Dempgraphic Research. Download.
Lang, S., Fahrmeir, L. (2001): Bayesian generalized additive mixed models. A simulation study. Discussion Paper 230, SFB 386. Supplement paper to Fahrmeir, L. and Lang, S. (2001): Bayesian Semiparametric Regression Analysis of Multicategorical Time-Space Data. Annals of the Institute of Statistical Mathematics, 53, 10-30. Download.
Biller, C., Fahrmeir, L., Gieger, Ch., Klinger, A. and Lang, S. (2001): Statistische Analyse der Nettomieten. In: Mietspiegel für München 2001, Statistik, Dokumentation und Analysen. Stadt München, Amt für Wohnungswesen.
Biller, C., Fahrmeir, L., Gieger, Ch., Klinger, A. and Lang, S. (1999): Statistische Analyse der Nettomieten. In: Mietspiegel für München '99, Statistik, Dokumentation und Analysen. Stadt München, Amt für Wohnungswesen. Nutzungshinweise: Jede natürliche Person darf sich nur mit einer E-Mail Adresse bei WiWi-Online registrieren lassen. Die Nutzung der Daten die WiWi-Online bereitstellt ist nur für den privaten Gebrauch bestimmt - eine gewerbliche Nutzung ist verboten. Eine automatisierte Nutzung von WiWi-Online und dessen Inhalte, z.B. durch Offline-Browser, Download-Manager oder Webseiten etc. ist ausdrücklich strengstens untersagt. Zuwiderhandlungen werden straf- und zivilrechtlich verfolgt.