Publications Stefan Lang

Google Scholar Profile

 

Books and Manuals

    1. Fahrmeir, L., Kneib, T. , Lang, S., Marx, B. (2022): Regression. Models, Methods and Applications (second edition, first edition 2013), Springer Verlag.

    2. Fahrmeir, L., Kneib, T., Lang, S. (2009): Regression. Modelle, Methoden und Anwendungen (second edition, first edition 2007), Springer Verlag. (in German)

    3. Belitz, C., Brezger, A., Klein, N., Kneib, T., Lang, S., Umlauf, N. (2015): BayesX Manuals.

    4. Caputo, A., Fahrmeir, L., Künstler, R., Lang, S., Pigeot, I., Tutz, G. (2008): Arbeitsbuch Statistik. (fifth edition, first edition 1998), Springer Verlag, Berlin Heidelberg. (in German)

Lecture Notes

    1. Lang S., 2022: Slides Bayesian Inference. Download

    2. Lang S., 2020: Slides Introduction to statistics. Download

    3. Lang S. 2019: Slides Advanced Regression. Download

    4. Lang S. 2015: Slides Non- and semiparametric statistics. Download

    5. Lang S., 2014: Slides Matrixalgebra for economists. Download

    6. Lang, S., 2003: Matrixalgebra (213 pages). Download (in German)

    7. Lang, S., 2003: Skript zur Vorlesung Computerintensive Verfahren (181 pages). Download. (in German)

Refereed Papers and Book Chapters

    1.  Rappl, A., Kneib, T., Lang, S. and Bergherr, E. (2023): Spatial joint models through Bayesian structured piecewise additive joint modelling for longitudinal and time-to-event data. To appear in Statistics and Computing.

    2. Razen, A., Brunauer, W., Klein, N., Kneib, T., Lang, S. and Umlauf, N. (2023): A multilevel analysis of real estate valuation using distributional and quantile regression. To appear in Statistical Modelling.

    3. Klein, N., Carlan, M., Kneib, T., Lang, S., Wagner, H. (2021): Bayesian Effect Selection in Structured Additive Distributional Regression Models. Bayesian Analysis, 16 (2), 545-573

    4. Seiler, J., Harttgen, K., Kneib, T. and Lang, S. (2021): Modelling Childrens Anthropometric Status using Bayesian Distributional Regression merging Socio-economic and Remote Sensed Data from South Asia and Sub-Saharan Africa. Economics and Human Biology, 40, 100950

    5.  Razen, A. and Lang, S. (2020): Random Scaling Factors in Bayesian Distributional Regression Models with an Application to Real Estate Data. Statistical Modelling, 20, 347-368.

    6. Harttgen, K., Lang, S., Santer, J., Seiler, J. (2020): Modelling Under-Five Mortality through Multilevel Structured Additive Regression with Varying Coefficients for Asia and Sub-Saharan Africa. The Journal of Development Studies , 56, 401-430.

    7. Harttgen, K., Lang, S., Seiler J. (2019): Selective mortality and the anthropometric status of children in low-and middle-income countries. Economics and Human Biology , 34, 257-273.

    8. Kneib, T., Klein, N., Lang, S., Umlauf, N. (2019): Rejoinder on: Modular regression-a Lego system for building structured additive distributional regression models with tensor product interactions. TEST , 28, 55-59.

    9. Kneib, T., Klein, N., Lang, S., Umlauf, N. (2019): Modular regression-a Lego system for building structured additive distributional regression models with tensor product interactions. TEST , 28, 1-39.

    10. Pollice, A., Lasinio, G.J., Rossi, R., Amato, M., Kneib, T., Lang, S. (2019): Bayesian measurement error correction in structured additive distributional regression with an application to the analysis of sensor data on soil–plant variability. Stochastic Environmental Research and Risk Assessment , 33, 747-763.

    11. Weber, A., Steiner, W. and S. Lang (2017): A Comparison of Semiparametric and Heterogeneous Store Sales Models for Optimal Category Pricing. OR Spectrum, 39, 403–445.

    12. Klein, N., Kneib, T., Lang, S. and Sohn, A. (2015): Bayesian Structured Additive Distributional Regression with an Application to Regional Income Inequality in Germany. The Annals of Applied Statistics, 9, 1024-1052.

    13. Klein, N., Kneib, T., Lang, S. (2015): Bayesian generalized additive models for location, scale and shape for zero-inflated and overdispersed count data. Journal of the American Statistical Association, 110, 405-419.

    14. Lang, S., Steiner, W., Weber, A., Wechselberger, P. (2015): Accommodating Heterogeneity and Functional Flexibility in Store Sales Models: A Bayesian Semiparametric Approach. European Journal of Operational Research, 246, 232–241.

    15. Razen, A., Brunauer, W., Klein, N., Lang, S., Umlauf, N. (2015): Hedonic House Price Modeling based on Multilevel Structured Additive Regression. In Computational Approaches for Urban Economics, Springer Verlag. Edited by Helbich, M., Jokar, J. and Leitner, M.

    16. Klein, N., Kneib, T., Klasen, S., Lang, S. (2014): Bayesian Structured Additive Distributional Regression for Multivariate Responses. Journal of the Royal Statistical Society C, 64, 569-591.

    17. Umlauf, N., Kneib, T., Lang, S., Zeileis, A. (2014): Structured Additive Regression Models: An R Interface to BayesX. Journal of Statistical Software, 63, 1-46.

    18. Klein, N., Denuit, M., Lang, S., Kneib, T. (2014): Nonlife Ratemaking and Risk Management with Bayesian Additive Models for Location, Scale and Shape. Insurance: Mathematics and Economics, 55, 225-249.

    19. Lang, S., Umlauf, N., Wechselberger, P., Harttgen, K., Kneib, T. (2014): Multilevel Structured Additive Regression. Statistics and Computing, 24, 223-238.

    20. Waldmann, E., Kneib, T., Lang, S., Yue, Y., Flexeder, C. (2013): Bayesian Semiparametric Additive Quantile Regression. Statistical Modelling, 13, 223-252.

    21. Brunauer, W., Lang, S., Umlauf, N. (2013): Modeling House Prices using Multilevel Structured Additive Regression. Statistical Modeling, 13, 95-123.

    22. Brunauer, W., Lang, S., Feilmayr, W. (2013): Hybrid Multilevel STAR Models for Hedonic House Prices. Review of Regional Research, 1-22.

    23. Fahrmeir, L., Kneib, T., Lang, S. (2013): Bayesian Multilevel Models. In The SAGE Handbook of Multilevel Modeling . Edited by Scott, M.A., Simonoff, J.S. and Marx, B.D.

    24. Goebel, G. Berger, R., Strasak, A. M., Egle, D., Müller-Holzner, E., Schmidt, S., Rainer, J., Presul, E. Parson, W., Lang, S., Jones, A., Widschwendter, M., Fiegl, H. (2012): Elevated mRNA expression of CHAC1 splicing variants is associated with poor outcome for breast and ovarian cancer patients free. British Journal of Cancer, 106, 189-198.

    25. Strasak, A.S., Umlauf, N., Pfeiffer, R.M., Lang, S. (2011): Comparing Penalized Splines and Fractional Polynomials as Smoothing Techniques for Flexible Modelling the Effect of Continuous Predictor Variables. Computational Statistics and Data Analysis, 55, 1540-1551.

    26. Brunauer, W., Keiler, S., Lang, S. (2011): Cost Drivers of Operation Charges and Variation over Time: An Analysis Based on Semiparametric SUR Models. Energy and Buildings, 43, 1189-1199.

    27. Strasak et al. (2011): Antibody dynamics and spontaneous viral clearance in patients with acute hepatitis C infection in Rio de Janeiro, Brazil. Bmc Infectious Diseases , 11, 15.

    28. Gächter, M., Lang, S., Schwarzer, P. (2011): Semiparametrische Regression und deren Anwendung in der Gesundheitsökonomik. In Gesundheits- und Sozialpolitik im Diskurs (in German) edited by Nussbaumer, J., Pruckner, G., Sausgruber, R., Winner, H., Springer Verlag.

    29. Brunauer, W., Lang, S., Wechselberger, P. (2010): Additive Hedonic Regression Models with Spatial Scaling Factors: An Application for Rents in Vienna. Journal of Real Estate Finance and Economics, 40, 390-411.

    30. Belitz, C., Hübner, J., Klasen, S., Lang, S. (2010): Determinants of the socioeconomic and spatial pattern of undernutrition by sex in India: A geoadditive semi-parametric regression approach. In: Statistical Modelling and Regression Structures - Festschrift in the Honour of Ludwig Fahrmeir, edited by Kneib, T. and Tutz, G., 155-180, Physika Verlag.

    31. 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, 20, 1113-1120.

    32. 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. Annals of Epidemiology, 19, 15-24.

    33. Wechselberger, P., Lang, S., Steiner, W. (2008): Additive models with random scaling factors: applications to modeling price response functions. Austrian Journal of Statistics,37, 255-270.

    34. Belitz, C., Lang, S. (2008): Simultaneous selection of variables and smoothing parameters in structured additive regression models. Computational Statistics and Data Analysis , 53 , 61-81.

    35. Gregorya, M., Ulmer, H., Pfeiffer, K.P., Lang, S., 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.

    36. Brezger, A., Lang, S. (2008): Simultaneous probability statements for Bayesian P-splines. Statistical Modeling, 8, 141-186.

    37. Steixner, D., Brunauer, W., Lang, S. (2007): Demand vs. consumption - analysing the energy certification for buildings. Journal of Building Appraisal,3, 213-229.

    38. Belitz, C., 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.

    39. Augustin, N., Lang, S., Musio, N., 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.

    40. Steiner, W. J., Belitz, C., 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.

    41. Brezger, A., Lang, S. (2006): Generalized structured additive regression based on Bayesian P-splines. Computational Statistics and Data Analysis, 50, 967-991.

    42. Brezger, A., Kneib, T., Lang, S., (2005): BayesX: Analysing Bayesian structured additive regression models. Journal of Statistical Software, 14 (11).

    43. Jerak, A., Lang, S. (2005): Locally Adaptive Function Estimation for Binary Regression Models. Biometrical Journal, 47, 151-166.

    44. Denuit, M., Lang, S. (2004): Nonlife Ratemaking with Bayesian GAM's. Insurance: Mathematics and Economics, 35, 627-647.

    45. Fahrmeir, L., Kneib, Th., Lang, S. (2004): Penalized additive regression for space-time data: a Bayesian perspective. Statistica Sinica, 14, 731-761.

    46. Lang, S., Brezger, A. (2004): Bayesian P-Splines. Journal of Computational and Graphical Statistics, 13, 183-212.

    47. Fahrmeir, L., Lang, S.,Wolff, J., Bender, S. (2003): Semiparametric Bayesian Time-Space Analysis of Unemployment Duration. Journal of the German Statistical Society (Allgemeines Statistisches Archiv), 87, 281-307.

    48. Lang, S., Adebayo, S., Fahrmeir, L., Steiner, W. (2003): Bayesian Geoadditive Seemingly Unrelated Regression. Computational Statistics, 18, 263-292.

    49. Lang, S., 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.

    50. DownloadFahrmeir, L. Lang, S., Spies, F. (2003): Generalized Geoadditive Models for Insurance Claims Data. Blätter der Deutschen Gesellschaft für Versicherungsmathematik, 26, 7-23.

    51. Lang, S., Adebayo, S., Fahrmeir, L. (2002): Bayesian Semiparametric Seemingly Unrelated Regression. In: Härdle, W. and Rönz, B. (eds.): Proceedings in Computational Statistics, 195-200, Physika-Verlag, Heidelberg.

    52. Lang, S., Fronk, E.M., Fahrmeir, L. (2002): Function estimation with locally adaptive dynamic models. Computational Statistics, 17, 479-500.

    53. Jerak, A., 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.

    54. Lang, S., Kragler, P, Haybach, G., 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.

    55. Kandala, N.B., Lang, S., Klasen, S., 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.

    56. Kandala, N.B., Lang, S., 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.

    57. Fahrmeir, L., Lang, S. (2001): Bayesian Semiparametric Regression Analysis of Multicategorical Time-Space Data. Annals of the Institute of Statistical Mathematics, 53, 11-30.

    58. Fahrmeir, L., 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.

Submitted Papers

    1. Umlauf, N., Seiler, J., Wetscher, M., Simon, T., Lang, S. and Klein, N. (2023): Scalable Estimation for Structured Additive Distributional Regression.

    2. Granna, J., Brunauer, W., Lang, S. (2023): Proposing a global model to manage the bias-variance trade-off in the context of hedonic house price models

Papers in Proceedings

    1. Klein, N., Kneib, T. Lang, S., Razen, A. (2016): Bayesian distributional structured additive regression. Proceedings of the 31th International Workshop on Statistical Modelling, Rennes.

    2. Roth, H. and Lang, S. (2015): Posterior Sensitivity of Variance Priors in Bayesian Structured Additive Regression. Proceedings of the 30th International Workshop on Statistical Modelling, Linz.

    3. Lang, S., Umlauf, N. (2010): Applications of Multilevel Structured Additive Regression Models to Insurance Data. Compstat 2010 Proceedings, 155-165. Springer Verlag.

    4. Lang, S., Umlauf, N. Brunauer, W. (2010): Hierarchical Structured Additive Regression. Proceedings of the 25th International Workshop on Statistical Modelling, edited by Bowman, A., The University of Glasgow Print Unit.

    5. Belitz, C., Lang, S. (2008): Complex additive penalties for generalized structured additive regression. Proceedings of the 23rd International Workshop on Statistical Modelling, Utrecht, 115-120.

    6. Brunauer, W., Lang, S. Kaufmann, P., Bienert, S., 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.

    7. Brunauer, W., Lang, S., 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.

    8. Brunauer, W., Lang, S., 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.

    9. Brunauer, W., Lang, S., Wechselberger, P., 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.

    10. Fahrmeir, L., 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.

    11. Lang, S., 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.

    12. Bender, S., Fahrmeir, L., 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.

    13. Bender, S., Fahrmeir, L., 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

    1. Kneib, T., Lang, S., Brezger, A. (2004): Bayesian semiparametric regression based on MCMC techniques: A tutorial. Download.

    2. Kneib, T., Lang, S., Brezger, A. (2004): Bayesian semiparametric regression based on mixed model methodology: A tutorial. Download.

    3. Bender, S., Kohlmann, A., 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.

    4. 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.

    5. Biller, C., Fahrmeir, L., Gieger, Ch., Klinger, A., Lang, S. (2001): Statistische Analyse der Nettomieten. In: Mietspiegel für München 2001, Statistik, Dokumentation und Analysen. Stadt München, Amt für Wohnungswesen.

    6. Biller, C., Fahrmeir, L., Gieger, Ch., Klinger, A., Lang, S. (1999): Statistische Analyse der Nettomieten. In: Mietspiegel für München '99, Statistik, Dokumentation und Analysen. Stadt München, Amt für Wohnungswesen.

 



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