Prof. Dr. Christian Aßmann

Sprechstunde

• nach Vereinbarung mittels vorheriger Anmeldung per E-Mail

Lehrveranstaltungen

• Aktuelle Informationen zu den Vorlesungen und Übungen Advanced Statistics (Fortgeschrittene Statistik bzw. Statistik III) und Advanced Topics in Survey Statistics I finden Sie im Univis.

Mitarbeit in Gremien und Kommissionen

• Mitglied des Expertengremiums zum Monitoring des Gute-KiTa-Gesetz des Bundesministeriums für Familie, Senioren, Frauen und Jugend (BMFSFJ) 2019-2024

Eigene Drittmittelprojekte

• DFG-Projekt: „Ein Bayesianischer Modellrahmen für die Auswertung von Daten aus längsschnittlichen Large-scale Assessments“ gemeinsam mit Frau Prof. Dr. Steffi Pohl und Herrn Prof. Dr. Claus H. Carstensen im Rahmen des DFG Schwerpunktprogramm SP1646 „Education as a Lifelong Process“
• DFG-Projekt: „Analyse der Beziehungen zwischen latenten Kompetenzen und Kontextinformationen in den NEPS Startkohorten“ gemeinsam mit Frau Prof. Dr. Steffi Pohl und Herrn Prof. Dr. Claus H. Carstensen im Rahmen des DFG Schwerpunktprogramm SP1646 „Education as a Lifelong Process“

Veröffentlichungen in referierten Fachzeitschriften und Sammelbänden mit Gutachtersystem

• Bergrab, M. and Aßmann, C. (2024): Bayesian Variable Selection Methods for Binary Regression Models with Missing Covariate Data, online first, AStA Wirtschafts- und Sozialstatistisches Archiv. DOI: 10.1007/s11943-024-00345-1
• Aßmann, C., Boysen-Hogrefe, J und Pape, M. (2023): Post-processing for Bayesian analysis of reduced rank regression models with orthonormality restrictions, Advances in Statistical Analysis (forthcoming), doi.org/10.1007/s10182-023-00489-5.
• Aßmann, C., Gaasch, J.C. und Stingl, D. (2023): A Bayesian Approach Towards Missing Covariate Data in Multilevel Latent Regression Models, Psychometrika, 88(4), 1495–1528. doi.org/10.1007/s11336-022-09888-0.
• Hermanussen, M., Aßmann, C. und Groth, D. (2021): Chain Reversion for Detecting Associations in Interacting Variables—St. Nicolas House Analysis, International Journal of Environmental Research and Public Health, 18(4). DOI: 10.3390/ijerph18041741.
• Aßmann, C. und Preising, M. (2020): Bayesian Estimation and Model Comparison for Linear Dynamic Panel Models with Missing Values, Australian & New Zealand Journal of Statistics, 62(4), 536-577. DOI:  10.1111/anzs.12316.
• Sixt, M. und Aßmann, C. (2020): The influence of regional school infrastructure and labor market conditions on the transition process to secondary schooling in Germany, Journal for Educational Research Online, 12(2), 36-66, https://www.waxmann.com/artikelART104168.
• Henning, C., Aßmann, C., Hedtrich, J., Ehrenfels, J., und Krampe, E. (2019): What Drives Participatory Policy Processes: Grassroot Activities, Scientific Knowledge or Donor Money? - A comparative policy network approach -, Social Networks, 58:78-104. DOI: 10.1016/j.socnet.2019.03.001.
• Mumm, R. und Aßmann, C. (2018): Community-based Clustering of Height in Ethiopia, India, Peru, and Vietnam, American Journal of Physical Anthropology, 167:272-281. DOI: 10.1002/ajpa.23623.
• Aßmann, C.; Würbach, A.; Goßmann, S.; Geißler, F.; und Bela, A. (2017): Nonparametric multiple imputation for questionnaires with individual skip patterns and constraints: The case of income imputation in the National Educational Panel Study, Sociological Methods and Research, 46(4), pp. 864-897. DOI: 10.1177/0049124115610346.
• Aßmann, C.; Boysen-Hogrefe, J.; und Pape, M. (2016): Bayesian Analysis of Static and Dynamic Factor Models: An Ex-Post Approach towards the Rotation Problem, Journal of Econometrics, 192(1), pp. 190-206. DOI: 10.1016/j.jeconom.2015.10.010.
• Kärner, T.; Sembill, D.; Aßmann, C.; Friederichs, E.; Carstensen, C. (2016): Analysis of person-situation interactions in educational settings via cross-classified multilevel longitudinal modelling: illustrated with the example of students’ stress experience, Frontline Learning Research, vol. 5(1), 16-42, DOI: 10.14786/flr.v5i1.137.
• Preising, M.; Suchomlinov, A.; Tutkuviene, J.; und Aßmann, C. (2016): Modelling human height and weight: a Bayesian approach towards model comparison, European Journal of Clinical Nutrition. DOI: 10.1038/ejcn.2016.23.
• Suchomlinov, Andrej; Čerškus, Gediminas; Kolosov, Andrej; Rakita, Ignas; Aßmann, Christian; Jakimavičienė, Eglė; Tutkuvienė, Janina (2016): Increasing prevalence of overweight and obesity among children in Vilnius, Lithuania: comparison of two longitudinal data sets of children born in 1990 and 1996. In: Anthropologischer Anzeiger, 73/3, 177-185. DOI: 10.1127/anthranz/2016/0634.
• Aßmann, C. (2016): Multiple imputation as one tool to provide longitudinal databases for modelling human height and weight development, European Journal of Clinical Nutrition. DOI: 10.1038/ejcn.2016.22.
• Ipsen, J.; Nowak-Szczepanska, N.; Gomula, A.; Aßmann, C.; und Hermanussen, M.. (2016): The association of body height, height variability and inequality, Journal of Biological and Clinical Anthropology. 73/1, 1-6. DOI: 10.1127/anthranz/2015/0623.
• Hermanussen, M.; Stec, K.; Aßmann, C.; Meigen, C.; van Buuren, S. (2016): Synthetic growth reference charts. American Journal of Human Biology, 28(1), 98‐111. DOI: 10.1002/ajhb.22759.
• Aßmann, C.; Gaasch, C.; Pohl, S.; und Carstensen, C. H. (2015): Bayesian estimation in IRT models with missing values in background variables. Psychological Test and Assessment Modeling.
• Hermanussen, M.; Scheffler, C.; Groth, D.; Aßmann, C. (2015): Height and skeletal morphology in relation to modern life style, Journal of Physiological Antropology. DOI: 10.1186/s40101-015-0080-4.
• Bogin, B.; Hermanussen, M.; Blum, W.; Aßmann, C. (2015): Sex, Sport, IGF-1 and the community effect in height hypothesis, International Journal of Environmental Reseach and Public Health, 12, 4816-4832; DOI: 10.3390/ijerph120504816.
• Steinhauer, H.W.; Aßmann, C.; Zinn, S.; Goßmann, S.; Rässler, S. (2015): Sampling and Weighting Cohort Samples in Institutional Contexts. In: AStA Wirtschafts- und Sozialstatistisches Archiv, S. 1–27. DOI: 10.1007/s11943-015-0162-0.
• Bahrami, S.; Aßmann, C.; Meinfelder, F.; Rässler, S (2015): A Split Questionnaire Survey Design for Data with Block Structure Correlation Matrix, erschienen in "Improving survey methods lessons from recent research", Hrsg.: Engel, U., Jann, B., Lynn, P., Scherpenzeel, A.,  Sturgis, P., Routledge.
• Hermanussen, M; Aßmann, C; Staub, K.; Groth, D.; und Alt, C. (2014): The impact of physical connectedness on body height in Swiss conscripts, Journal of Biological and Clinical Anthropology, 71(4), 313-27. DOI: 10.1127/0003-5548/2014/0466.
• Aßmann, C.; Boysen-Hogrefe, J.; und Jannsen, N. (2013): Costs of Housing Crises: International Evidence, Bulletin of Economic Research, 65(4), 299-313, DOI: 10.1111/j.1467-8586.2011.00408.x
• Aßmann, C. und Hermanussen, M. (2013): Determinants of growth: Evidence for a community-based target in height?, Pediatric Research, 74, 88-95, DOI: 10.1038/pr.2013.50
• Aßmann, C. (2012): Determinants and Costs of Current Account Reversals under Heterogeneity and Serial Correlation, Applied Economics, 44(13), pp. 1685 - 1700, DOI: 10.1080/00036846.2011.554370
• Aßmann, C.; Hermanussen, M.; Wöhling, H.; und Zabransky, M. (2012): Harmonizing national growth references for multi-centre surveys, drug monitoring, and international postmarketing surveillance: the patch-work growth chart, Acta Paediatrica 101(1), 78-84, DOI: 10.1111/j.1651-2227.2011.02415.x
• Aßmann, C. und Boysen-Hogrefe, J. (2012): Determinants of government bond spreads in the Euro area - in good times as in bad, Empirica: Journal of European Economics, 39, pp. 341-356, DOI: 10.1007/s10663-011-9171-6
• Aßmann, C. und Boysen-Hogrefe, J. (2011): A Bayesian Approach to Model-Based Clustering for Binary Panel Probit Models, Computational Statistics & Data Analysis 55(1), 261-279, DOI: 10.1016/j.csda.2010.04.016.
• Aßmann, C. und Boysen-Hogrefe, J. (2010): Analysis of Current Account Reversal via Regime Switching Models, Economic Change and Restructuring 43(1), 21-43, DOI: 10.1007/s10644-009-9076-6
• Aßmann, C., Hermanussen, M. und Tutkuviene, J. (2010): Statistical agreement and cost-benefit: can we replace established empirical methods for constructing growth reference charts?,  Annals of Human Biology 37(1), 57-69, DOI: 10.\-3109/03014460903173379
• Aßmann, C., Boysen-Hogrefe, J. und Liesenfeld, R. (2009): The Decline in German Output Volatility: A Bayesian Analysis, Empirical Economics 37(3), 653-679, DOI: 10.1007/s00181-008-0251-9
• Aßmann, C. und Boysen-Hogrefe, J. (2009): Dynamic multi-sector CGE modeling and the specification of capital: Comment on Farmer and Wendner (2004), Structural Change and Economic Dynamics 20(1), 74-75, DOI: 10.1016/j.strueco.2007.11.002

Gastherausgeberschaft 

• Pohl, S., & Aßmann, C., (2015). Missing values in large scale assessments [Special issue]. Psychological Test and Assessment Modeling, Volume 57 (4), 469-471.

Monographien

• Aßmann, C. (2004). Timing and Detecting Structural Breaks. Diplomarbeit, Christian-Albrechts-Universität zu Kiel.
• Aßmann, C. (2009). An empirical analysis of current account data. Dissertation, Christian-Albrechts-Universität zu Kiel, http://macau.uni-kiel.de/receive/dissertation_diss_00003452.

Diskussionspapiere

• Bayesian analysis of binary panel probit models: The case of measurement error and missing values in explaining factors, mit Solange Goßmann und Benno Schönberger
  NEPS Working Paper No. 35, Bamberg (2014)
• Aßmann, C. (2008): Assessing the Effect of Current Account and Currency Crises on Economic Growth, Economic Working Paper No. 2008-01.
• Aßmann, C., Henning, C. H.C.A., und Mumm, J. (2008): Social Network Estimation and Imputation. ADVANCED EVAL Working Paper Series WP4-14, University of Kiel.

Sonstige Veröffentlichungen

• Aßmann, C., Würbach, A., Dumpert, F. und Saidani, Y. (2024), Full conditional distributions for handling restrictions in the context of automated statistical data editing, Manuskript accepted as a conference contribution within the 'Conference of European Statisticians 2024' of the United Nations Economic Commission for Europe, see unece.org statistics/events/SDE2024
• Aßmann, C., Gnambs, T., Konrad, A. und Würbach, A. (2024). Estimation of Corona effects on mathematical competencies in Grade 9 using NEPS Data: Methodological Companion (LIfBi Working Paper No. 113). Leibniz Institute for Educational Trajectories.   DOI: 10.5157/LIfBi:WP113:1.0  
• Aßmann, C., Landrock, U. und Würbach, A. (2022). Ein Blick aus vielen Perspektiven: Was längsschnittliche Studien wie das Nationale Bildungspanel (NEPS) bei der Analyse von Übergängen leisten. SchulVerwaltung spezial, (5), 202 - 205.
• Aßmann, C., Steinhauer, H. W., Würbach, A., Zinn, S., Hammon, A., Kiesl, H., Rohwer, G., Rässler, S. und Blossfeld, H.-P. (2019), Sampling Designs of the National Educational Panel Study: Setup and Panel Development.In: H.-P. Blossfeld und H.-G. Roßbach (Eds.) Education as a Lifelong Process (2nd edition). The German National Educational Panel Study (NEPS) (Edition ZfE, vol. 3), pp. 35-55. doi: 10.1007/978-3-658-23162-0_3. 
• Aßmann C., Krampe E., Henning C. (2018) The Formation of Elite Communication Networks in Malawi: A Bayesian Econometric Approach. In: Henning C., Badiane O., Krampe E. (eds) Development Policies and Policy Processes in Africa. Advances in African Economic, Social and Political Development. Springer, Cham, doi:10.1007/978-3-319-60714-6_9
• Weighting Panel Cohorts in Institutional Contexts, mit Hans Walter Steinhauer und Sabine Zinn, erschienen in Methodological Issues of Longitudinal Surveys, Hans-Peter Blossfeld et al. (eds.), Springer Verlag, (2016), doi:10.1007/978-3-658-11994-2_3
• Estimation of Plausible Values using Background Variables with Missing Values: A Data Augmented MCMC Approach, mit Claus H. Carstensen, Christoph Gaasch und Steffi Pohl, erschienen in Methodological Issues of Longitudinal Surveys, Hans-Peter Blossfeld et al. (eds.), Springer Verlag, (2016), doi:10.1007/978-3-658-11994-2_28
• Aßmann, C. (2015), Buchrezension: "Bayesian non- and semi-parametric methods and applications" by Peter E. Rossi, Journal of Economics, doi:10.1007/s00712-015-0434-8.
• Meeting Reports "Proceedings of the 22nd Aschauer Soiree on Growth and Health Screening", held at Altenhof, Germany, November 15th, 2014. In: Pediatric Endocrinology Reviews (PER), Volume 12, No 3, March 2015, S. 239-248
• Hermanussen, M., Aßmann, C., Groth, D. und Staub, K. (2014): Final height, target height and the community. Georgian Medical News. 5(230), 30-4.
• Adolescent growth: genes, hormones and the peer group. Proceedings of the 20th Aschauer Soiree, held at Glücksburg castle, Germany, 15th to 17th November 2013. Pediatric endocrinology reviews: PER 03/2014; 11(3):341-53, mit M. Hermanussen, T. Meitinger, J.D. Veldhuis, M.J. Low, R. Pfäffle, K. Staub, R. Panczak, D. Groth, M. Brabec, M. von Salisch, C.P.A. Loh, V. Tassenaar, C. Scheffler, R. Mumm, E. Godina, A. Lehmann, J. Tutkuviene, S. Gervickaite, A.F.M. Nierop, A. Holmgren, S. van Buuren, S. Koziel, E. Zadzińska, I. Varela-Silva, J. Vignerová, E. Salama, M. El-Shabrawi, A. Huiji, T. Satake, B. Bogin
• Möglichkeiten der Analyse von Kontexteffekten im Rahmen des Nationalen Bildungspanels. (2013) In: Becker, Rolf und Schulze, Alexander (eds.): Bildungskontexte, doi: 10.1007/978-3-531-18985-7_3, pp. 61-83, zusammen mit T. Bäumer, J. von Maurice und H.-P. Blossfeld
• A Bayesian Approach towards Modelling Growth. (2013) In: Hermanussen, Michael (ed.): "http://www.schweizerbart.de/publications/detail/isbn/9783510652785" Auxology. Studying Human Growth and Development. p. 204-205. 324 p. Schweizerbart Science Publishers, Stuttgart
• Rounding-Off and Heaping. (2013) In: Hermanussen, Michael (ed.): "http://www.schweizerbart.de/publications/detail/isbn/9783510652785" Auxology. Studying Human Growth and Development. 324 p. Schweizerbart Science Publishers, Stuttgart, zusammen mit A. Kersting und M. Hermanussen
• The Community Effect in Swiss Conscripts. (2013) In: Hermanussen, Michael (ed.):"http://www.schweizerbart.de/publications/detail/isbn/9783510652785" Auxology. Studying Human Growth and Development. p.72-73. 324 p. Schweizerbart Science Publishers, Stuttgart, mit M. Hermanussen und K. Straub
• The Community Effect on Growth. (2013) In: Hermanussen, Michael (ed.):"http://www.schweizerbart.de/publications/detail/isbn/9783510652785" Auxology. Studying Human Growth and Development. p.68-71. 324 p. Schweizerbart Science Publishers, Stuttgart, mit M. Hermanussen
• Dilemmas in Choosing and Using Growth Charts, 2012, Pediatric Endocrinology Reviews 9(2), 563-569, mit M. Hermanussen, K. Straub, und S. van Buuren
• Aßmann, C., Steinhauer, H. W., Rässler S. (2012): Aspekte der Stichprobenziehung in der erziehungswissenschaftlichen Forschung. In: S. Maschke & L. Stecher (Hrsg.): Enzyklopädie der Erziehungswissenschaft Online (EEO), Fachgebiet Methoden der empirischen erziehungswissenschaftlichen Forschung. Weinheim und Basel: Beltz Juventa, S. 1-15. doi: 10.3262/EEO07120215
• Ökonometrische Prognoseverfahren mit Paneldaten, 2012 in: Mertens, P., Räassler, S. (Hrsg.): Prognoserechnung, 7. überarbeitete Auflage, Physika, Heidelberg, doi:10.1007/978-3-7908-2797-2_9, mit S. Rässler und K. Wolf
• Diversity in auxology: between theory and practice. Proceedings of the 18th Aschauer Soiree, 13th November 2010, 2012, Journal of Biological and Clinical Anthropology 69(2), pp.159-174, doi: 10.1127/0003-5548/2012/0133, mit M. Hermanussen, E. Godina, F.J. Rühli, K. Staub, P. Blaha, J.L. Boldsen, S. van Buuren, M. MacIntyre, M. Kaczmarek, B. Bogin, E. Salama, M. El-Shabrawi, C. Meigen, C. Scheffler, Vanessa Schönfeld, H. H. Thodberg, L.S. Lieberman, S. Kirchengast, J. Tutkuviene, U. Wittwer-Backofen, T. Satake, D. Martin, A. Lehmann, J. Meier, E. Jopp
• Aßmann, C., Steinhauer, H. W., Kiesl, H., Koch, S., Schönberger, B., Müller-Kuller, A., Rohwer, G., Rässler, S. und Blossfeld, H.-P. (2011), Sampling Design of the National Educational Panel Study: Challenges and Solutions. In: H.-P. Blossfeld, H.-G. Roßbach & J. von Maurice (Eds.) Education as a Lifelong Process. The German National Educational Panel Study (NEPS) (Zeitschrift für Erziehungswissenschaft, Special Issue 14). doi: 10.1007/s11618-011-0181-8
• Aßmann, C., Hermanussen, M., Godina, E., Rühli, F.J., P. Blaha, J.L. Boldsen, van Buuren, S., MacIntyre, M., Goshi, A., de Stefano, G.F.,   Sonkin, V.D., Tresguerres, J.A.F., Meigen, C., Scheffler, C., Geiger, C., und Lieberman, L.S. (2010): Growth Variation, final height and secular trend. Proceedings of the 17th Aschauer Soiree, 7th November 2009, Journal of Comparative Human Biology 61(4), 277-284.
• Aßmann, C. (2009), Buchrezension: "Economic Modeling and Inference" by Christensen, B.J. and Kiefer, N.M., Journal of Economics 98(3), 257-259, DOI 10.1007/s00712-009-0089-4.

Gutachtertätigkeit

• Journal of the Operational Research Society
• Journal of Cardiology and Cardiovascular Sciences
• British Journal of Mathematical and Statistical Psychology
• Statistical Methods in Medical Research
• International Journal of Production Research
• Multivariate Behavioral Research
• Methods, Data, Analysis
• Austrian Journal of Statistics
• Zeitschrift für Erziehungswissenschaft
• Journal of Business & Economic Statistics
• Journal of Economic Growth
• Empirical Economics
• European Review of Agricultural Economics
• Economic Change and Restructuring
• Economics: The Open-Access, Open-Assessment E-Journal
• Journal of Biological and Clinical Anthropology
• Econometrics
• Alexander von Humboldt Stiftung

Vorträge

• März 2006, ”The decline in German output volatility: A Bayesian analysis”, DStatG Nachwuchsworkshop, Berlin Wannsee.
• Dezember 2006, ”Determinants and costs of current account reversals under heterogeneity and serial correlation”, DIW Macroeconometric Workshop, Berlin.
• August 2007, ”Determinants and costs of current account reversals under heterogeneity and serial correlation”, Econometric Society European Meeting, Budapest, Ungarn.
• September 2007, ”The decline in German output volatility: A Bayesian analysis”, DStatG Statistische Woche 2007, Kiel.
• Oktober 2007, ”Dynamic multi-sector CGE modeling and the specification of capital and a consumption-based pension system”, Jahrestagung des Vereins für Socialpolitik 2007, München.
• August 2008, ”Assessing the Costs of Currency Crises and Current Account Reversal on Economic Growth”, Econometric Society European Meeting, Mailand, Italien.
• September 2008, ”Model-based Clustering for Panel Probit Models”, DStatG Statistische Woche 2008, Köln.
• August 2009, ”Bayesian Analysis of Binary Networks via Socio-Spatial Processes: An Application to Local Elite Communication”, International Workshop on Networks as Determinants of Economic and Political Behavior 2009, Kiel.
• Dezember 2009, ”Bayesian Analysis of Binary Networks via Socio-Spatial Processes: An Application to Local Elite Communication”, 3rd International Workshop on the Analysis of Incomplete Data, Bamberg.
• Februar 2010, ”Estimating policy networks and political influence of Polish and Slovakian local elites: A Bayesian Analysis via Socio-Spatial Processes”, International Food Policy Research Institute Workshop, Washington, D.C.
• Mai 2010, ”The emergence of local elite networks: Structure or preference? – An econometric approach”, 3rd Annual Political Networks Conference, Duke University, Durham, North Carolina.
• Juli 2010, ”Data augmentation for missing values in social network models”, IV European Congress of Methodology, IQB Humboldt Universität Berlin, Potsdam.
• September 2010, ”Assessing the Costs of Currency Crises and Current Account Reversal on Economic Growth”, DStatG Statistische Woche 2010, Nürnberg.
• November 2010, ”Growth curve analysis: A Bayesian approach”, 18th Aschauer Soirée, Deutsche Gesellschaft für Auxologie, Altenhof
• Juni 2011, "Networks as determinants of voter behavior and their implication for government capture and accountability: A comparative analysis based on cross-country estimations of spatial voting models in Poland and Slovakia", 4th Annual Political Networks Conference, University of Michigan, Ann Arbor
• August 2014, "Bayesian Analysis of Dynamic Factor Models: An Ex-Post Approach towards the Rotation Problem", Joint Statistical Meeting 2014, Boston, USA.
• Juni 2018, "Bayesian Estimation for Reduced Rank Regression Models using Post - Processing", 2018 ISBA World Meeting, Edinburgh, United Kingdom.
• Januar 2020, "Bayesian analysis of confirmatory item factor models with missing values", Statistisches Forschungsseminar der Universität Köln.

Themen betreuter Abschlussarbeiten

Bachelorarbeiten

• Verfahren zur Anonymisierung von Einzeldaten in Befragungen -2018
• Untersuchung der Wahlabsicht mittels Zeitreihendaten - Prognose und Strukturbruch -2017
• Personal mobile banking, smallholder farmers and their financial behavior in rural Mozambique: An econometric analysis - 2016
• Möglichkeiten und Potentiale von Lehrveranstaltungsevaluationen - 2015
• Eignungsdiagnostische Testverfahren im Assessment Center - 2015
• Social Media Recruiting - Möglichkeiten der Effizienzanalyse - 2014
• Multiple Imputation fehlender Vermögensinformationen - 2014
• Parameterschätzung im Rahmen des CAPM - 02/2014
• Multiple Imputation zur Behandlung fehlender Werte in Regionaldaten - 2014
• Rationales, Definitions, and Economic Costs of Currency, Banking, and Debt Crises - 2013
• Multiple Imputation zur Behandlung fehlender Werte in Einkommensdaten des Nationalen Bildungspanels - 2013
• Maximum Likelihood Estimation of Probit Models: An Empirical Analysis of Product and Process Innovation - 2013

Masterarbeiten

• Approximation Methods for Bayesian Deep Neural Networks in Image Recognition - 2019
• The Nonlinearity of Crises: Machine Learning Approaches to Economic Forecasting - 2019
• Bayesian Estimation of GARCH Models - 2019
• Model based prediction of STARCRAFT II match outcomes - 2019
• Inference an model testing in the context of missing data - 2019
• Predictive Analytics im Planungsumfeld  der DATEV eG
• Statistical Analysis of Real Estate Industry in China - 2019
• Bayesian methods for non-linear and chaotic time-series analysis - 2019
• Vergleich der Volatilitätsvorhersagemethoden anhand des S&P500 Indexs - 2018
• Using Natural Language Processing and Hidden Markov Models to investigate and track problem solving in sequential data - 2018
• Die Determinanten der Auto-Mobilität in Deutschland - Eine Analyse longitudinaler Daten auf Basis von Generalisierten Linearen Modellen - 2017
• Vergleich der Volatilitätsvorhersagemethoden anhand des S&P500 Indexs - 2017
• Using Natural Language Processing and Hidden Markov Models to investigate and track problem solving in sequential data- 2017
• Die Determinanten der Auto-Mobilität in Deutschland - Eine Analyse longitudinaler Daten auf Basis von Generalisierten Linearen Modellen-2017
• Bayesian Analysis of Binary Panel Probit Models with latent Hierarchical Structures -2017
• Assessing the Output Gap für Inflation Forecasting - 2016
• Internationaler Vergleich von Arbeitszeitmodellen - 2016
• Survey-basierte Abschätzung des Marktpotenzials eines Start-Up-Unternehmens - 2016
• Die Kraftstoffpreise an deutschen Tankstellen und ihre Determinanten - Eine ökonometrische Analyse - 2016
• A Bayesian Approach towards Factor Model Analysis - 2016
• Statistical Modelling of the Body-Mass-Index - 2015
• Bayesianische Analyse dynamischer Faktormodelle; Bayesian Analysis of Dynamic Factor Models - 2015
• Parameterschätzung in Vektorautoregressiven Modellen - 2015
• Bayesian analysis of static exploratory factor models - 2015
• Bayesian Estimation of a Bivariate Stochastic Volatility Mixture Model - 2015
• Multiple Imputationen für kategoriale Variablen im Kontext von Filterführungen  - 2014
• Dynamic Panel Probit Models for Current Account Reversals - 2014
• Estimation and Application of Stochastic Volatility Models - 2014
• Statistische Analyse sozialer Netzwerke - 2014
• Bayesian Analysis of Failure Time Data using P-Splines - 2014 (Springer BestMasters 2014: Prämierung der Masterarbeit von Matthias Kaeding, M. Sc.)
• Analyse von Paneldaten mittels Bootstrap-Algorithmen - 2013
• Finite Mischverteilungen zur Fehlleistungskostenanalyse - 2012