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- Subjects (53)
- 300 Social sciences (53)
**310 General statistics**(53)

- 300 Social sciences (53)

Group by: Creators | 1. Referee

Number of items at this level: **53**.

Ahmed, Naeem (2015): Modeling the dynamics of large conditional heteroskedastic covariance matrices. Dissertation, LMU München: Faculty of Mathematics, Computer Science and Statistics

Ali, Mehboob (2021): Advanced survey designs for planned missing data. Dissertation, LMU München: Faculty of Mathematics, Computer Science and Statistics

Bauer, Verena (2019): New approaches in network data analysis. Dissertation, LMU München: Faculty of Mathematics, Computer Science and Statistics

Baurecht, Hansjörg (2017): Compare and Contrast Meta Analysis (CCMA): an application for genomewide association studies. Dissertation, LMU München: Faculty of Mathematics, Computer Science and Statistics

Bayerstadler, Andreas (2017): Application of modern statistical methods in worldwide health insurance. Dissertation, LMU München: Faculty of Mathematics, Computer Science and Statistics

Bender, Andreas (2018): Flexible modeling of time-to-event data and exposure-lag-response associations. Dissertation, LMU München: Faculty of Mathematics, Computer Science and Statistics

Bonfert, Thomas (2016): Context-based RNA-seq mapping. Dissertation, LMU München: Faculty of Mathematics, Computer Science and Statistics

Bothmann, Ludwig (2016): Efficient statistical analysis of video and image data. Dissertation, LMU München: Faculty of Mathematics, Computer Science and Statistics

Cederbaum, Jona (2017): Functional linear mixed models for complex correlation structures and general sampling grids. Dissertation, LMU München: Faculty of Mathematics, Computer Science and Statistics

Ellinger, Christian (2013): Gezielte MHC-Klasse-II-Kreuzpräsentation für die Generierung und Isolierung Tumor/Testis-Antigen-spezifischer CD4+ T-Lymphozyten. Dissertation, LMU München: Faculty of Mathematics, Computer Science and Statistics

Endres, Eva-Marie (2019): Statistical matching meets probabilistic graphical models: contributions to categorical data fusion. Dissertation, LMU München: Faculty of Mathematics, Computer Science and Statistics

Felderer, Barbara Ingrid Maria (2015): Assessing survey data quality making use of administrative data. Dissertation, LMU München: Faculty of Mathematics, Computer Science and Statistics

Fink, Paul (2018): Contributions to reasoning on imprecise data: imprecise classification trees, generalized linear regression on microaggregated data and imprecise imputation. Dissertation, LMU München: Faculty of Mathematics, Computer Science and Statistics

Fuest, Andreas (2015): Econometric modeling of ultra-high frequency volatility-liquidity interactions. Dissertation, LMU München: Faculty of Mathematics, Computer Science and Statistics

Geistlinger, Ludwig (2016): Network-based analysis of gene expression data. Dissertation, LMU München: Faculty of Mathematics, Computer Science and Statistics

Glushko, Nadine Juliana (2018): Die Identifizierung von Missspezifikationen im Strukturmodell von Strukturgleichungsmodellen mit klassischen und neueren Modellfitmaßen. Dissertation, LMU München: Faculty of Psychology and Educational Sciences

Groll, Christian (2018): Dynamic risk management of multi-asset portfolios. Dissertation, LMU München: Faculty of Mathematics, Computer Science and Statistics

Happ, Clara Maria (2017): Statistical methods for data with different dimensions: multivariate functional PCA and scalar-on-image regression. Dissertation, LMU München: Faculty of Mathematics, Computer Science and Statistics

Hornung, Roman (2016): Preparation of high-dimensional biomedical data with a focus on prediction and error estimation. Dissertation, LMU München: Faculty of Mathematics, Computer Science and Statistics

Jansen, Christoph (2018): Some contributions to decision making in complex information settings with imprecise probabilities and incomplete preferences: theoretical and algorithmic results. Dissertation, LMU München: Faculty of Mathematics, Computer Science and Statistics

Kaltenthaler, Daniel (2018): Supporting the workflow of archaeo-related sciences by providing storage, sharing, analysis, and retrieval methods. Dissertation, LMU München: Faculty of Mathematics, Computer Science and Statistics

Khan, Muhammad Yousaf (2015): Advances in applied nonlinear time series modeling. Dissertation, LMU München: Faculty of Mathematics, Computer Science and Statistics

Klau, Simon (2020): Addressing the challenges of uncertainty in regression models for high dimensional and heterogeneous data from observational studies. Dissertation, LMU München: Faculty of Mathematics, Computer Science and Statistics

Klima, André (2016): Ökologische Inferenz und hybride Modelle: Schätzung der Wählerwanderung in Mehrparteiensystemen. Dissertation, LMU München: Faculty of Mathematics, Computer Science and Statistics

Kroiß, Christian (2016): Simulation and statistical model-checking of logic-based multi-agent system models. Dissertation, LMU München: Faculty of Mathematics, Computer Science and Statistics

Krompaß, Denis (2015): Exploiting prior knowledge and latent variable representations for the statistical modeling and probabilistic querying of large knowledge graphs. Dissertation, LMU München: Faculty of Mathematics, Computer Science and Statistics

Kurz, Malte Simon (2018): Dependence modeling with applications in financial econometrics. Dissertation, LMU München: Faculty of Mathematics, Computer Science and Statistics

Köhler, Meike (2017): Flexible Bayesian joint models for longitudinal biomarkers and time-to-event outcomes with applications to type 1 diabetes research. Dissertation, LMU München: Faculty of Mathematics, Computer Science and Statistics

Lebacher, Michael (2019): New approaches in statistical network data analysis. Dissertation, LMU München: Faculty of Mathematics, Computer Science and Statistics

Lohrer, Johannes-Y. (2018): An e-science infrastructure for collecting, sharing, retrieving, and analyzing heterogeneous scientific data. Dissertation, LMU München: Faculty of Mathematics, Computer Science and Statistics

Matthies, Alexander (2018): Modelling risk in financial economics. Dissertation, LMU München: Faculty of Mathematics, Computer Science and Statistics

Matzke, Kilian (2020): On phase transitions in random spatial systems. Dissertation, LMU München: Faculty of Mathematics, Computer Science and Statistics

Möst, Lisa (2015): Conditional transformation models: interpretable parametrisations and censoring. Dissertation, LMU München: Faculty of Mathematics, Computer Science and Statistics

Petri, Tobias Hartmut (2017): Expression data dnalysis and regulatory network inference by means of correlation patterns. Dissertation, LMU München: Faculty of Mathematics, Computer Science and Statistics

Plaß, Julia (2018): Statistical modelling of categorical data under ontic and epistemic imprecision: contributions to power set based analyses, cautious likelihood inference and (non-)testability of coarsening mechanisms. Dissertation, LMU München: Faculty of Mathematics, Computer Science and Statistics

Port, Henry Alvorado (2020): Advances in interest rate & risk modeling. Dissertation, LMU München: Faculty of Mathematics, Computer Science and Statistics

Probst, Philipp (2019): Hyperparameters, tuning and meta-learning for random forest and other machine learning algorithms. Dissertation, LMU München: Faculty of Mathematics, Computer Science and Statistics

Racheva-Iotova, Borjana (2010): An Integrated System for Market Risk, Credit Risk and Portfolio Optimization Based on Heavy-Tailed Medols and Downside Risk Measures. Dissertation, LMU München: Faculty of Mathematics, Computer Science and Statistics

Ritter, Andreas (2017): Entwicklung eines hybriden Stresstests für Wertpapierportfolios. Dissertation, LMU München: Faculty of Mathematics, Computer Science and Statistics

Rose, Doro (2015): Modeling and estimating multivariate dependence structures with the Bernstein copula. Dissertation, LMU München: Faculty of Mathematics, Computer Science and Statistics

Rügamer, David (2018): Estimation, model choice and subsequent inference: methods for additive and functional regression models. Dissertation, LMU München: Faculty of Mathematics, Computer Science and Statistics

Salmon, Maëlle (2016): Advances in count time series monitoring for public health surveillance. Dissertation, LMU München: Faculty of Mathematics, Computer Science and Statistics

Schneider, Micha (2019): Finite mixtures for the modelling of heterogeneity in ordinal response. Dissertation, LMU München: Faculty of Mathematics, Computer Science and Statistics

Schollmeyer, Georg (2017): Reliable statistical modeling of weakly structured information: contributions to partial identification, stochastic partial ordering and imprecise probabilities. Dissertation, LMU München: Faculty of Mathematics, Computer Science and Statistics

Schreiber, Irene (2012): Risk-minimization for life insurance liabilities. Dissertation, LMU München: Faculty of Mathematics, Computer Science and Statistics

Schulze Waltrup, Linda (2015): Extensions of semiparametric expectile regression. Dissertation, LMU München: Faculty of Mathematics, Computer Science and Statistics

Shao, Shuai (2019): Applications of statistical methods in airline ancillary pricing and revenue management. Dissertation, LMU München: Faculty of Mathematics, Computer Science and Statistics

Spanhel, Fabian (2015): A copula-based approach to model serial dependence in financial time series. Dissertation, LMU München: Faculty of Mathematics, Computer Science and Statistics

Speidel, Matthias (2018): Imputation for hierarchical datasets and responses in intervals. Dissertation, LMU München: Faculty of Mathematics, Computer Science and Statistics

Sprincenatu, Maria (2019): Modeling and forecasting the co-movement of international yield curve drivers. Dissertation, LMU München: Faculty of Mathematics, Computer Science and Statistics

Stachl, Clemens (2017): Differential human factors in user data. Dissertation, LMU München: Faculty of Psychology and Educational Sciences

Thomas, Janek (2019): Gradient boosting in automatic machine learning: feature selection and hyperparameter optimization. Dissertation, LMU München: Faculty of Mathematics, Computer Science and Statistics

Ye, Wei (2018): Data mining using concepts of independence, unimodality and homophily. Dissertation, LMU München: Faculty of Mathematics, Computer Science and Statistics