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Mathematics, Computer Science and Statistics

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Number of items at this level: 40.

English

Berger-Tal, Reut; Berner-Aharon, Na'ama; Aharon, Shlomi; Tuni, Cristina; Lubin, Yael (2016): Good reasons to leave home: proximate dispersal cues in a social spider. In: Journal of Animal Ecology, Vol. 85, No. 4: pp. 1035-1042

Brockhaus, Sarah; Melcher, Michael; Leisch, Friedrich; Greven, Sonja (2017): Boosting Flexible Functional Regression Models with a High Number of Functional Historical Effects. In: Statistics and Computing, Vol. 27, No. 4: pp. 913-926

Draisma, Harmen H. M.; Pool, Rene; Kobl, Michael; Jansen, Rick; Petersen, Ann-Kristin; Vaarhorst, Anika A. M.; Yet, Idil; Haller, Toomas; Demirkan, Ayse; Esko, Tonu; Zhu, Gu; Boehringer, Stefan; Beekman, Marian; Klinken, Jan Bert van; Roemisch-Margl, Werner; Prehn, Cornelia; Adamski, Jerzy; Craen, Anton J. M. de; Leeuwen, Elisabeth M. van; Amin, Najaf; Dharuri, Harish; Westra, Harm-Jan; Franke, Lude; Geus, Eco J. C. de; Hottenga, Jouke Jan; Willemsen, Gonneke; Henders, Anjali K.; Montgomery, Grant W.; Nyholt, Dale R.; Whitfield, John B.; Penninx, Brenda W.; Spector, Tim D.; Metspalu, Andres; Slagboom, P. Eline; Dijk, Ko Willems van; Hoen, Peter A. C. 't; Strauch, Konstantin; Martin, Nicholas G.; Ommen, Gert-Jan B. van; Illig, Thomas; Bell, Jordana T.; Mangino, Massimo; Suhre, Karsten; McCarthy, Mark I.; Gieger, Christian; Isaacs, Aaron; Duijn, Cornelia M. van; Boomsma, Dorret I. (2015): Genome-wide association study identifies novel genetic variants contributing to variation in blood metabolite levels. In: Nature Communications, Vol. 6, 7208 [PDF, 1MB]

Drießlein, David; Küchenhoff, Helmut ORCID: 0000-0002-6372-2487; Tutz, Gerhard; Wippert, Pia Maria (31. August 2017): Variable selection and inference in a follow-up study on back pain. Department of Statistics: Technical Reports, No.206 [PDF, 519kB]

Döring, Dorothea; Haberland, Barbara E.; Bauer, Alexander; Dobenecker, Britta; Hack, Rüdiger; Schmidt, Joerg; Erhard, Michael H. (2016): Behavioral observations in dogs in 4 research facilities: Do they use their enrichment? In: Journal of Veterinary Behavior-Clinical Applications and Research, Vol. 13: pp. 55-62

Fahrmeir, Ludwig; Gössl, C. (2002): Semiparametric Bayesian models for human brain mapping. In: Statistical Modelling, Vol. 2, No. 3: pp. 235-249 [PDF, 441kB]

Greven, Sonja; Scheipl, Fabian (2016): Comment. "Smoothing parameter and model selection for general smooth models". In: Journal of the American Statistical Association, Vol. 111, No. 516: pp. 1568-1573

Günther, Felix (2014): Subjective Well-Being over the Life Span: Modeling Age-, Period-, and Cohort-Effects in the Additive Mixed Model Framework. Bachelor, Ludwig-Maximilians-Universität München
[PDF, 774kB]

Hapfelmeier, Alexander; Ulm, Kurt (15. January 2013): Variable selection with Random Forests for missing data. Department of Statistics: Technical Reports, No.137 [PDF, 563kB]

Heinzl, Felix; Tutz, Gerhard (12. June 2012): Clustering in linear mixed models with a group fused lasso penalty. Department of Statistics: Technical Reports, No.123 [PDF, 606kB]

Hess, Wolfgang; Tutz, Gerhard; Gertheiss, Jan (23. February 2014): A Flexible Link Function for Discrete-Time Duration Models. Department of Statistics: Technical Reports, No.155 [PDF, 626kB]

Hofner, Benjamin; Hothorn, Torsten; Kneib, Thomas; Schmid, Matthias (10. December 2009): A Framework for Unbiased Model Selection Based on Boosting. Department of Statistics: Technical Reports, No.72 [PDF, 914kB]

Janitza, Silke (10. April 2017): On the overestimation of random forest’s out-of-bag error. Department of Statistics: Technical Reports, No.204 [PDF, 641kB]

Kalus, Stefanie; Sämann, Philipp; Czisch, Michael; Fahrmeir, Ludwig (26. June 2013): fMRI activation detection with EEG priors. Department of Statistics: Technical Reports, No.146 [PDF, 1MB]

Kogan, Daniel; Grabner, Alexander; Yanucil, Christopher; Faul, Christian; Ulaganathan, Vijay Kumar (2018): STAT3-enhancing germline mutations contribute to tumor-extrinsic immune evasion. In: Journal of Clinical Investigation, Vol. 128, No. 5: pp. 1867-1872

Laubender, Rüdiger P.; Mansmann, Ulrich (24. December 2014): Estimating individual treatment effects from responses and a predictive biomarker in a parallel group RCT. Department of Statistics: Technical Reports, No.176 [PDF, 2MB]

Le, Minh-Anh (2018): Anomaly Detection using Machine Learning Methods Implementation and Benchmark Analysis of Selected Methods and Tuning Criteria. Master Thesis, Faculty of Mathematics, Computer Science and Statistics, Ludwig-Maximilians-Universität München. [PDF, 8MB]

Lee, Hye-Won; Louton, Helen; Schwarzer, Angela; Rauch, Elke; Probst, Amrei; Shao, Shuai; Schmidt, Paul; Erhard, Michael H.; Bergmann, Shana (2016): Effects of multiple daily litter applications on the dust bathing behaviour of laying hens kept in an enriched cage system. In: Applied Animal Behaviour Science, Vol. 178: pp. 51-59

Maier, Thomas; Siedentop, Heinz (9. July 2012): Stability of impurities with Coulomb potential in graphene with homogeneous magnetic field. In: Journal of Mathematical Physics, Vol. 53, 095207 [PDF, 423kB]

Möst, Stephanie; Pößnecker, Wolfgang; Tutz, Gerhard (28. May 2014): Variable Selection for Discrete Competing Risks Models. Department of Statistics: Technical Reports, No.161 [PDF, 729kB]

Pößnecker, Wolfgang; Tutz, Gerhard (18. January 2016): A General Framework for the Selection of Effect Type in Ordinal Regression. Department of Statistics: Technical Reports, No.186 [PDF, 625kB]

Reisert, Pascal (31. March 2011): Tame Harmonic Bundles on Punctured Riemann Surfaces. Master Thesis, Faculty of Physics, Ludwig-Maximilians-Universität München. [PDF, 15MB]

Rospleszcz, Susanne; Janitza, Silke; Boulesteix, Anne-Laure (7. August 2014): Categorical variables with many categories are preferentially selected in model selection procedures for multivariable regression models on bootstrap samples. Department of Statistics: Technical Reports, No.164 [PDF, 604kB]

Scharl, Theresa; Grün, Bettina; Leisch, Friedrich (2009): Mixtures of Regression Models for Time-Course Gene Expression Data: Evaluation of Initialization and Random Effects. Department of Statistics: Technical Reports, No.71 [PDF, 735kB]

Scharl, Theresa; Voglhuber, Ingo; Leisch, Friedrich (2009): Exploratory and Inferential Analysis of Gene Cluster Neighborhood Graphs. Department of Statistics: Technical Reports, No.70 [PDF, 1MB]

Schauberger, Gunther; Groll, Andreas; Tutz, Gerhard (2017): Analysis of the importance of on-field covariates in the German Bundesliga. In: Journal of Applied Statistics: pp. 1-18

Schauberger, Gunther; Tutz, Gerhard (2017): Subject-specific modelling of paired comparison data: A lasso-type penalty approach. In: Statistical Modelling, Vol. 17, No. 3: pp. 223-243

Scheipl, Fabian; Greven, Sonja (11. June 2015): Identifiability in penalized function-on-function regression models. Department of Statistics: Technical Reports, No.125 [PDF, 825kB]

Schneeweiß, Hans (30. June 2014): The linear GMM model with singular covariance matrix due to the elimination of a nuisance parameter. Department of Statistics: Technical Reports, No.165 [PDF, 307kB]

Schollmeyer, Georg; Jansen, Christoph; Augustin, Thomas (31. August 2017): A simple descriptive method for multidimensional item response theory based on stochastic dominance. Department of Statistics: Technical Reports, No.210 [PDF, 1MB]

Schollmeyer, Georg; Jansen, Christoph; Augustin, Thomas (31. August 2017): Detecting stochastic dominance for poset-valued random variables as an example of linear programming on closure systems. Department of Statistics: Technical Reports, No.209 [PDF, 2MB]

Steffen, Andreas; Apostolakis, Joannis (2007): On the ease of predicting the thermodynamic properties of beta-cyclodextrin inclusion complexes. In: Chemistry Central Journal 1:29 [PDF, 309kB]

Tutz, Gerhard; Petry, Sebastian (21. May 2013): Generalized Additive Models with Unknown Link Function Including Variable Selection. Department of Statistics: Technical Reports, No.145 [PDF, 2MB]

Tutz, Gerhard; Pößnecker, Wolfgang; Uhlmann, Lorenz (21. June 2012): Variable Selection in General Multinomial Logit Models. Department of Statistics: Technical Reports, No.126 [PDF, 567kB]

Tutz, Gerhard; Ramzan, Shahla (13. October 2014): Improved Methods for the Imputation of Missing Data by Nearest Neighbor Methods. Department of Statistics: Technical Reports, No.172 [PDF, 672kB]

Unkel, Steffen; Gower, John C.; Trendafilov, Nickolay T. (10. May 2013): On the Procrustean analogue of individual differences scaling (INDSCAL). Department of Statistics: Technical Reports, No.144 [PDF, 933kB]

Walter, Gero (4. October 2012): A Technical Note on the Dirichlet-Multinomial Model. The Dirichlet Distribution as the Canonically Constructed Conjugate Prior. Department of Statistics: Technical Reports, No.131 [PDF, 432kB]

German

Hommel, Wolfgang (2012): Integriertes Management von Security-Frameworks. Professorial Dissertation, Ludwig-Maximilians-Universität München
[PDF, 11MB]

Koncsik, Imre (2013): Klärung des Informationsbegriffs. Ein interdisziplinärer Versuch. In: Grenzgebiete der Wissenschaft, Vol. 62, No. 1: pp. 29-62 [PDF, 1MB]

Meyer, Robert (31. December 2009): Analyse und Erweiterung von Vorlesungsaufzeichnungen der UnterrichtsMitschau aus der Perspektive der gemäßigt konstruktivistischen Lerntheorie. Diploma Thesis, Faculty of Mathematics, Computer Science and Statistics, Ludwig-Maximilians-Universität München. [PDF, 4MB]

This list was generated on Tue Sep 17 02:32:37 2019 CEST.