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Articles
- Oesting, M., Schlather, M. and Zhou, C. (2018). Exact and fast simulation of max-stable processes on a compact set using the normalized spectral representation. Bernoulli : Official Journal of the Bernoulli Society for Mathematical Statistics and Probability, 24, 1497–1530.
- Fiebig, U.-R., Strokorb, K. and Schlather, M. (2017). The realization problem for tail correlation functions. Extremes : Statistical Theory and Applications in Science, Engineering and Economics, 20, 121–168.
- Ha, N.-T., Sharifi, A. R., Heise, J., Schlather, M., Schnyder, U., Gross, J. J., Schmitz-Hsu, F., Bruckmaier, R. and Simianer, H. (2017). A reaction norm sire model to study the effect of metabolic challenge in early lactation on the functional longevity of dairy cows. Journal of Dairy Science : JDS, 100, 3742–3753.
- Kolb, O., Döring, L., Klinger, M., Schlather, M. and Schmidt, M. U. (2017). Individualisierte Tutorien im Mathematikstudium. Neues Handbuch Hochschullehre, 82, 77–88.
- Oesting, M., Schlather, M. and Friederichs, P. (2017). Statistical post-processing of forecasts for extremes using bivariate Brown-Resnick processes with an application to wind gusts. Extremes : Statistical Theory and Applications in Science, Engineering and Economics, 20, 309–332.
- Schlather, M. and Moreva, O. (2017). A parametric variogram model bridging between bounded and unbounded variogram. Wiley Interdisciplinary Reviews : WIREs. Cognitive Science, 6, 47–52.
- Lang, A., Potthoff, J., Schlather, M. and Schwab, D. (2016). Continuity of random fields on Riemannian manifolds. Communications on Stochastic Analysis, 10, 185–193.
- Malinowski, A., Schlather, M. and Zhang, Z. (2016). Intrinsically weighted means and non-ergodic marked point processes. The Annals of Statistics, 68, 1–24.
- Martini, J. W. R., Schlather, M. and Schütz, S. (2016). A model for carrier-mediated biological signal transduction based on equilibrium ligand binding theory. Bulletin of Mathematical Biology, 78, 1039–1057.
- Berger, S., Schlather, M., Campos, G. . ., Weigend, S., Preisinger, R., Erbe, M. and Simianer, H. (2015). A scale-corrected comparison of linkage disequilibrium levels between genic and non-genic regions. PLOS ONE, 10, 1–19.
- Ehlert, A., Fiebig, U.-R., Janßen, A. and Schlather, M. (2015). Joint extremal behavior of hidden and observable time series with applications to GARCH processes. Extremes : Statistical Theory and Applications in Science, Engineering and Economics, 18, 109–140.
- Engelke, S., Kabluchko, Z. and Schlather, M. (2015). Maxima of independent non-identically distributed Gaussian vectors. Bernoulli : Official Journal of the Bernoulli Society for Mathematical Statistics and Probability, 21, 38–61.
- Engelke, S., Malinowski, A., Kabluchko, Z. and Schlather, M. (2015). Estimation of Hüsler-Reiss distributions and Brown-Resnick processes. Journal of the Royal Statistical Society. Series B, Statistical Methodolgy, 77, 239–265.
- Ha, N.-T., Gross, J. J., von Dorland, A., Tetens, J., Thaller, G., Schlather, M., Bruckmaier, R. and Simianer, H. (2015). Gene-based mapping and pathway analysis of 2 metabolic traits in dairy cows. PLOS ONE, 10, 1–15.
- Malinowski, A., Schlather, M. and Zhang, Z. (2015). Marked point process adjusted tail dependence analysis for high-frequency financial data. Statistics and its interface, 8, 109–122.
- Ober, U., Huang, W., Magwire, M., Schlather, M., Simianer, H. and Mackay, T. F. C. (2015). Accounting for genetic architecture improves sequence based genomic prediciton for a Drosophila fitness trait. PLOS ONE, 10, 1–17.
- Schlather, M., Malinowski, A., Menck, P. J., Oesting, M. and Strokorb, K. (2015). Analysis, simulation and prediction of multivariate random fields with package randomfields. Journal of Statistical Software, 63, 1–25.
- Strokorb, K., Ballani, F. and Schlather, M. (2015). Tail correlation functions of max-stable processes: Construction principles, recovery and diversity of some mixing max-stable processes with identical TCF. Extremes : Statistical Theory and Applications in Science, Engineering and Economics, 18, 241–271.
- Strokorb, K. and Schlather, M. (2015). An exceptional max-stable process fully parameterized by its extremal coefficients. Bernoulli : Official Journal of the Bernoulli Society for Mathematical Statistics and Probability, 21, 276–302.
- Engelke, S., Malinowski, A., Oesting, M. and Schlather, M. (2014). Statistical inference for max-stable processes by conditioning on extreme events. Advances in Applied Probability, 46, 478–495.
- Freytag, S., Manitz, J., Schlather, M., Kneib, T., Amos, C. I., Risch, A., Chang-Claude, J., Heinrich, J. and Bickeböller, H. (2014). A network-based kernel machine test for identification of risk pathways in genome-wide association studies. Human Heredity, 76, 64–75.
- Manitz, J., Kneib, T., Schlather, M., Helbing, D. and Brockmann, D. (2014). Origin detecion durin food-borne disease outbreaks – a case study of the 2011 EHEC/
HUS outbreak in Germany. PLoS Currents, 6, 1–31. - Martini, J. W. R., Habeck, M. and Schlather, M. (2014). A derivation of the grand canonical partition function for systems with a finite number of binding sites using a Markov-chain model for the dynamics of single molecules. Journal of Mathematical Chemistry, 52, 665–674.
- Oesting, M. and Schlather, M. (2014). Conditional Sampling for max-stable processes with a mixed moving maxima representation. Extremes : Statistical Theory and Applications in Science, Engineering and Economics, 17, 157–192.
- Martini, J. W. R., Schlather, M. and Ullmann, G. M. (2013). On the interaction of different types of ligands binding to the same molecule Part I: the transfer of the decoupled sites representation. Journal of Mathematical Chemistry, 51, 672–695.
- Martini, J. W. R., Schlather, M. and Ullmann, G. M. (2013). On the interaction of different types of ligands binding to the same molecule Part II: Systems with n to 2 and n to 3 binding sites. Journal of Mathematical Chemistry, 51, 696–714.
- Martini, J. W. R., Ullmann, G. M. and Schlather, M. (2013). The meaning of the decoupled sites representation in terms of statistical mechanics and stochastics. Match : communications in mathematical and in computer chemistry, 70, 829–850.
- Scheuerer, M., Schaback, R. and Schlather, M. (2013). Interpolation of spatial data – a stochastic or a deterministic problem? European Journal of Applied Mathematics, 24, 601–629.
- Ballani, F., Kabluchko, Z. and Schlather, M. (2012). Random Marked Sets. Advances in Applied Probability, 44, 603–616.
- Freytag, S., Bickeböller, H., Amos, C. I., Kneib, T. and Schlather, M. (2012). A Novel Kernel for Correcting Size Bias in the Logistic Kernel Machine Test with an Application to Rheumatoid Arthritis. Human Heredity, 74, 97–108.
- Ober, U., Ayroles, J. F., Stone, E. A., Richards, S., Zhu, D., Gibbs, R. A., Stricker, C., Gianola, D., Schlather, M., Mackay, T. F. C. and Simianer, H. (2012). Using Whole-Genome Sequence Data to Predict Quantitative Trait Phenotypes in Drosophila melanogaster. PLoS Genetics, 8, 1–14.
- Oesting, M., Kabluchko, Z. and Schlather, M. (2012). Simulation of Brown-Resnick Processes. Extremes : Statistical Theory and Applications in Science, Engineering and Economics, 15, 89–107.
- Scheuerer, M. and Schlather, M. (2012). Covariance Models for Divergence-Free and Curl-Free Random Vector Fields. Stochastic Models, 28, 433–451.
- Porcu, E., Montero, J. M. and Schlather, M. (eds.) (2012). Advances and challenges in space-time modelling of natural events. Berlin [u.a.]: Springer.
- Schlather, M. (2012). Construction of covariance functions and unconditional simulation of random fields. In Advances and Challenges in Space-time Modelling of Natural Events (S. 25–54). Berlin [u.a.]: Springer.
- Gneiting, T. and Schlather, M. (2012). Space-time covariance models. In , Encyclopedia of Environmetrics (S. ). Chichester: Wiley & Sons.
- Ober, U., Malinowski, A., Schlather, M. and Simianer, H. (2013). The expected linkage disequilibrium in finite populations revisited.
- Strokorb, K. and Schlather, M. (2012). Characterizing extremal coefficient functions and extremal correlation functions.