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Oesting, M., Schlather, M. und 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. und 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. und 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. und Schmidt, M. U. (2017). Individualisierte Tutorien im Mathematikstudium. Neues Handbuch Hochschullehre, 82, 77-88.
Oesting, M., Schlather, M. und 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. und 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. und Schwab, D. (2016). Continuity of random fields on Riemannian manifolds. Communications on Stochastic Analysis, 10, 185-193.
Malinowski, A., Schlather, M. und 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. und 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. und 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. und 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. und 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. und Schlather, M. (2015). Estimation of Hüsler-Reiss distributions and Brown-Resnick processes. Journal of the Royal Statistical Society / Series B, Statistical methodology, 77, 239-265.
Ha, N.-T., Gross, J. J., von Dorland, A., Tetens, J., Thaller, G., Schlather, M., Bruckmaier, R. und 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. und 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. und 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. und 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. und 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. und 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. und 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. und 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. und 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. und 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. und 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. und 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. und 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. und 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. und 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. und Schlather, M. (2012). Random Marked Sets. Advances in Applied Probability, 44, 603-616.
Freytag, S., Bickeböller, H., Amos, C. I., Kneib, T. und 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. und 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. und Schlather, M. (2012). Simulation of Brown-Resnick Processes. Extremes : Statistical Theory and Applications in Science, Engineering and Economics, 15, 89-107.
Scheuerer, M. und Schlather, M. (2012). Covariance Models for Divergence-Free and Curl-Free Random Vector Fields. Stochastic Models, 28, 433-451.
Ballani, F. und Schlather, M. (2011). A construction principle for multivariate extreme value distributions. Biometrika : A Journal for the Statistical Study of Biological Problems, 98, 633-645.
Engelke, S., Kabluchko, Z. und Schlather, M. (2011). An equivalent representation of the Brown-Resnick process. Statistics & Probability Letters, 81, 1150-1154.
Ober, U., Erbe, M., Long, N., Porcu, E., Schlather, M. und Simianer, H. (2011). Predicting genetic values : a kernel-based best linear unbiased prediction with genomic data. Genetics, 188, 695-708.

Porcu, E., Montero, J. M. und 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. und Schlather, M. (2012). Space-time covariance models. In , Encyclopedia of Environmetrics (S. ). Chichester: Wiley & Sons.

Ober, U., Malinowski, A., Schlather, M. und Simianer, H. (2013). The expected linkage disequilibrium in finite populations revisited.
Strokorb, K. und Schlather, M. (2012). Characterizing extremal coefficient functions and extremal correlation functions.

Engelke, S. und Schlather, M. (2011). Rezension zu: Qian, Song S.: Environmental and Ecological Statistics with R. Boca Raton, Fla., 2010. Review, Biometrical Journal
Malinowski, A. und Schlather, M. (2011). Rezension zu: Gentleman, Robert: R Programming for Bioinformatics. Boca Raton, Fla., 2009. Review, Biometrical Journal