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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 methodology, 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.
Ballani, F. and 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. and 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. and Simianer, H. (2011). Predicting genetic values : a kernel-based best linear unbiased prediction with genomic data. Genetics, 188, 695-708.
Fasen, V., Klüppelberg, C. and Schlather, M. (2010). High-level dependence in time series models. Extremes : Statistical Theory and Applications in Science, Engineering and Economics, 13, 1-33.
Gneiting, T., Kleiber, W. and Schlather, M. (2010). Matérn cross-covariance functions for multivariate random fields. Journal of the American Statistical Association : JASA, 105, 1167-1177.
Kabluchko, Z. and Schlather, M. (2010). Ergodic properties of max-infinitely divisible processes. Stochastic Processes and their Applications, 120, 281-295.
Schlather, M. (2010). Some covariance models based on normal scale mixtures. Bernoulli : Official Journal of the Bernoulli Society for Mathematical Statistics and Probability, 16, 780-797.
Kabluchko, Z., Schlather, M. and de Haan, L. (2009). Stationary max-stable fields associated to negative definite functions. Annals of Probability, 37, 2042-2065.

Brummer, B., von Cramon-Taubadel, S., Nivievskyi, O. and Schlather, M. (2010). Agglomeration Economies in Ukrainian Dairy Sector: a Marked Point Process Approach. In , Proceedings of the 116th Symposium of the European Association of Agricultural Economists = Actes du 116. Séminaire de l'Association Européenne des Economistes Agricoles (S. 1-11). , Wissenschaftsverl. Vauk: Kiel.
Ober, U., Erbe, M., Schlather, M. and Simianer, H. (2010). Kernel-based blup with genomic data. In Erhardt, G., 9th World Congress on Genetics Applied to Livestock Production : proceedings; Leipzig, Germany; August 1-6,2010 (S. 1-4). , Ges. für Tierzuchtwiss.: Leipzig.

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 Porcu, E. 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 El-Shaarawi, A., 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.

Engelke, S. and Schlather, M. (2011). Rezension zu: Qian, Song S.: Environmental and Ecological Statistics with R. Boca Raton, Fla., 2010. Review, Biometrical Journal
Malinowski, A. and Schlather, M. (2011). Rezension zu: Gentleman, Robert: R Programming for Bioinformatics. Boca Raton, Fla., 2009. Review, Biometrical Journal
Schlather, M. (2009). Rezension zu: Bolker, Benjamin M.: Ecological Models and Data in R. Princeton, NJ, 2008. Review, Biometrical Journal