phone:	+49 (0)621 181 2553
email:	schlather@math.uni-mannheim.de
office hours:	n.V.
address:	Institut für Mathematik
	Universität Mannheim
	A5, 6
	68131 Mannheim

Research Interests
Acitivites und projects
Publications
Software (R packages)
Ongoing courses
Curriculum vitae

Research Interests

Applications in natural sciences and economic sciences
Extreme value theory
Geostatistics
Stochastic geometry

Activities und projects

• DFG Research Training Group 1644 `Scaling Problems in Statistics'
  
• Centre for Statistics
  
• DFG-RTG 1023 `Identification in Mathematical Models'
  
• Courant Research Centre `Poverty, Equity and Growth in Developing Countries: Statistical Methods and Empirical Analyses'
  
• Mesoscale Weather Extremes: Theory, Spatial Modeling and Prediction (Volkswagen-Stiftung), together with Bonn and Heidelberg
  

Publications

For submitted and published articles in journals and proceedings, see here.

Software (R packages)

RandomFields	R extension package on Simulation and Analysis of Random Fields. Download
SoPhy	(formerly SoilPhysics) R extension package on the simulation and analysis of water flow. Download
MarkedPointProcess	R extension package on the analysis of the marks of marked point processes. Download

Technical reports

1. A. Ehlert and M. Schlather (2010) Some Results for Extreme Value Processes in Analogy to the Gaussian Spectral Representation Technical report 30, CRC Poverty, Univ. Göttingen.
2. A. Ehlert and M. Schlather (2010) A Constructive Proof for the Extremal Coefficient of a Dissipative Max-Stable Process on Z being a Set Covariance Technical report 31, CRC Poverty, Univ. Göttingen.
3. M. Schlather, P.J. Ribeiro and P.J. Diggle (2002) Detecting dependence between marks and locations of marked point processes Technical report ST-02-15, Lancaster University.
4. T. Gneiting and M. Schlather (2001) Stochastic models which separate fractal dimension and Hurst effect. Technical report 69, NRCSE, Unversity of Washington.
5. M. Schlather and J. Tawn (2000) Properties of extremal coefficients. Technical report ST 00-01, Lancaster University.
6. M. Schlather (1999) Introduction to positive definite functions and to unconditional simulation of random fields. Technical report ST 99-10, Lancaster University. [Gzipped postscript 5MB] [Erratum] [RandomFields]

Curriculum vitae

1968	Year of birth
9/90	Vordiplom in Mathematics at Universität Stuttgart, Germany
11/92	Vordiplom in Geoecology at Universität Bayreuth, Germany
3/94	Diplom in Mathematics at Universität Bayreuth
4/94-9/94	Assistant at Mathematisches Institut, Universität Bayreuth
6/95	D.E.A. in Geostatistics at the Ecole des Mines de Paris, Fontainebleau, France, funded by DAAD
10/97	PhD at the Graduierten Kolleg Räumliche Statistik, Technische Universität Bergakademie Freiberg, Freiberg (Sachs), Germany
10/97-12/97	Guest at the Seminar für Statistik of the Eidgenössische Technische Hochschule Zürich, Switzerland
2/98-7/99	Research Associate at the Department of Mathematics and Statistics, Lancaster University, UK, funded by the EU TMR network on Spatial and Computational Statistics
8/99-7/03	Research Associate at Abteilung Bodenphysik, BITÖK, Universität Bayreuth, Germany
12/02	Habilitation at the Fakultät für Mathematik und Informatik, of the Technische Universität Bergakademie Freiberg, Freiberg (Sachs), Germany
10/03-12/04	Assistant professeur at the Faculté des Sciences, de la Technologie et de la Communication, Université du Luxembourg, Luxemburg
12/04-9/06	Associate Professor at the Institut für Statistik und Quantitative Ökonomik of the Fachbereich Wirtschafts- und Organisationswissenschaften, Helmut-Schmidt-Universität, Hamburg, Germany
10/06-01/12	Full Professor at the Institut für Mathematische Stochastik of the Faculty of Mathematics and Informatics, Universtität Göttingen, Göttingen, Germany
01/07-9/11	Speaker of the Centre for Statistics at the Universtität Göttingen.
02/12-	Full Professor at the Institut für Mathematik at the School of Business Informatics and Mathematics , Universtität Mannheim, Mannheim, Germany

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http://www.stochastik.math.uni-goettingen.de/~schlather/