PhotoMark M. Meerschaert

Department of Statistics and Probability              Phone:  (517) 353-8881
C430 Wells Hall                                                 FAX:    (517) 432-1405
619 Red Cedar Road                                          Email:   mcubed@stt.msu.edu
Michigan State University                                  Web:      http://www.stt.msu.edu/~mcubed/
East Lansing MI 48823                                     
Until 1 August 2015, on leave in the Department of Mathematics at the University of Washington

Mark M. Meerschaert is a Professor in the Department of Statistics and Probability at Michigan State UniversityMeerschaert has professional experience in the areas of probability, statistics, statistical physics, mathematical modeling, operations research, partial differential equations, ground water and surface water hydrology. He started his professional career in 1979 as a systems analyst at Vector Research, Inc. of Ann Arbor and Washington D.C., where he worked on a wide variety of modeling projects for government and industry. Meerschaert earned his doctorate in Mathematics from the University of Michigan in 1984. He has taught at the University of Michigan, Albion College, Michigan State University, the University of Nevada in Reno, and the University of Otago in Dunedin, New Zealand. His current research interests include limit theorems and parameter estimation for infinite variance probability models, heavy tail models in finance, modeling river flows with heavy tails and periodic covariance structure, medical imaging, anomalous diffusion, continuous time random walks, fractional derivatives and fractional partial differential equations, and ground water flow and transport.

Students: Click here for class information (syllabus, etc.)

See below for some recent preprints.  Click here for his resume, a complete list of publications, Google Scholar profile, information about the Academic Press textbook Mathematical Modeling, the De Gruyter textbook Stochastic Models for Fractional Calculus, or the research monograph Limit Distributions for Sums of Independent Random Vectors: Heavy Tails in Theory and Practice.


RECENT PAPERS AND TALKS in PDF format:  Click below to download.  Click here for a free PDF viewer.