education and training
- Ph.D. in Statistics, The Ohio State University - (Columbus, Ohio, United States) 2011
- M.S. in Statistics, The Ohio State University - (Columbus, Ohio, United States) 2008
- B.S. in Statistics, Ludwig Maximilian University of Munich - (Munich, Germany) 2007
selected publications
Academic Articles12
- Katzfuss, M. (2017). A Multi-Resolution Approximation for Massive Spatial Datasets. Journal of the American Statistical Association. 112(517), 201-214.
- Katzfuss, M., & Hammerling, D. (2017). Parallel inference for massive distributed spatial data using low-rank models. Statistics and Computing. 27(2), 363-375.
- Katzfuss, M., Stroud, J. R., & Wikle, C. K. (2016). Understanding the Ensemble Kalman Filter. AMERICAN STATISTICIAN. 70(4), 350-357.
- Katzfuss, M., & Bhattacharya, A. (2015). Comment on Article by Dawid and Musio. Bayesian Analysis. 10(2), 501-504.
- Jun, M., Katzfuss, M., Hu, J., & Johnson, V. E. (2014). Assessing fit in Bayesian models for spatial processes. Environmetrics. 25(8), 584-595.
researcher on
Principal Investigator2
Investigator1
awards and honors
recent teaching activities
- STAT211 Prin Of Statistics I Instructor
- STAT415 Math Statistics Ii Instructor
- STAT491 Research Instructor
- STAT638 Applied Bayes Methods Instructor
- STAT677 Advanced Spatial Statistics Instructor
chaired theses and dissertations
- Gong, Wenlong (2018-12). Multi-Resolution Approximations of Gaussian Processes for Large Spatial Datasets. (Doctoral Dissertation)
Email
katzfuss@tamu.edu
First Name
Matthias
Last Name
Katzfuss
mailing address
Texas A&M University; Department Of Statistics; 3143 TAMU
College Station, TX 77843-3143
USA