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Matthias Chung, Ph.D. (formerly Conrad) Assistant Professor Department of Mathematics Texas State University 601 University Drive San Marcos, TX 78666, USA Phone: +1 (512) 245-3414 Fax : +1 (512) 245-3425 E-mail: mc85ATtxstate.edu Office: MATH/CS 459 Office Hours: by appointment |
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Research keywords
New publications
- M. Chung, B.A. Johnson and Q. Long. A Tutorial on Rank-based Coefficient Estimation for Censored Data in Small- and Large-Scale Problems. to appear in Statistics and Computing, 2012.
- E. Haber, M. Chung, and F. Hermann. An effective method for parameter estimation with PDE constraints with multiple right hand sides. to appear in SIAM Journal on Optimization, 2012.
- J. Chung, M. Chung, and D.P. O’Leary. Optimal error filters for image deconvolution with data acquisition errors. to appear in Journal of Mathematical Imaging and Vision, 2012.
- M. Chung and E. Haber. Experimental design in biological systems. SIAM Journal on Control and Optimization, 50(1): 471–489, 2012.
- M. Chung and B. Göbel. Advances in Systems Biology, chapter Mathematical Modeling of the Human Energy Metabolism based on the Selfish Brain Theory, pages 425–440. Springer, 2012.
- B. Göbel, M. Chung, K.M. Oltmanns, A. Peters, and D. Langemann. Robust modeling of appetite regulation. Journal of Theoretical Biology, 291:65–75, 2011.
- J. Chung, M. Chung, and D.P. O’Leary. Designing optimal spectral filters for inverse problems. SIAM Journal on Scientific Computing, 33(6):3132-3152, 2011.
- M. Chung, B. Göbel, A. Peters, K.M. Oltmanns, and A. Moser. A mathematical model of the brain’s energy sensing. Journal of Biomedical Science and Engineering, 4:136-145, 2011.
- Q. Long, M. Chung, C.S. Moreno, and B.A. Johnson. Risk prediction for prostate cancer recurrence through regularized estimation with simultaneous adjustment for nonlinear clinical effects. Annals of Applied Statistics, 5(3):2003–2023, 2011.
- B.A. Johnson, Q. Long, and M. Chung. On path restoration for censored outcomes. Biometrics, 67, 2011.
Special Research Topic (Guest Editor)
The Human Energy Metabolism – Implications from Mathematical Modeling