Publikationen von R. Preuss

Caticha, A.; Preuss, R.: Maximum entropy and Bayesian data analysis: Entropic prior distributions. Physical Review E 70, 046127 (2004)

Roth, J.; Preuss, R.; Bohmeyer, W.; Brezinsek, S.; Cambe, A.; Casarotto, E.; Doerner, R.; Gauthier, E.; Federici, G.; Higashijima, S. et al.; Hogan, J.; Kallenbach, A.; Kirschner, A.; Kubo, H.; Layet, J. M.; Nakano, T.; Philipps, V.; Pospieszczyk, A.; Pugno, R.; Ruggiéri, R.; Schweer, B.; Sergienko, G.; Stamp, M.: Flux dependence of carbon chemical erosion by deuterium ions. Nuclear Fusion 44, S. L21 - L25 (2004)

Eckstein, W.; Preuss, R.: New fit formulae for the sputtering yield. Journal of Nuclear Materials 320, S. 209 - 213 (2003)

Meier, M.; Preuss, R.; Dose, V.: Interaction of CH₃ and H with amorphous hydrocarbon surfaces: estimation of reaction cross sections using Bayesian probability theory. New Journal of Physics 5, 133 (2003)

Kang, H. D.; Preuss, R.; Schwarz-Selinger, T.; Dose, V.: Decomposition of multicomponent mass spectra using Bayesian probability theory. Journal of Mass Spectrometry 37 (7), S. 748 - 754 (2002)

Dose, V.; Preuss, R.; Roth, J.: Evaluation of chemical erosion data for carbon materials at high ion fluxes using Bayesian probability theory. Journal of Nuclear Materials 288, S. 153 - 162 (2001)

Schwarz-Selinger, T.; Preuss, R.; Dose, V.; von der Linden, W.: Analysis of Multicomponent Mass Spectra Applying Bayesian Probability Theory. Journal of Mass Spectrometry 36, S. 866 - 874 (2001)

Dose, V.; Pecher, P.; Preuss, R.: Formulas for Cross Sections and Rate Coefficients for Partial Electron Impact Ionization of CH₄ and H₂. Journal of Physical and Chemical Reference Data 29, S. 1157 - 1164 (2000)

Dose, V.; Pecher, P.; Preuss, R.: Formulas for Cross Sections and Rate Coefficients for partial Electron Impact Ionization of CH₄ and H₂. Journal of Physical and Chemical Reference Data 29, S. 1157 - 1164 (2000)

Preuss, R.; Dose, V.; Linden, W. v. d.: Dimensionally exact form-free energy confinement scaling in W7-AS. Nuclear Fusion 39 (7), S. 849 - 862 (1999)

Dose, V.; Preuss, R.; Linden, W. v. d.: Dimensionally Exact Energy Confinement Scaling in W7-AS. Physical Review Letters 81, S. 3407 - 3410 (1998)

Dose, V.; Preuss, R.; Linden, W. v. d.: Dimensionally constrained energy confinement analysis of W7-AS data. Nuclear Fusion 38 (4), S. 571 - 583 (1998)

von der Linden, W.; Preuss, R.; Hanke, W.: Consistent application of maximum entropy to quantum Monte Carlo data. Journal of Physics C 8, S. 3881 - 3888 (1996)

Preuss, R.; Hanke, W.; von der Linden, W.: Quasiparticle Dispersion of the 2D Hubbard Model: From an Insulator to a Metal. Physical Review Letters 75, S. 1344 - 1347 (1995)

Preuss, R.; Putz, R.; Hanke, W.; Linden, W. v. d.: Continuous evolution of the 2D Hubbard model from an insulator to a metal. Journal of Physics and Chemistry of Solids 56 (12), S. 1659 - 1661 (1995)

Preuss, R.; Muramatsu, A.; von der Linden, W.; Dieterich, P.; Assaad, F.; Hanke, W.: Spectral Properties of the One-Dimensional Hubbard Model. Physical Review Letters 73, S. 732 - 735 (1994)

Fischer, R.; Preuss, R.; von Toussaint, U. (Hg.): Bayesian Inference and Maximum Entropy Methods in Science and Engineering. American Institute of Physics, Melville,NY (2004), 623 S.

Dieterich, P.; Preuss, R.: Bayesian parameter estimation for stochastic models of biological cell migration. In: Bayesian Inference and Maximum Entropy Methods in Science and Engineering: 32nd International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering, S. 16 - 22 (Hg. Toussaint, U. v.). American Institute of Physics, Melville, TN (2013)

Moskopp, M. L.; Preuss, R.; Deussen, A.; Chavakis, T.; Dieterich, P.: Bayesian data analysis of the dynamics of rolling leukocytes. In: Bayesian Inference and Maximum Entropy Methods in Science and Engineering: 32nd International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering, S. 61 - 68 (Hg. Toussaint, U. v.). American Institute of Physics, Melville, TN (2013)

Preuss, R.; Dieterich, P.: Employment of the covariance matrix in parameter estimation for stochastic processes in cell biology. In: Bayesian Inference and Maximum Entropy Methods in Science and Engineering: 32nd International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering, S. 114 - 121 (Hg. Toussaint, U. v.). American Institute of Physics, Melville, TN (2013)