- Frick, K., Munk, A., Sieling, H. (2014).
Multiscale Change-Point Inference (software "stepR" for multiscale change point analysis "SMUCE")
With discussion and rejoinder by the authors. Journ. Royal Statist. Society, Ser. B., 76, 495-580. arXiv:1301.7212 long version with full proofs. - Frick,K. Marnitz,P. Munk,A. (2013).
Statistical Multiresolution Estimation for Variational Imaging: With an Application in Poisson-Biophotonics. J. Math. Imaging Vision, 46, 370-387. - Frick,K., Grasmair,M. (2012).
Regularization of Linear Ill-posed Problems by the Augmented Lagrangian Method and Variational Inequalities Inverse Problems, 28, 104005. - Frick, K., Marnitz, P. (2012).
A Statistical Multiresolution Strategy for Image Reconstruction
LNCS , 6667, 74-85. - Frick, K., Marnitz, P., Munk, A. (2012).
Statistical Multiresolution Dantzig Estimation in Imaging: Fundamental Concepts and Algorithmic Framework Electron. J. Stat., 6, 231-268. - Frick, K., Marnitz, P., Munk, A. (2012).
Shape Constrained Regularisation by Statistical Multiresolution for Inverse Problems Inverse Problems, 28, 065006. - Frick, K., Lorenz, D.A., Resmerita, E. (2011).
Morozov´s principle for the augmented Lagrangian method applied to linear inverse problems Multiscale Model. Simul., 9, 1528-1548. - Frick, K., Scherzer, O. (2010).
Regularization of ill-posed linear equations by the non-stationary Augmented Lagrangian Method J. Integral Equations Appl., 22, 217-258. - Frick, K. (2008).
The Augmented Lagrangian Method and Related Evolution Equations. PhD Thesis (University of Innsbruck). (Preprint). - Frick, K., Scherzer, O. (2007).
Convex Inverse Scale Spaces LNCS, 4485, 313 - 325. - Frick, K., Scherzer, O. (2007).
Application of Non Convex BV Regularization for Image Segmentation Image Processing Based on Partial Differential Equations, 211 - 228. - Burger, M., Frick, K., Osher, S., Scherzer,O. (2007).
Inverse Total Variation Flow Multiscale Model. Simul., 6, 365 - 395.
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