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Hilbert scales
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Statistical inverse problems
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Tikhonov regularization
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boosting
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errors in variable
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iterative regularization methods
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minimax convergence rates
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nonparametric regression
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Bissantz, Nicolai
Wohlrabe, Klaus
9
Lehmann, Robert
6
Tutz, Gerhard
6
Zeileis, Achim
6
Berge, Travis J.
5
Kapetanios, George
5
Kim, Hyun Hak
5
Swanson, Norman R.
5
Dietz, Sebastian J.
4
Kneib, Thomas
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Kneringer, Philipp
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Phillips, Peter C. B.
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Pierdzioch, Christian
4
Shi, Zhentao
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Buchen, Teresa
3
Döpke, Jörg
3
Fritsche, Ulrich
3
Götz, Thomas B.
3
Jun, Sunghae
3
Klein, Nadja
3
Knetsch, Thomas A.
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Kumar, Pradeep
3
Luati, Alessandra
3
Masini, Ricardo P.
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Mayr, Georg J.
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Mayr, Georg. J.
3
Medeiros, Marcelo C.
3
Mendes, Eduardo F.
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Mußhoff, Oliver
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März, Alexander
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Ng, Serena
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Pesaran, M. Hashem
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Proietti, Tommaso
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Rybizki, Lydia
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Wezel, M.C. van
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van Wezel, van Wezel, M.C.
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Audrino, Francesco
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Bai, Jushan
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Binder, Harald
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Institut für Wirtschafts- und Sozialstatistik, Universität Dortmund
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Technical Report
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Technical Reports / Institut für Wirtschafts- und Sozialstatistik, Universität Dortmund
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Convergence rates of general regularization methods for statistical inverse problems and applications
Bissantz, Nicolai
;
Hohage, T.
;
Munk, Axel
;
Ruymgaart, F.
-
2007
precise convergence rates for satellite gradiometry, L2-
boosting
, and errors in variable problems. …
Persistent link: https://www.econbiz.de/10010298188
Saved in:
2
Convergence rates of general regularization methods for statistical inverse problems and applications
Bissantz, Nicolai
;
Hohage, T.
;
Munk, Axel
;
Ruymgaart, F.
-
Institut für Wirtschafts- und Sozialstatistik, …
-
2007
precise convergence rates for satellite gradiometry, L2-
boosting
, and errors in variable problems. …
Persistent link: https://www.econbiz.de/10009219813
Saved in:
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