Frank Bauer 2007 Inverse Problems 23 837 doi:10.1088/0266-5611/23/2/021
Frank Bauer
Show affiliationsUsing a Bayesian-type approach to inverse problems many phenomena occurring in practice can be explained in a consistent way. In particular we can prove a discrete version of the quasi-optimality criterion for choosing the regularization parameter by simply imposing minor additional a priori assumptions about the solution and the measurement noise.
02.60.Pn Numerical optimization
60G40 Stopping times; optimal stopping problems; gambling theory (See also 62L15, 91A60)
Issue 2 (April 2007)
Received 28 June 2006, in final form 29 December 2006
Published 16 March 2007
Frank Bauer 2007 Inverse Problems 23 837
Maureen Clerc and Jan Kybic 2007 Inverse Problems 23 2589
Pedro Serranho 2006 Inverse Problems 22 663
Herbert Egger et al 2006 Inverse Problems 22 1247
Kamal Belkebir and Marc Saillard 2004 Inverse Problems 21 S1
Alan L Andrew 2005 Inverse Problems 21 223
A El Badia et al 2005 Inverse Problems 21 1121
M Bertero et al 1986 Inverse Problems 2 131
Hans Lundmark and Jacek Szmigielski 2003 Inverse Problems 19 1241
Koen Denecker et al 1998 Inverse Problems 14 615