@article{PetersGillesAueretal.2003,
  author    = {Peters, J{\"o}rg and Gilles, Peter and Auer, Peter and Selting, Margret},
  title     = {Identifying regional varieties by pitch information : a comparison of two approaches},
  isbn      = {1-87634-649-3},
  year      = {2003},
  language  = {en}
}
@article{SeltingAuerBarthWeingartenetal.2009,
  author    = {Selting, Margret and Auer, Peter and Barth-Weingarten, Dagmar and Bergmann, J{\"o}rg and Bergmann, Pia and Birkner, Karin and Couper-Kuhlen, Elizabeth and Deppermann, Arnulf and Gilles, Peter and G{\"u}nthner, Susanne and Hartung, Martin and Kern, Friederike and Mertzlufft, Christine and Meyer, Christian and Morek, Miriam and Oberzaucher, Frank and Peters, J{\"o}rg and Quasthoff, Uta and Sch{\"u}tte, Wilfried and Stukenbrock, Anja and Uhmann, Susanne},
  title     = {Gespr{\"a}chsanalytisches Transkriptionssystem 2 (GAT 2)},
  issn      = {1617-1837},
  year      = {2009},
  language  = {de}
}
@article{PetersGillesAueretal.2002,
  author    = {Peters, J{\"o}rg and Gilles, Peter and Auer, Peter and Selting, Margret},
  title     = {Identification of regional varieties by intonational cues : an experimental study on Hamburg and Berlin German},
  year      = {2002},
  language  = {en}
}
@article{SeltingAuerGillesetal.2000,
  author    = {Selting, Margret and Auer, Peter and Gilles, Peter and Peters, J{\"o}rg},
  title     = {Intonation regionaler Variet{\"a}ten des Deutschen : Vorstellung eines Forschungsprojekts},
  isbn      = {3-515-07762-6},
  year      = {2000},
  language  = {de}
}
@article{BlanchardMathe2012,
  author    = {Blanchard, Gilles and Mathe, Peter},
  title     = {Discrepancy principle for statistical inverse problems with application to conjugate gradient iteration},
  series = {Inverse problems : an international journal of inverse problems, inverse methods and computerised inversion of data},
  volume    = {28},
  journal   = {Inverse problems : an international journal of inverse problems, inverse methods and computerised inversion of data},
  number    = {11},
  publisher = {IOP Publ. Ltd.},
  address   = {Bristol},
  issn      = {0266-5611},
  doi       = {10.1088/0266-5611/28/11/115011},
  pages     = {23},
  year      = {2012},
  abstract  = {The authors discuss the use of the discrepancy principle for statistical inverse problems, when the underlying operator is of trace class. Under this assumption the discrepancy principle is well defined, however a plain use of it may occasionally fail and it will yield sub-optimal rates. Therefore, a modification of the discrepancy is introduced, which corrects both of the above deficiencies. For a variety of linear regularization schemes as well as for conjugate gradient iteration it is shown to yield order optimal a priori error bounds under general smoothness assumptions. A posteriori error control is also possible, however at a sub-optimal rate, in general. This study uses and complements previous results for bounded deterministic noise.},
  language  = {en}
}
@article{GillesPetersSelting2001,
  author    = {Gilles, Peter and Peters, J{\"o}rg and Selting, Margret},
  title     = {Perzeptuelle Identifikation regional markierter Tonh{\"o}henverl{\"a}ufe},
  year      = {2001},
  language  = {de}
}
@unpublished{BlanchardMathe2012,
  author    = {Blanchard, Gilles and Math{\´e}, Peter},
  title     = {Discrepancy principle for statistical inverse problems with application to conjugate gradient iteration},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-57117},
  year      = {2012},
  abstract  = {The authors discuss the use of the discrepancy principle for statistical inverse problems, when the underlying operator is of trace class. Under this assumption the discrepancy principle is well defined, however a plain use of it may occasionally fail and it will yield sub-optimal rates. Therefore, a modification of the discrepancy is introduced, which takes into account both of the above deficiencies. For a variety of linear regularization schemes as well as for conjugate gradient iteration this modification is shown to yield order optimal a priori error bounds under general smoothness assumptions. A posteriori error control is also possible, however at a sub-optimal rate, in general. This study uses and complements previous results for bounded deterministic noise.},
  language  = {en}
}