09h00-09h45 | G. Golub, Matrices and moments: perturbation for least |

09h45-10h30 | A. Beck, The regularized total least squares problem |

11h00-11h30 | D. Sima, Level choice in truncated total least squares |

11h30-12h00 | A. Watson, Robust counterparts of errors-in-variables problems |

13h30-16h15 | C.-L. Cheng, On the conditional score and corrected score estimation in nonlinear ME models |

16h15-15h00 | H. Schneeweiss, Comparing the efficiency of structural and functional methods in ME models |

15h30-16h00 | Shalabh, On the estimation of linear ultrastructural model when error variances are known |

16h00-16h30 | G. Garg, Consistent estimation of regression coefficients in ME model under exact linear restrictions |

08h30-09h15 | Z. Strakoš, Bidiagonalization as a fundamental decomposition of data in linear approximation problems |

09h15-10h00 | Å. Björck, A band Lanczos algorithm for least squares and total least squares problems |

10h30-11h00 | X.-W. Chang, Minimal backward perturbations for data least squares problems |

11h00-11h30 | D. Titley-Peloquin, Characterizing matrices consistent with given approximate solutions |

11h30-12h00 | M. Schuermans, On the equivalence between TLS and maximum likelihood principal component analysis |

13h30-14h30 | K. Kanatani, Hyperaccuracy for geometric fitting |

14h30-15h15 | I. Markovsky, Low-rank approximation and its applications for data fitting |

15h15-16h00 | A. Kukush, Estimation in a multivariate errors-in-variables model with unknown noise variance ratio |

16h30-17h00 | L. Zhi, An STLS algorithm for approximate greatest common divisors of multivariate polynomials |

17h00-17h30 | J. Winkler, Structured matrix methods for the computation of rank reduced Sylvester matrix |

08h30-09h30 | T. Söderström, Errors-in-variables methods in system identification |

09h30-10h15 | R. Guidorzi, Some issues on errors-in-variables identification |

10h30-11h00 | J. Linden, Model-based control in the errors-in-variables framework |

11h00-11h30 | R. Pintelon, Frequency domain maximum likelihood estimation of linear dynamic EIV models |

11h30-12h00 | J. Schoukens, Identifiability analysis for errors-in-variables problems |

13h30-16h15 | A. Yeredor, On the role of constraints in system identification |

16h15-15h00 | R. Vaccaro, Optimal parameter estimation from shift-invariant subspaces |

15h00-15h45 | L. De Lathauwer, Principal component, independent component and parallel factor analysis |

15h45-16h30 | J. Ramos, Applications of TLS and related methods in the environmental sciences |