Auflistung nach Schlagwort "iteratively reweighted least squares"

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Adjustment models for multivariate geodetic time series with vector-autoregressive errors

Kargoll, Boris; Dorndorf, Alexander; Omidalizarandi, Mohammad; Paffenholz, Jens-André; Alkhatib, Hamza (Berlin [u.a.] : de Gruyter, 2021)

In this contribution, a vector-autoregressive (VAR) process with multivariate t-distributed random deviations is incorporated into the Gauss-Helmert model (GHM), resulting in an innovative adjustment model. This model is ...
Self-tuning robust adjustment within multivariate regression time series models with vector-autoregressive random errors

Kargoll, Boris; Kermarrec, Gaël; Korte, Johannes; Alkhatib, Hamza (Berlin [u.a.] : Springer, 2020)

The iteratively reweighted least-squares approach to self-tuning robust adjustment of parameters in linear regression models with autoregressive (AR) and t-distributed random errors, previously established in Kargoll et ...

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