Autoregressive spectral estimation by application of the Burg algorithm to irregularly sampled data. - Robert Bos; Stijn de Waele; Piet M. T. Broersen (IEEE Trans. Instrum. Meas., 2002)

Accelerating large-scale non-linear models for monitoring and control using spatial and temporal correlations. - Robert Bos; Xavier Bombois; Paul M. J. Van den Hof (ACC, 2004)

Autoregressive order selection in missing data problems. - Piet M. T. Broersen; Robert Bos (EUSIPCO, 2004)

Autoregressive spectral analysis when observations are missing. - Piet M. T. Broersen; Stijn de Waele; Robert Bos (Autom., 2004)

Application of autoregressive spectral analysis to missing data problems. - Piet M. T. Broersen; Stijn de Waele; Robert Bos (IEEE Trans. Instrum. Meas., 2004)

A Likelihood Ratio Test for Functional MRI Data Analysis to Account for Colored Noise. - Jan Sijbers; Arnold Jan den Dekker; Robert Bos (ACIVS, 2005)

Accelerating simulations of first principle models of complex industrial systems using quasi linear parameter varying models. - Robert Bos; Xavier Bombois; Paul M. J. Van den Hof (CDC/ECC, 2005)

Robust estimation of the noise variance from background MR data. - Jan Sijbers; Arnold J. den Dekker; Dirk H. J. Poot; Robert Bos; Marleen Verhoye; Nadja Van Camp; Annemie van der Linden (Image Processing, 2006)

Time-series analysis if data are randomly missing. - Piet M. T. Broersen; Robert Bos (IEEE Trans. Instrum. Meas., 2006)

Estimating time-series models from irregularly spaced data. - Piet M. T. Broersen; Robert Bos (IEEE Trans. Instrum. Meas., 2006)

Likelihood-Based Hypothesis Tests for Brain Activation Detection From MRI Data Disturbed by Colored Noise: A Simulation Study. - Arnold J. den Dekker; Dirk H. J. Poot; Robert Bos; Jan Sijbers (IEEE Trans. Medical Imaging, 2009)