CATS: GPS coordinate time series analysis software

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Global sea-level rise and its relation to the terrestrial reference frame (2009, methodology): “Note that the uncertainties of the GPS vertical velocities were computed from maximum likelihood estimates of correlated noise variances (Williams 2008).”
A new velocity field for Greece: Implications for the kinematics and dynamics of the Aegean (2010, positive): “[11] The cleaned continuous time series were analyzed for the presence of time‐dependent (colored) noise, using the CATS software [Williams, 2008].”
Correlated errors in GPS position time series: Implications for velocity estimates (2011, methodology): “4.2. Optimal Noise Model Criteria [15] We used MLE as implemented by Williams [2008] to address the nature and the amount of time‐correlated noise in the 275 residual vertical time series (section 2). This technique has been shown to perform better than the classical spectral analysis, improving t”
Estimation of velocity uncertainties from GPS time series: Examples from the analysis of the South African TrigNet network (2011, methodology): “There are many ways to deal with time‐correlated noise mostly based on spectral analyses [e.g., Lomb, 1976; Scargle, 1982] or on MLE [e.g., Williams, 2008; Bos et al., 2008].”
Long GPS coordinate time series: Multipath and geometry effects (2009, methodology): “To further asses these reductions we computed the spectral index using CATS software [ Williams, 2008 ].”