On the LIMES approach to spectral analysis of irregularly sampled data

LIMES (LIkelihood-based Method for Estimation of Spectra) is a recently introduced non-parametric approach for the spectral analysis of regularly or irregularly sampled data. While LIMES is a statistically powerful approach (owing to its maximum-likelihood character), it is computationally rather intensive for large data sets; additionally, the variance of its estimation errors increases somewhat fast as the size of the data set decreases. Provided are simple practical solutions to these two problems of LIMES.