Long-range correlations in nucleotide sequences

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On the origin of long-range correlations in texts (2012, background): “(3) because integrated indicators lead to more robust numerical estimations of asymptotic quantities [1, 8, 10, 11].”
Increasing biological complexity is positively correlated with the relative genome-wide expansion of non-protein-coding DNA sequences (2003, unknown): “It is also worth acknowledging the more general work that has been done suggesting that there are one or more structured languages residing in ncDNA using power law analysis, Zipf language analysis, Shannon analysis, and measures of redundancy [44-47].”
LONG RANGE CORRELATION IN HUMAN WRITINGS (1993, methodology): “Peng et al. (1992) have recently studied the DNA symbol-strings with significant findings.”
Temporal correlations and clustering of landslides (2010, methodology): “In their analyses, they applied DFA to the equally spaced equivalent of the original earthquake data series (i.e. they removed all the ‘gaps’ in time between data values, also known as ‘natural’ time), and then compared their results to synthetic time series with known properties of correlation or l”
Autocorrelation and cross-correlation in time series of homicide and attempted homicide (2014, background): “If, for example, in a given time-series {u(i)} [16] self-affinity appears, then long range power-law correlations are present [17–19].”