@article{
 title = {Modeling long-memory processes by stochastic difference equations and superstatistical approach},
 type = {article},
 year = {2009},
 keywords = {1/ f noise,Nonlinear stochastic equations,Point processes,Power-law distributions,q-distributions},
 pages = {453-456},
 volume = {39},
 websites = {http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-97332009000400020&lng=en&nrm=iso&tlng=en},
 month = {8},
 id = {15ab96fe-d4bf-3f33-98fe-5b07a398f071},
 created = {2016-02-16T16:07:07.000Z},
 file_attached = {true},
 profile_id = {425903fc-29e3-3e93-b0fe-e189888ff33a},
 last_modified = {2021-11-07T17:42:47.808Z},
 read = {false},
 starred = {false},
 authored = {true},
 confirmed = {false},
 hidden = {false},
 citation_key = {Kaulakys2009BJP},
 private_publication = {false},
 abstract = {It is shown that the Poissonian-like process with slowly diffusing-like time-dependent average interevent time may be represented as the superstatistical one and exhibits 1/ f noise. The distribution of the Poissonian-like interevent time may be expressed as q-exponential distribution of the Nonextensive Statistical Mechanics.},
 bibtype = {article},
 author = {Kaulakys, B. and Alaburda, M. and Gontis, V. and Ruseckas, J.},
 doi = {10.1590/S0103-97332009000400020},
 journal = {Brazilian Journal of Physics},
 number = {2a}
}

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