Binary autoregressive geometric modelling in a DNA context
22/11/2016 Tuesday 22nd November 2016, 11:00 (Room P3.10, Mathematics Building)
Sónia Gouveia, Institute of Electronics and Informatics Engineering and Centre for R&D in Mathematics and Applications, University of Aveiro, Portugal
Symbolic sequences occur in many contexts and can be characterized e.g. by integer-valued intersymbol distances or binary-valued indicator sequences. The analysis of these numerical sequences often sheds light on the properties of the original symbolic sequences. This talk introduces new statistical tools to explore the autocorrelation structure in indicator sequences and to evaluate its impact on the probability distribution of intersymbol distances. The methods are illustrated with data extracted from mitochondrial DNA sequences.
This is a joint work with Manuel Scotto (IST, Lisbon, Portugal), Christian Weiss (Helmut Schmidt University, Hamburg, Germany) and Paulo Ferreira (DETI, IEETA, Aveiro, Portugal).