Special Issue "Symmetry in Probability and Inference"
A special issue of Symmetry (ISSN 2073-8994).
Deadline for manuscript submissions: closed (30 June 2016)
Prof. Marlos Viana
University of Illinois at Chicago (Retd.), Chicago, IL 60612, USA
Interests: symmetry-derived algebraic methods for data analysis; symmetry studies; applications of algebraic methods to statistics and probability with applications in physics (optics); molecular biology (symbolic sequences)
Papers should address any aspects of symmetry arguments in probability and statistical inference, such as, but not limited to: Constructive rules of probability and inference derived from symmetry arguments; relative probabilities; symmetric probability measures, symmetry in probability distributions, symmetry-related arguments in entropy (probabilistic) laws; epistemic probabilities and symmetry principles, symmetry arguments in the cognitive foundations of probability, statistical inference under symmetry, quantum statistical inference, asymmetric inference (in Markov processes), exchangeability and symmetry. Group-theoretic approaches to probability and inference, including those discussing aspects of symmetry invariance derived from symmetry arguments will be considered. Papers discussing covariance structures derived from symmetry arguments, for example, will also be considered. Annotated reviews may also be considered.
Authors may benefit from clearly distinguishing papers (of lesser interest) that apply statistical methods to assess simple parametric hypotheses of symmetry from papers (of higher interest) that, instead, propose new statistical models amenable to classes of symmetries.
All papers should explicitly discuss the role of symmetry in their area of research, making it of interest and accessibility to all readership of Symmetry.
The guest editor encourages all authors, if in doubt, to contact him firstname.lastname@example.org with a brief white paper on their topic.
Dr. Marlos Viana