2013
DOI: 10.1007/978-3-642-40020-9
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Geometric Science of Information

Abstract: Abstract. This paper applies the tools of computation information geometry [3] -in particular, high dimensional extended multinomial families as proxies for the 'space of all distributions' -in the inferentially demanding area of statistical mixture modelling. A range of resultant benefits are noted.

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Cited by 17 publications
(2 citation statements)
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“…[16][17][18][19][20] In addition, probabilistic approaches that do not require a priori knowledge of the temporal correspondence between sensor measurements have also been proposed. [21][22][23] The BXp formulation can typically compute a better X than the AX ¼ XB formulation due to its lower elevational dimension error when collecting data points. Acquiring the transformation A in AX ¼ XB requires a phantom with structure(s) such as a line(s) or wall(s).…”
Section: Solving Ultrasound Calibration Problemmentioning
confidence: 99%
“…[16][17][18][19][20] In addition, probabilistic approaches that do not require a priori knowledge of the temporal correspondence between sensor measurements have also been proposed. [21][22][23] The BXp formulation can typically compute a better X than the AX ¼ XB formulation due to its lower elevational dimension error when collecting data points. Acquiring the transformation A in AX ¼ XB requires a phantom with structure(s) such as a line(s) or wall(s).…”
Section: Solving Ultrasound Calibration Problemmentioning
confidence: 99%
“…Actually, the q-distribution belongs to the generalized exponential family introduced by Naudts [17,18], who studied the associated entropies and the corresponding generalized thermostatistics [19,20]. The generalized exponential family has a rich geometry that admits two kinds of dualistic Hessian structures [21], giving rise to dual statistical manifolds. It is obtained by replacing, in the expression for the distribution, the ordinary exponential function with its deformed version [22,23] and includes non-Gibbsian distributions used in the study of generalized statistical mechanics like the already cited q-distribution, the κ-distribution [24,25], the two-parameter deformed distribution [26] and others.…”
Section: Introductionmentioning
confidence: 99%