Computational information geometry in statistics: foundations

K Anaya-Izquierdo, F Critchley, P Marriott… - … Conference on Geometric …, 2013 - Springer
LNCS 8085 - Computational Information Geometry in Statistics: Foundations Page 1
Computational Information Geometry in Statistics: Foundations Karim Anaya-Izquierdo1, Frank …

Multinomial and empirical likelihood under convex constraints: Directions of recession, Fenchel duality, the PP algorithm

M Grendár, V Špitalský - 2017 - projecteuclid.org
Multinomial and empirical likelihood under convex constraints:Directions of recession, Fenchel
duality, the PP algorithm Page 1 Electronic Journal of Statistics Vol. 11 (2017) 2547–2612 …

Computational information geometry in statistics: Mixture modelling

K Anaya-Izquierdo, F Critchley, P Marriott… - … Conference on Geometric …, 2013 - Springer
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 …

[PDF][PDF] Computational Information Geometry: mixture modelling

R Germain Van Bever, F Critchley, P Marriott - pdfs.semanticscholar.org
Computational Information Geometry: mixture modelling 0mm Page 1 Computational
Information Geometry... ...in mixture modelling Computational Information Geometry: mixture …