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  • Search: subject:"shape space"
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Year of publication
Subject
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Shape space 3 shape space 2 Density estimation 1 Hypersphere 1 Influenza 1 Intrinsic mean shape 1 Kendall shape space 1 Multivariate analysis 1 Non-Euclidean statistics 1 Nonparametric Bayes 1 Partial warps 1 Posterior consistency 1 Preshape space 1 Riemannian manifold 1 Robust gradient descent algorithm 1 Sample-dependent prior 1 Step size 1 Tangent space 1 Weighted network 1 affinity 1 antibody 1 antigen 1 cross-reactive memory 1 hemagglutination assay 1 immune system 1 multidimensional scaling 1 original antigenic sin 1
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Online availability
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Undetermined 4
Type of publication
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Article 4 Book / Working Paper 2
Language
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Undetermined 6
Author
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Bhattacharya, Abhishek 1 Burns, John 1 Dunson, David 1 Farber, Robert 1 Forrest, Stephanie 1 Fotouhi, H. 1 Golalizadeh, M. 1 Hightower, Ron R. 1 Lapedes, Alan 1 Perelson, Alan S. 1 Rohlf, F. James 1 Ruskin, Heather J. 1 Smith, Derek J. 1
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Institution
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Santa Fe Institute 2
Published in...
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Working Papers / Santa Fe Institute 2 Annals of the Institute of Statistical Mathematics 1 Journal of Classification 1 Physica A: Statistical Mechanics and its Applications 1 Statistical Papers / Springer 1
Source
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RePEc 6
Showing 1 - 6 of 6
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Highly resistant gradient descent algorithm for computing intrinsic mean shape on similarity shape spaces
Fotouhi, H.; Golalizadeh, M. - In: Statistical Papers 56 (2015) 2, pp. 391-410
the intrinsic mean on the shape space. We compare the performance of our proposed procedure to the usual GDA using a real …
Persistent link: https://www.econbiz.de/10011241326
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Strong consistency of nonparametric Bayes density estimation on compact metric spaces with applications to specific manifolds
Bhattacharya, Abhishek; Dunson, David - In: Annals of the Institute of Statistical Mathematics 64 (2012) 4, pp. 687-714
Persistent link: https://www.econbiz.de/10010558357
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Weighted networks in immune system shape space
Ruskin, Heather J.; Burns, John - In: Physica A: Statistical Mechanics and its Applications 365 (2006) 2, pp. 549-555
emergence of a complex network in shape space is outlined, the edges of which are characterised by both direction and weight …
Persistent link: https://www.econbiz.de/10010591438
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The Geometry of Shape Space: Application to Influenza
Lapedes, Alan; Farber, Robert - Santa Fe Institute - 2000
Shape space was proposed by Perelson and Oster 20 years ago as a conceptual formalism in which to represent antibody … abstract "shape space" where coordinates of points in this space represent generalized physico-chemical properties associated …. Distances in shape space between points representing antibodies and (the shape complement of) antigens are assumed to be related …
Persistent link: https://www.econbiz.de/10005739909
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Shape Statistics: Procrustes Superimpositions and Tangent Spaces
Rohlf, F. James - In: Journal of Classification 16 (1999) 2, pp. 197-223
approximations of D. G. Kendall's non-Euclidean shape space is given, and the equivalence of several methods based on orthogonal …
Persistent link: https://www.econbiz.de/10010794932
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Deriving Shape Space Parameters from Immunological Data for a Model of Cross-Reactive Memory
Smith, Derek J.; Forrest, Stephanie; Hightower, Ron R.; … - Santa Fe Institute - 1997
threshold affinity for an antigen lie in a region of shape space that we call a {\it ball of stimulation}. In a cross … of balls of stimulation in different shape spaces, and show that the parameters of shape space, such as its … dimensionality, have a large impact on the number of B cells in the intersection. We present a method for deriving shape space …
Persistent link: https://www.econbiz.de/10005790736
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