scholarly journals Properties for the Fréchet mean in Billera-Holmes-Vogtmann treespace

2020 ◽  
Vol 120 ◽  
pp. 102072
Author(s):  
Maria Anaya ◽  
Olga Anipchenko-Ulaj ◽  
Aisha Ashfaq ◽  
Joyce Chiu ◽  
Mahedi Kaiser ◽  
...  
Keyword(s):  
1998 ◽  
Vol 30 (1) ◽  
pp. 53-63 ◽  
Author(s):  
Huiling Le

We discuss the uniqueness of the Fréchet mean of a class of distributions on the shape space of k labelled points in ℝ2, the supports of which could be the entire space. From this it follows that the shape of the means is the unique Fréchet mean shape of the induced distribution with respect to an appropriate metric structure, provided the distribution of k labelled points in ℝ2 is isotropic and satisfies a further mild condition. This result implies that an increasing sequence of procrustean mean shapes defined in either of the two ways used in practice will tend almost surely to the shape of the means.


1998 ◽  
Vol 30 (01) ◽  
pp. 53-63 ◽  
Author(s):  
Huiling Le

We discuss the uniqueness of the Fréchet mean of a class of distributions on the shape space of k labelled points in ℝ2, the supports of which could be the entire space. From this it follows that the shape of the means is the unique Fréchet mean shape of the induced distribution with respect to an appropriate metric structure, provided the distribution of k labelled points in ℝ2 is isotropic and satisfies a further mild condition. This result implies that an increasing sequence of procrustean mean shapes defined in either of the two ways used in practice will tend almost surely to the shape of the means.


Biometrika ◽  
2017 ◽  
Vol 104 (4) ◽  
pp. 901-922 ◽  
Author(s):  
Tom M W Nye ◽  
Xiaoxian Tang ◽  
Grady Weyenberg ◽  
Ruriko Yoshida

2000 ◽  
Vol 32 (3) ◽  
pp. 663-674 ◽  
Author(s):  
Alfred Kume ◽  
Huiling Le

In [8], Le showed that procrustean mean shapes of samples are consistent estimates of Fréchet means for a class of probability measures in Kendall's shape spaces. In this paper, we investigate the analogous case in Bookstein's shape space for labelled triangles and propose an estimator that is easy to compute and is a consistent estimate of the Fréchet mean, with respect to sinh(δ/√2), of any probability measure for which such a mean exists. Furthermore, for a certain class of probability measures, this estimate also tends almost surely to the Fréchet mean calculated with respect to the Riemannian distance δ.


2014 ◽  
Vol 46 (4) ◽  
pp. 698-708 ◽  
Author(s):  
H. Le ◽  
D. Barden
Keyword(s):  

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