Math 2.0

Statistics Definition

Fréchet mean

Builds on Metric spaceExpected valueRandom variableSample mean

Definition

Let (M,d)(M, d) be a metric space and let XX be a random element of MM with E[d(X,q)2]<∞E[d(X, q)^2] < \infty for some q∈Mq \in M. The Fréchet function of XX is F(p)=E[d(X,p)2]F(p) = E[d(X, p)^2] for p∈Mp \in M, an expected value. A Fréchet mean of XX is a point μ∈M\mu \in M with F(μ)=inf⁡p∈MF(p).F(\mu) = \inf_{p \in M} F(p). For points x1,…,xn∈Mx_1, \dots, x_n \in M and weights wi>0w_i > 0, a Fréchet mean is a minimiser of p↦∑i=1nwi d(xi,p)2p \mapsto \sum_{i=1}^{n} w_i \, d(x_i, p)^2; with equal weights it is the sample Fréchet mean.

Remarks

The condition on qq and the triangle inequality give F(p)<∞F(p) < \infty for every pp. The set of Fréchet means may be empty or have several points. On a complete Riemannian manifold a local minimiser of FF is called a Karcher mean. Replacing d2d^2 by dd gives the Fréchet median.

Example: in M=ℝkM = \R^k with the Euclidean distance, ∑i∥xi−p∥2=∑i∥xi−xˉ∥2+n∥xˉ−p∥2\sum_i \norm{x_i - p}^2 = \sum_i \norm{x_i - \bar x}^2 + n \norm{\bar x - p}^2, where xˉ\bar x is the sample mean. So the sample Fréchet mean is unique and equals xˉ\bar x.

Non-uniqueness: on the unit sphere with the great-circle distance, take two antipodal points xx and −x-x. If pp is at distance θ\theta from xx, it is at distance π−θ\pi - \theta from −x-x, and θ2+(π−θ)2\theta^2 + (\pi - \theta)^2 is smallest exactly at θ=π/2\theta = \pi/2. So every point of the equator between them is a Fréchet mean, and the "midpoint" is not a single point.

Non-example: if XX is real with the Cauchy distribution, then E[(X−q)2]=∞E[(X - q)^2] = \infty for every q∈ℝq \in \R. The moment condition fails, FF is infinite everywhere, and XX has no Fréchet mean, just as it has no ordinary mean.

Reading path

To understand this page from the ground up, read these 5 pages in order. The foundations come first.

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  1. Expected value concept
  2. Metric space concept
  3. Random variable concept
  4. Sample mean concept
  5. Fréchet mean definition

Further reading

  1. Web https://en.wikipedia.org/wiki/Fréchet_mean
About this page
TagKMBHAYAGZ9
URIm2://KMBHAYAGZ9
Kinddefinition
WritingW0 stub
MSC62R20, 62R30
DefinesFréchet mean
UsesMetric space, Expected value, Random variable, Sample mean

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