Dear list :

Following the intuition of Roderik Lindenbergh, I would actually like to ask 
as question to the whole list whether :

"The positive definiteness between a set of points, as needed for kriging, 
is not spoiled by changing the distance metric between these points, as long 
as one uses a valid distance metric as defined for example in 
http://mathworld.wolfram.com/Metric.html"; ?

Note that the above statement refers to the positive-definiteness needed for 
kriging, not the merely positive-definiteness of a covariance model. I am 
not sure which of these was Roderik refering to.

I don't think that everybody would agree with the above statement, but what 
work exists either proving it, or providing counter examples?

Marc Serre
Assistant Professor,
Environmental Sciences and Engineering
The University of North Carolina at Chapel Hill
Chapel Hill, NC 27599-7431, USA

----- Original Message ----- 
From: "Roderik Lindenbergh" <[EMAIL PROTECTED]>
To: <[email protected]>
Sent: Friday, April 06, 2007 3:16 PM
Subject: Re: AI-GEOSTATS: Kriging a non-planar surface lacking natural 
parametization


Dear list,

my intuition is that as long as you define a valid notion of distance on the
object of interest, in this case a bone, you can do Kriging.
The idea is that the variogram/covariance function does not `know` how
your point pair distance is obtained anyway, so the positive definiteness is
not spoiled by changing your distance function.

A valid notion of distance is obtained by making sure that your distance
function
fulfills the requirement of a metric:
  http://mathworld.wolfram.com/Metric.html
that is, triangle inequality should hold, etc.

good luck,                                         Roderik Lindenbergh

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