Point process models for sweat gland activation observed with noise
Kuronen, Mikko; Myllymäki, Mari; Loavenbruck, Adam; Särkkä, Aila (2021)
Kuronen, Mikko
Myllymäki, Mari
Loavenbruck, Adam
Särkkä, Aila
Julkaisusarja
Statistics in medicine
Volyymi
40
Numero
8
Sivut
2055-2072
Wiley
2021
Julkaisun pysyvä osoite on
http://urn.fi/URN:NBN:fi-fe202102043718
http://urn.fi/URN:NBN:fi-fe202102043718
Tiivistelmä
The aim of this article is to construct spatial models for the activation of sweat glands for healthy subjects and subjects suffering from peripheral neuropathy by using videos of sweating recorded from the subjects. The sweat patterns are regarded as realizations of spatial point processes and two point process models for the sweat gland activation and two methods for inference are proposed. Several image analysis steps are needed to extract the point patterns from the videos and some incorrectly identified sweat gland locations may be present in the data. To take into account the errors, we either include an error term in the point process model or use an estimation procedure that is robust with respect to the errors.
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