论文标题
用噪声观察到的汗腺激活的点过程模型
Point process models for sweat gland activation observed with noise
论文作者
论文摘要
本文的目的是通过使用受试者记录的出汗视频来构建用于健康受试者的汗腺和患有周围神经病的受试者的空间模型。汗液模式被认为是空间点过程的实现和汗腺激活的两个点过程模型，并提出了两种推理方法。需要几个图像分析步骤来从视频中提取点模式，并且数据中可能存在一些错误识别的汗腺位置。要考虑到错误，我们要么在点过程模型中包括一个错误项，要么使用相对于错误强大的估算过程。
The aim of the paper 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.
