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Fast Physical Activity Suggestions: Efficient Hyperparameter Learning in Mobile Health
We propose an algorithm for providing physical activity suggestions in mHealth settings.
Streamlined Empirical Bayes Fitting of Linear Mixed Models in Mobile Health
For example, a mobile health (mHealth) application designed to increase physical activity must make contextually relevant suggestions to motivate users.
Streamlined Variational Inference for Linear Mixed Models with Crossed Random Effects
Because of this fact we also consider a hierarchy of relaxations of the mean field product restriction.
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