Dan Lovell

1Nico Wulffraat
1Toshiyuki Kitoh
1Yosef Uziel
1Francesca Minoia
1Tadej Avcin
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The Dirichlet process (DP) is a fundamental mathematical tool for Bayesian nonparametric modeling, and is widely used in tasks such as density estimation, natural language processing, and time series modeling. Although MCMC inference methods for the DP often provide a gold standard in terms asymptotic accuracy, they can be computationally expensive and are(More)
OBJECTIVE Children with juvenile idiopathic inflammatory myopathies (JIIM) present with muscle inflammation and decreased strength that may affect their functional abilities. The purpose of this study was to determine the intra-rater and inter-rater reliability of the 0 to 10-point manual muscle testing method for children with JIIM. METHODS For the(More)
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