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Table 2: Posterior probabilities of models and parameter estimates under the super heavy-tailed distribution assumption based on the data set without outliers.. Models
Table 1: Simulated coverage probabilities (CP) and average lengths (AL) of 95% confidence intervals from the proposed exact (EX) method, the restricted maximum likelihood (REML)
Our aim is to release a privacy enhanced RKHS smoothing estimate of the mean
Risk bounds for the LSE in other shape-restricted regression problems In this section we consider the problems of convex regression (Example 1.3), isotonic regres- sion on a
Unlike its predecessors the main attraction of the LL distribution is that it has nice compact forms for the probability density function (pdf), cdf and
For community detection, the focus is on the special case where all π i are degenerate; the goal is clustering, so Hamming distance is the natural choice of loss function, and the
The better performance of moncord over space, concord and glasso is largely due to the fact that mconcord is designed for multivariate network, and treating the precision matrix
This paper presents the generalised random dot product graph , a latent position model which gen- eralises the stochastic blockmodel, the mixed membership stochastic blockmodel and,
