Loneliness in individuals with intellectual disability

Although some substantial issues exist regarding measurement of loneliness in individuals with intellectual disability, research has generally concluded that members of this group are more likely to (1) appear to others to be lonelier than their typically developing peers and (2) self-report greater loneliness than typically-developing individuals. As examples, in a study by Solish, Perry, and Minnes (2010), parents of children with intellectual disability reported fewer friendships and social activities for their children than parents of typically-developing children. Oates, Bebbington, Bourke, Girdler, and Leonard (2011) found that approximately one-third of the parents in their population study of children with Down syndrome reported that their child had no friends. When questioned directly about the experience of loneliness, only boys with mild intellectual disability reported more loneliness than their same age, typically-developing peers (Williams & Asher, 1992).

Estimation of cosmological parameters using adaptive importance sampling

We present a Bayesian sampling algorithm called adaptive importance sampling or population Monte Carlo (PMC), whose computational workload is easily parallelizable and thus has the potential to considerably reduce the wall-clock time required for sampling, along with providing other benefits. To assess the performance of the approach for cosmological problems, we use simulated and actual data consisting of CMB anisotropies, supernovae of type Ia, and weak cosmological lensing, and provide a comparison of results to those obtained using state-of-the-art Markov chain Monte Carlo (MCMC). For both types of data sets, we find comparable parameter estimates for PMC and MCMC, with the advantage of a significantly lower wall-clock time for PMC. In the case of WMAP5 data, for example, the wall-clock time scale reduces from days for MCMC to hours using PMC on a cluster of processors. Other benefits of the PMC approach, along with potential difficulties in using the approach, are analyzed and discussed.