By taking the governing measure of a Dirichlet process as essentially the realization of a Dirichlet process itself, a hierarchical Dirichlet process emerges. This distribution enables the Bayesian treatment of two level hierarchical random effects models, with results paralleling those of Ferguson (1973).

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The model is a DP mixture of normals for related random probability measures Hj . Each random measure is assumed to arise as a mixture Hj = F0 + (1 − )Fj of one common distribution F0 and a distribution Fj that is specific to the j-th submodel. See Mueller, Quintana and Rosner (2004) for details of the model. In summary, the implemented model is as follows. Without loss of generality we assume ...

There is considerable debate on whether the employment and earnings prospects are better for those on low pay or for the unemployed. We use Understanding Society data for England and estimate dynamic random effects panel models which show robust evidence that the future unemployment risk is lower for those who are currently on low pay compared to those who are currently unemployed and the low-p...

A new type of feedback is presented that involves both the auditory and visual modalities. It combines an audio resonant bandpass filter, a geometrically constructed mass-spring system and its graphical skin. The system shows a resonant behavior that is detailed in various parameter setups. Complex mass-spring topologies result in a coherent self-sustained audio-visual system that mimics gusts ...

W propose a measure of managerial ability, based on managers’ efficiency in generating revenues, which is available for a large sample of firms and outperforms existing ability measures. We find that our measure is strongly associated with manager fixed effects and that the stock price reactions to chief executive officer (CEO) turnovers are positive (negative) when we assess the outgoing CEO a...

We describe an approach to building models for data with random effects. The modeling includes both random location effects and random scale effects. The approach consists of a sequence of steps. In each step, model building tools based on certain statistics are used to study the structure of the data and identify or check an aspect of the model; the results of most of the steps are used explic...