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We show that Markov couplings can be used to improve the accuracy of Markov chain Monte Carlo calculations in some situations where the steady-state probability distribution is not explicitly known. The technique generalizes the notion of control variates from classical Monte Carlo integration. We illustrate it using two models of nonequilibrium transport.
"Does Privatization Serve the Public Interest?" ask John B. Goodman and Gary W. Loveman. Supporters of privatization claim that it will bring more efficiency and better quality. Critics, however, argue that other values--the broader public interest--must be accounted for. The authors draw a valuable lesson from the debate over corporate takeovers: the form(More)
A new photoelastic model system incorporating a simulated periodontal ligament sleeve around an experimental first molar has been developed. The system was used to visualize internal compressive stresses created by various premature occlusal incline relationships in both buccolingual and mesiodistal dimensions. When prematurities were applied singly and(More)
All Rights Reserved 2000 ii For my parents iv Acknowledgements I am very grateful to my advisor, Professor Jonathan Goodman, who did a great job in helping me to find a lot of directions (including directions for mesh refinement, financial help, job). It has been a very enjoyable experience to work and learn from Jonathan. Thanks to Professor Olof Widlund(More)
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