1. Mixture reduction via predictive scores

   • ROBERT G. COWELL

   OriginalPaper Pages: 97 - 103

2. Inference for circular distributions and processes

   • STUART COLES

   OriginalPaper Pages: 105 - 113

3. A simulation approach to convergence rates for Markov chain Monte Carlo algorithms

   • MARY KATHRYN COWLES
   • JEFFREY S. ROSENTHAL

   OriginalPaper Pages: 115 - 124

4. On a differential equation approach to the weighted orthogonal Procrustes problem

   • MOODY T. CHU
   • NICKOLAY T. TRENDAFILOV

   OriginalPaper Pages: 125 - 133

5. Conditional simulation for moving average processes with discrete or continuous values

   • R. SETTIMI
   • P. G. BLACKWELL

   OriginalPaper Pages: 135 - 144

6. Reparameterization strategies for hidden Markov models and Bayesian approaches to maximum likelihood estimation

   • CHRISTIAN P. ROBERT
   • D. M. TITTERINGTON

   OriginalPaper Pages: 145 - 158

7. An efficient algorithm for finding the M most probable configurationsin probabilistic expert systems

   • D. NILSSON

   OriginalPaper Pages: 159 - 173