1. Improving flexibility and efficiency by adding parallelism to genetic algorithms

   • Enrique Alba
   • José M. Troya

   OriginalPaper Pages: 91 - 114

2. Steepest descent algorithms in a space of measures

   • Ilya Molchanov
   • Sergei Zuyev

   OriginalPaper Pages: 115 - 123

3. Simulation-based inference for simultaneous processes on regular lattices

   • Xavier De Luna
   • Marc G. Genton

   OriginalPaper Pages: 125 - 134

4. GIPSCAL revisited. A projected gradient approach

   • Nickolay T. Trendafilov

   OriginalPaper Pages: 135 - 145

5. Hybrid methods for calculating optimal few-stage sequential strategies: Data monitoring for a clinical trial

   • Joseph B. Kadane
   • Pantelis K. Vlachos

   OriginalPaper Pages: 147 - 152

6. Latent variable techniques for categorical data

   • Gillian Lancaster
   • Mick Green

   OriginalPaper Pages: 153 - 161

7. A general maximum likelihood analysis of measurement error in generalized linear models

   • Murray Aitkin
   • Roberto Rocci

   OriginalPaper Pages: 163 - 174

8. Analysis of generalized linear mixed models via a stochastic approximation algorithm with Markov chain Monte-Carlo method

   • Hong-Tu Zhu
   • Sik-Yum Lee

   OriginalPaper Pages: 175 - 183