EM Galore 

 Statistical Science has a new issue out dedicated to the  EM Algorithm , entitled  &#8220;Celebrating the EM Algorithm&#8217;s Quandunciacentennial&#8221; .  David Van Dyk  and  Xiao-Li Meng  are the guest editors. Here is the abstract from their (awesome looking) contribution, &#8220;Cross-Fertilizing Strategies for Better EM Mountain Climbing and DA Field Exploration: A Graphical Guide Book&#8221;: 

 
   In recent years, a variety of extensions and refinements have been developed for data augmentation based model fitting routines. These developments aim to extend the application, improve the speed and/or simplify the implementation of data augmentation methods, such as the deterministic EM algorithm for mode finding and stochastic Gibbs sampler and other auxiliary-variable based methods for posterior sampling. In this overview article we graphically illustrate and compare a number of these extensions, all of which aim to maintain the simplicity and computation stability of their predecessors. We particularly emphasize the usefulness of identifying similarities between the deterministic and stochastic counterparts as we seek more efficient computational strategies. We also demonstrate the applicability of data augmentation methods for handling complex models with highly hierarchical structure, using a high-energy high-resolution spectral imaging model for data from satellite telescopes, such as the  Chandra X-ray Observatory . 
 

 You can find most of the papers on arXiv, using a  simple search . A quick Google search for &#8220;Quandunciacentennial&#8221; yields no hits. Any one know the etymology there? Some reference to 34 that I&#8217;m missing?