Statistics and Computing

, Volume 27, Issue 1, pp 1–1 | Cite as

Editor’s note: special section on Bayesian Nonparametrics


The Statistics and Computing journal gratefully acknowledges the editorial work of the following scholars on this special section “Bayesian Nonparametrics”:

Tamara Broderick, MIT

Peter Mueller University of Texas, Austin

Katherine Heller, Duke University

The three papers in this section include:
  • A moment-matching Ferguson & Klass algorithm, Julyan Arbel, Igor Prünster

  • Fast approximate Bayesian computation for estimating parameters in differential equations, Sanmitra Ghosh, Srinandan Dasmahapatra, Koushik Maharatna

  • Computationally tractable approximate and smoothed Polya trees, William Cipolli III, Timothy Hanson

Copyright information

© Springer Science+Business Media New York 2016

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