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1. Handbook of Markov Chain Monte Carlo

   Edited by Steve Brooks, Andrew Gelman, Galin Jones, Xiao-Li Meng

   Series: Chapman & Hall/CRC Handbooks of Modern Statistical Methods

   Since their popularization in the 1990s, Markov chain Monte Carlo (MCMC) methods have revolutionized statistical computing and have had an especially profound impact on the practice of Bayesian statistics. Furthermore, MCMC methods have enabled the development and use of intricate models in an...

   Published May 9th 2011 by Chapman and Hall/CRC
2. Bayesian Analysis for Population Ecology

   By Ruth King, Byron Morgan, Olivier Gimenez, Steve Brooks

   Series: Chapman & Hall/CRC Interdisciplinary Statistics

   Novel Statistical Tools for Conserving and Managing Populations By gathering information on key demographic parameters, scientists can often predict how populations will develop in the future and relate these parameters to external influences, such as global warming. Because of their ability to...

   Published October 29th 2009 by Chapman and Hall/CRC