Apr 1, 2015

IMS Textbooks and Monographs

These two book series are published by Cambridge University Press on behalf of IMS. The volumes currently available are:

IMS Textbooks

Probability on Graphs. Geoffrey Grimmett
Bayesian Filtering and Smoothing. Simo Särkkä
Stochastic Networks. Frank Kelly and Elena Yudovina
The Surprising Mathematics of Longest Increasing Subsequences. Dan Romik
Noise Sensitivity of Boolean Functions and Percolation. Christophe Garban and Jeffrey Steif
Core statistics. Simon Wood

IMS Monographs

Large-scale Inference. Bradley Efron
Nonparametric Inference on Manifolds. Abhishek Bhattacharya and Rabi Bhattacharya
The Skew-normal and Related Families. Adelchi Azzalini (with Antonella Capitanio)
Case-control Studies. Ruth Keogh and David Cox

New proposals

The editors very much welcome new proposals. The preferred length of the books is 150–250 pages, although there are no rigid requirements. Proposals may be submitted at any stage; often it is helpful to supply the draft of a few chapters and a provisional outline of the whole. Any topic within the broad span of interests of members of IMS is potentially suitable. Please send your proposal to one or more of the Editors: David R. Cox david.cox@nuffield.ox.ac.uk; Ben Hambly hambly@math.ox.ac.uk; Susan Holmes susan@stat.stanford.edu; Jon Wellner jonw@uw.edu.

Discount for IMS members

As an IMS member you can order a discounted copy at http://www.cambridge.org/ims.

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