Algebraic Statistics and Computational Biology

Dear all,
We are circulating the table of contents of the Oct. 2007 issue of Statistica Sinica, and very delighted to present eight theme articles
on Algebraic Statistics intended for an emerging interdisciplinary research field between statistics and mathematics. We also have a historical review of this field by Professor Stephen Fienberg. Anyone who is interested in or working on this topic might wantto download the review article at (click on the current issue):
http://www.stat.sinica.edu.tw/statistica /
Sincerely, Karen Li --- on behalf of the Co-Editors Editorial Assistant ---------------------------------------------------------------------------------------------- EDITOR'S MELANGE
Highlights Algebraic statistics: a new bridge between statistics and mathematics Mathias Drton, Seth Sullivant, Chun-Houh Chen, Vanja Dukic and Jun Liu
Editorial Expanding the statistical toolkit with algebraic statistics Stephen E. Fienberg
ALGEBRAIC STATISTICS AND COMPUTATIONAL BIOLOGY
Algebraic statistical models Mathias Drton and Seth Sullivant
Molecular phylogenetics from an algebraic viewpoint Elizabeth S. Allman and John A. Rhodes
Epistasis and shapes of fitness landscapes Niko Beerenwinkel, Lior Pachter and Bernd Sturmfels
Counting and locating the solutions of polynomial systems of maximum likelihood equations, II: The Behrens-Fisher problem Max-Louis G. Buot, Serkan Hosten and Donald St. P. Richards
Algebraic Bayesian analysis of contingency tables with possibly zero- probability cells Guido Consonni and Giovanni Pistone
Contingency tables of network type: models, Markov basis and applications Lawrence H. Cox
Bounds on the number of inference functions of a graphical model Sergi Elizalde and Kevin Woods
On the description and identifiability analysis of experiments with mixtures Hugo Maruri-Aguilar, Roberto Notari and Eva Riccomagno
GENERAL
Exact tests for negligible interaction in two-way analysis of variance/ covariance Bin Cheng and Jun Shao
Bivariate hard thresholding in wavelet function estimation Piotr Fryzlewicz
Blind deconvolution and deblurring in image analysis Peter Hall and Peihua Qiu
Two-sample tests in functional data analysis starting from discrete data Peter Hall and Ingrid Van Keilegom
Least absolute deviations estimation for the accelerated failure time model Jian Huang, Shuangge Ma and Huiliang Xie
Adaptive designs for stochastic root-finding V. Roshan Joseph, Yubin Tian and C. F. Jeff Wu
Designed extension of survival studies: application to clinical trials with unrecognized heterogeneity Yi Li, Mei-Chiung Shih and Rebecca A. Betensky
Estimating the number of species with multiple incidence-based subsamples Chang Xuan Mao
Large sample properties of shape restricted regression estimators with smoothness adjustments Jayanta Kumar Pal and Michael Woodroofe
Asymptotics of sample eigenstructure for a large dimensional spiked covariance model Debashis Paul
Comparison between estimates of the hypothetical proportion with and without standardization for a non-confounder Xueli Wang, Zhi Geng, Qiang Zhao and Qi Qiao
Transformed partial least squares for multivariate data Li-Xing Zhu, Li-Ping Zhu and Xin Li
RESEARCH EXCHANGES
A note on smoothed functional inverse regression Liliana Forzani and R. Dennis Cook
Reply to the paper by Liliana Forzani and R. Dennis Cook, "A note on smoothed functional inverse regression" L. Ferre and A. F. Yao
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"emerging interdisciplinary research field between statistics and mathematics"
So statistics and mathematics are two separate disciplines? Interesting.
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