Algebraic Statistics and Computational Biology

Oct 26, 2007 1 Replies

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):



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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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