maximum likehood estimators; robust estimators; computational statistics; hidden Markov models (HMM); Monte-Carlo methods (MCMC); data calibration; data mining in functional genomics; experimental design in functional spaces; remote sensing.
Subject:
Robustness of optimal experimental designes at use of Huber's M-estimators is proved. Some analogues of Kiefer–Wolfowitz inequality in the problems of experimental design for Banach spaces are found. The advanced ANOVA scheme was applied to mRNA expression data.
Biography
I graduated from St. Petersburg University in Russia (1980), Dept. of Mathematics and Mechanics (Statistical Simulations chair), and I work in the Russian Academy of Sciences (1985–1989 and since 1993 till now as a senior researcher), St. Petersburg Branch of P. P. Shirshov Institute of Oceanology; 1999–2001 — Postdoctoral Fellow, Functional Genomics Area (FGA/LSI), Novartis Pharma AG, Basel (Switzerland). Main objective: statistical analysis of mRNA data. Ph. D. degree — 1996. Senior Researcher Rank — 1998. Author of more than 40 papers.
Main publications:
Zolotukhin I. V., Lange J. Application of analysis of variance schemes to expression data // Proc. German Conf. Bioinf. Berlin (Germany): Logos-Verlag, 2001, 159–166.
Zolotukhin I. V. Asymptotic properties of regression parameters M-estimators and their applications to the optimal design of experiments // First World Congress of Bernoulli Society. V. 1 M., 1986, 125.
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