Speciality:
11.00.08 (Oceanology)
Birth date:
01.03.1960
E-mail: Keywords: 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.
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.
