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Результат поиска |
Поиск книг, содержащих: Gibbs sampler
Книга | Страницы для поиска | Ross S.M. — Introduction to probability models | 214—217, 441—442 | Fishman G.S. — Monte Carlo: concepts, algorithms, and applications | 407 | Gustafsson F. — Adaptive filtering and change detection | 392 | Heyde C.C. — Quasi-likelihood and its application: a general approach to optimal parameter estimation | 201 | Clote P., Backofen R. — Computational Molecular Biology | 47—52, 312 | Honerkamp J. — Statistical Physics | 183 | Hastie T., Tibshirani R., Friedman J. — The Elements of Statistical Learning Data Mining, Inference and Prediction | 243—244 | Cappe O., Ryden T., Moulines E. — Inference in Hidden Markov Models | 180—182 | Ghosh Sujit K., Mallick Bani K., Dey Dipak K. — Generalized Linear Models: A Bayesian Perspective | 7, 36—37, 219 | Weickert J. — Visualization and Processing of Tensor Fields: Proceedings of the Dagstuhl Workshop | 389 | Katayama T., Sugimoto S. — Statistical Methods in Control and Signal Processing | 525, 528 | Berrar D.P., Dubitzky W., Granzow M. — Practical approach to microarray data analysis | 126 | Friedman J., Hastie T., Tibshirani R. — The Elements of Statistical Learning | 243—244 | Shanbhag D.N. (ed.), Rao C.R. (ed.) — Stochastic Processes - Modelling and Simulation | 340, 352, 353, 355, 357, 362, 365 | Hsiao C. — Analysis of panel data | 177—178 | Qiu P. — Image processing and jump regression analysis | 253 | Balakrishnan N. (ed.), Rao C.R. (ed.) — Advances in Reliability | 530 | Tarantola A. — Inverse problem theory and methods for model parameter estimation | 49 | Grimmett G., Stirzaker D. — Probability and Random Processes | 294 | Petrou M., Sevilla P.G. — Image Processing: Dealing with Texture | 227 | Kotz S. — Breakthroughs in Statistics (volume 3) | 125, 237, 542 | Gelman A., Carlin J.B., Stern H.S. — Bayesian data analysis | 287—289, 292, 294, 308—309 | Ripley B.D. — Stochastic Simulation | 115 | Honerkamp J. — Statistical physics: an advanced approach with applications | 183 |
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