|
|
Результат поиска |
Поиск книг, содержащих: Bayesian inference
Книга | Страницы для поиска | Dietterich T.G., Becker S., Ghahramani Z. — Advances in neural information processing systems 14 (Vol. 1 and vol. 2) | 123, 213, 317, 471, 519, 657, 937, 1033 | Jurafsky D., Martin J.H. — Speech and Language Processing | 144, 145 | Rosenberger W.F., Lachin J.M. — Randomization in Clinical Trials : Theory and Practice | 91 | Johnson N., Kotz S., Kemp A.W. — Univariate discrete distributions | 57,125, 128—129, 169—170, 177, 215, 235 | Nickerson R. — Cognition and Chance The Psychology of Probabilistic Reasoning | 265, 266, 269, 270 | Suykens J.A.K., Horvath G., Basu S. — Advances in learning theory: methods, models and applications | 163, 276, 322 | Du D. (ed.), Pardalos P. (ed.) — Handbook of combinatorial optimization: supplement volume A | 245 | Takezawa K. — Introduction to Nonparametric Regression | 414 | Vapnik V.N. — The nature of statistical learning theory | 34 | Bernardo J.M., Smith A.F.M. — Bayesian Theory | see "Inference, Bayesian" | Chan T., Shen J. — Image Processing and Analysis: Variational, PDE, Wavelet, and Stochastic Methods | 62 | Gabbay D.M. (ed.), Guenthner F. (ed.) — Handbook of Philosophical Logic (Volume 13) | 105 | Wallace C.S. — Statistical and Inductive Inference by Minimum Message Length | 1, 35—40 | Grimmett G., Stirzaker D. — Probability and Random Processes | 292 | Suykens J.A.K. — Least Squares Support Vector Machines | 11, 121 | Maddala G.S. — Introduction to Econometrics | 21—22 | Little R.J.A., Rubin D.B. — Statistical analysis with missing data | 53, 84—88, 93, 104—107, 230—235, 244—265 | Walley P. — Statistical reasoning with imprecise probabilities | (see Inference, statistical) | Adams N.M. (ed.), Crowder M. (ed.), Hand D.J. (ed.) — Methods and Models in Statistics: In Honour of Professor John Nelder, FRS | 130 | Theodoridis S., Koutroumbas K. — Pattern recognition | 32 | Balakrishnan N., Rao C.R. — Handbook of Statistics (Vol. 17): Order Statistics: Applications | 3, 20 | Suykens J.A.K., Horvath G. — Advanced learning theory: methods, moduls and applications | 163, 276, 322 | Anderson T.W. (ed.), Fang K.T. (ed.), Olkin I. (ed.) — Multivariate Analysis and Its Applications | 211, 221, 263 | Berger J.O. — Statistical decision theory and bayesian analysis | 132 |
|
|