A Festschrift for Herman Rubin |
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2000 subject classifications admissibility algorithm AMS 2000 subject analysis applications asymptotic Axiom Bayes estimator Bayesian Bernoulli bounded characteristic function compute condition converges convex convex sets Corollary database defined denote density dimension tables equation example exponential finite fractional Brownian motion gini index given hash table improper prior independent inequality Institute of Mathematical interval Itô leaf_num Lemma likelihood ratio linear LRn,m Markov chain Markov processes martingale Math Mathematical Statistics Lecture maximum likelihood estimator measure method minimax Minimax estimation Monograph Series Vol multivariate MWLE normal distribution observations obtain paper parameter space Poisson Prakasa Rao prior probability problem proof of Theorem properties Proposition Q-Q plot random variables sample Section sequence Shanbhag squared error loss Statistics Lecture Notes stochastic integral stochastic processes subset symmetric theory variance vector Zidek
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Page 375 - R. Agrawal, S. Ghosh, T. Imielinski, B. Iyer, and A.. Swami. An Interval Classifier for Database Mining Applications.
Page 21 - University of New Brunswick, PO Box 4400, Fredericton, NB Canada, E3B 5A3 67 to ultimate panel strength under in-plane, horizontal loading applied at roof level.
Page 408 - Science, and the American Association for the Advancement of Science, as well as a member of other professional associations.
Page 227 - A Note on Taking a Covariable into Account Hans K. Ury Use of a Regression Technique to Produce Area Breakdowns of the Monthly National Estimates of Retail Trade Ralph W. Woodruff Producer and Consumer Risks for...
Page 376 - Kearns, and Y. Mansour. Applying the weak learning framework to understand and improve C4.5. In Proceedings of the 13th International Conference on Machine Learning, pages 96-104.
Page 348 - Data mining is the process of extracting valid, previously unknown, comprehensible, and actionable information from large databases and using it to make crucial business decisions.
Page 375 - In Proceedings of the 2nd International Conference on Knowledge Discovery in Databases and Data Mining, Portland, Oregon, USA.
Page 248 - Sur la liaison et la division des points d'un ensemble fini,
Page 78 - Zur Theorie der stochastichen Prozesse (Existenz-und Eindeutigkeitssatze)" [Math. Ann. 113, 1936]. In these papers I saw a powerful analytic method to study the transition probabilities of the process, namely Kolmogorov's parabolic equation and its extension by Feller. But I wanted to study the paths of Markov processes in the same way as Levy observed differential processes. Observing the intuitive background in which Kolmogorov derived his equation (explained in the Introduction of the paper),...
Page 385 - This research was supported by a grant from the Natural Science and Engineering Research Council of Canada.