Explains how Hilbert space techniques cross the boundaries into the foundations of probability and statistics. Focuses on the theory of martingales stochastic integration, interpolation and density estimation. Includes a copious amount of problems and examples.
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Christopher G. Small and Don L. McLeish are the authors of Hilbert Space Methods in Probability and Statistical Inference, published by Wiley.
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Hardcover. Condition: new. Hardcover. Explains how Hilbert space techniques cross the boundaries into the foundations of probability and statistics. Focuses on the theory of martingales stochastic integration, interpolation and density estimation. Includes a copious amount of problems and examples. Explains how Hilbert space techniques cross the boundaries into the foundations of probability and statistics. Focuses on the theory of martingales stochastic integration, interpolation and density estimation. Includes a copious amount of problems and examples. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9780471592815
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Condition: New. Explains how Hilbert space techniques cross the boundaries into the foundations of probability and statistics. Focuses on the theory of martingales stochastic integration, interpolation and density estimation. Includes a copious amount of problems and examp. Seller Inventory # 446917389
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Condition: New. Explains how Hilbert space techniques cross the boundaries into the foundations of probability and statistics. Focuses on the theory of martingales stochastic integration, interpolation and density estimation. Includes a copious amount of problems and examples. Series: Wiley Series in Probability and Statistics. Num Pages: 270 pages, Illustrations. BIC Classification: PBT. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 241 x 165 x 23. Weight in Grams: 520. . 1994. 1st Edition. Hardcover. . . . . Seller Inventory # V9780471592815
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