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Prediction theory

  • Algorithmic Learning in a Random Worldby Vladimir Vovk; Alexander Gammerman; Glenn Shafer

    Springer 2005; US$ 149.00

    This scientific monograph develops significant new algorithmic foundations in machine learning theory. Researchers and postgraduates in CS, statistics, and A.I. should find the book an authoritative and formal presentation of some of the most promising theoretical developments in machine learning. more...

  • Chaos and Forecastingby Howell Tong

    World Scientific Publishing Company 1995; US$ 75.00

    It is now generally recognised that very simple dynamical systems can produce apparently random behaviour. In the last couple of years, attention has turned to focus on the flip side of this coin: random-looking time series (or random-looking patterns in space) may indeed be the result of very complicated processes or “real noise”, but... more...

  • Probably Notby Lawrence N. Dworsky

    Wiley 2008; US$ 82.95

    An engaging, entertaining, and informative introduction to probability and prediction in our everyday lives Although Probably Not deals with probability and statistics, it is not heavily mathematical and is not filled with complex derivations, proofs, and theoretical problem sets. This book unveils the world of statistics through questions such as... more...

  • The Theory of Linear Predictionby P. P. Vaidyanathan

    Morgan & Claypool Publishers 2007; US$ 40.00

    Linear prediction theory has had a profound impact in the field of digital signal processing. Although the theory dates back to the early 1940s, its influence can still be seen in applications today. The theory is based on very elegant mathematics and leads to many beautiful insights into statistical signal processing. Although prediction is only a... more...

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