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wyszukanych pozycji: 3
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Mathematical Theory of Bayesian Statistics
ISBN: 9780367734817 / Angielski / Miękka / 2020 / 332 str. Termin realizacji zamówienia: ok. 22 dni roboczych (Bez gwarancji dostawy przed świętami) |
cena:
268,23 |
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Mathematical Theory of Bayesian Statistics
ISBN: 9781482238068 / Angielski / Twarda / 2018 / 320 str. Termin realizacji zamówienia: ok. 22 dni roboczych (Bez gwarancji dostawy przed świętami) This book introduces the mathematical foundation of Bayesian statistics. It is well known that Bayesian inference is more accurate than the maximum likelihood method in many real-world problems: however, its mathematical foundations have been left unexplained. Recently, new research on Bayesian statistics uncovered the mathematical laws by which the behavior of Bayesian inference can be estimated and the advances of Bayes estimation have been clarified. This book introduces such mathematical foundations to students and researchers.
This book introduces the mathematical foundation of Bayesian statistics. It is well known that Bayesian inference is more accurate than the maximum... |
cena:
853,61 |
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Algebraic Geometry and Statistical Learning Theory
ISBN: 9780521864671 / Angielski / Twarda / 2009 / 298 str. Termin realizacji zamówienia: ok. 22 dni roboczych (Bez gwarancji dostawy przed świętami) Sure to be influential, Watanabe's book lays the foundations for the use of algebraic geometry in statistical learning theory. Many models/machines are singular: mixture models, neural networks, HMMs, Bayesian networks, stochastic context-free grammars are major examples. The theory achieved here underpins accurate estimation techniques in the presence of singularities.
Sure to be influential, Watanabe's book lays the foundations for the use of algebraic geometry in statistical learning theory. Many models/machines ar...
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cena:
375,98 |
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