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Ditemukan 5 dokumen yang sesuai dengan query
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Lindley, D.V., author
A study of those statistical ideas that use a probability distribution over parameter space. The first part describes the axiomatic basis in the concept of coherence and the implications of this for sampling theory statistics. The second part discusses the use of Bayesian ideas in many branches of statistics...
Philadelphia: Society for Industrial and Applied Mathematics, 1995
e20451236
eBooks  Universitas Indonesia Library
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Koller, Daphne, author
Cambridge, UK: MIT Press, 2009
519.542 KOL p
Buku Teks  Universitas Indonesia Library
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Prescriptive Bayesian decision making has reached a high level of maturity and is well-supported algorithmically. However, experimental data shows that real decision makers choose such Bayes-optimal decisions surprisingly infrequently, often making decisions that are badly sub-optimal. So prevalent is such imperfect decision-making that it should be accepted as an inherent...
Berlin: [Springer, ], 2012
e20398180
eBooks  Universitas Indonesia Library
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Lee, Herbert K.H., author
Bayesian Nonparametrics via Neural Networks is the first book to focus on neural networks in the context of nonparametric regression and classification, working within the Bayesian paradigm. Its goal is to demystify neural networks, putting them firmly in a statistical context rather than treating them as a black box. This...
Philadelphia: Society for Industrial and Applied Mathematics, 2004
e20448023
eBooks  Universitas Indonesia Library
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Irvina Kamalitha Zunaidi, author
ABSTRAK
Data bawah permukaan merupakan data yang sangat dibutuhkan dalam menentukan besar cadangan hidrokarbon di Indonesia. Selain itu, kualitas dari cadangan itu sendiri menentukan perkembangan industri migas kedepannya. Pemerintah telah secara agresif mendorong penggunaan gas alam dan saat ini pemerintah belum memiliki data mengenai cadangan gas secara efisien. Oleh karena itu,...
2019
T54521
UI - Tesis (Membership)  Universitas Indonesia Library