Probabilistic graphical models : principles and techniques / Daphne Koller and Nir Friedman
Material type: TextLanguage: English Series: Adaptive computation and machine learningPublication details: Cambridge, MA : MIT Press, c2009. Description: xxi, 1231 p. : ill. ; 24 cmISBN: 9780262013192 Subject(s): Graphical modeling (Statistics) | Bayesian statistical decision theory -- Graphic methodsDDC classification: 519.5420285Item type | Current library | Home library | Call number | Status | Date due | Barcode | Item holds |
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Textbooks | Central Library, TU Textbook Section (Consult Shelf-Guide to locate the book) | Central Library, TU | 519.5420285 KOL (Browse shelf(Opens below)) | Checked out to PRAHLAD BORAH (CSP23111) | 24/11/2024 | 104357 |
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519.542 TAN Tools for statistical inference: methods for the exploration of posterior distri / | 519.542 WEI Statistical decision theory / | 519.542 WOO Biostatistics: a Bayesian introduction / | 519.5420285 KOL Probabilistic graphical models : | 519.544 21 LEH Theory Of Point Estimation / | 519.544 CHE Bootstrap methods: a guide for practitioners and researchers / | 519.544 EFR An Introduction to the Bootstrap / |
Includes bibliographical references and indexes.
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