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Books on the topic 'Bayesian belief network'

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Author: Grafiati
Published: 4 June 2021
Last updated: 20 February 2023

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1

Pershad, Rinku. A Bayesian belief network for corporate credit risk assessment. Ottawa: National Library of Canada, 2000.

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2

Brian S. G. E. Sahely. Development of a bayesian belief network for anaerobic wastewater treatment. Ottawa: National Library of Canada, 2000.

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3

Social capital modeling in virtual communities: Bayesian belief network approaches. Hershey, PA: Information Science Reference, 2009.

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4

Marshall, Adele Heather. Bayesian belief networks using conditional phase-type distibutions. [s.l: The Author], 2001.

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5

Ibrahimovi, Semir, Nijaz Bajgori, and Lejla Turulja. Maximizing Information System Availability Through Bayesian Belief Network Approaches: Emerging Research and Opportunities. IGI Global, 2017.

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6

A, Gammerman, and UNICOM Seminars, eds. Probabilistic reasoning and Bayesian belief networks. Henley-on-Thames: Alfred Waller in association with UNICOM, 1995.

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7

Ramoni, Marco, and Paolo Sebastiani. Theory and Practice of Bayesian Belief Networks. A Hodder Arnold Publication, 2001.

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8

Applying Bayesian Belief Networks in Sun Tzu's Art of War. Storming Media, 2004.

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9

Probabilistic Reasoning and Bayesian Belief Networks (UNICOM - Information & Communications Technology). Nelson Thornes Ltd, 1998.

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10

Strategic Economic Decisionmaking Using Bayesian Belief Networks To Solve Complex Problems. Springer-Verlag New York Inc., 2012.

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11

(Editor), Alexander Gammerman, J. G. Taylor (Editor), and V. Rayward-Smith (Editor), eds. Probabilistic Reasoning and Bayesian Belief Networks / Neural Networks / Applications of Modern Heuristic Methods. Alfred Waller, 1994.

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12

Grover, Jeff. Strategic Economic Decision-Making: Using Bayesian Belief Networks to Solve Complex Problems. Springer, 2012.

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13

Grover, Jeff. The Manual of Strategic Economic Decision Making: Using Bayesian Belief Networks to Solve Complex Problems. Springer, 2018.

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14

Grover, Jeff. The Manual of Strategic Economic Decision Making: Using Bayesian Belief Networks to Solve Complex Problems. Springer, 2017.

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15

Donovan, Therese, and Ruth M. Mickey. Bayesian Statistics for Beginners. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780198841296.001.0001.

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Bayesian Statistics for Beginners is an entry-level book on Bayesian statistics. It is like no other math book you’ve read. It is written for readers who do not have advanced degrees in mathematics and who may struggle with mathematical notation, yet need to understand the basics of Bayesian inference for scientific investigations. Intended as a “quick read,” the entire book is written as an informal, humorous conversation between the reader and writer—a natural way to present material for those new to Bayesian inference. The most impressive feature of the book is the sheer length of the journey, from introductory probability to Bayesian inference and applications, including Markov Chain Monte Carlo approaches for parameter estimation, Bayesian belief networks, and decision trees. Detailed examples in each chapter contribute a great deal, where Bayes’ Theorem is at the front and center with transparent, step-by-step calculations. A vast amount of material is covered in a lighthearted manner; the journey is relatively pain-free. The book is intended to jump-start a reader’s understanding of probability, inference, and statistical vocabulary that will set the stage for continued learning. Other features include multiple links to web-based material, an annotated bibliography, and detailed, step-by-step appendices.
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16

Tang, Zhong. Developing complete conditional probability tables from fractional data for Bayesian belief networks in engineering decision making. 2005.

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17

G, Williams James, and Allen Kent. Encyclopedia of Computer Science and Technology: Volume 41 - Supplement 26 - Application of Bayesan Belief Networks to Highway Construction to Virtual Reality Software and Technology. Taylor & Francis Group, 2021.

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18

G, Williams James, and Allen Kent. Encyclopedia of Computer Science and Technology: Volume 41 - Supplement 26 - Application of Bayesan Belief Networks to Highway Construction to Virtual Reality Software and Technology. Taylor & Francis Group, 2021.

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G, Williams James, and Allen Kent. Encyclopedia of Computer Science and Technology: Volume 41 - Supplement 26 - Application of Bayesan Belief Networks to Highway Construction to Virtual Reality Software and Technology. Taylor & Francis Group, 2021.

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20

Encyclopedia of Computer Science and Technology: Volume 41 - Supplement 26 - Application of Bayesan Belief Networks to Highway Construction to Virtual ... of Computer Science and Technology). CRC, 1999.

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