Bayesian networks and food security: an introduction

A. Stein

Bayesian networks and food security: an introduction

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Academic › peer-review

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Abstract

This paper gives an introduction to Bayesian networks. Networks are defined and put into a Bayesian context. Directed acyclical graphs play a crucial role here. Two simple examples from food security are addressed. Possible uses of Bayesian networks for implementation and further use in decision support are discussed.

Original language	English
Title of host publication	Bayesian Statistics and Quality Modelling in the Agro-Food Production Chain
Subtitle of host publication	Proceedings of the Frontis Workshop, Wageningen May 11-14, 2003
Editors	M.A.J.S. van Boekel, A. Stein, A.H.C. van Bruggen
Place of Publication	Dordrecht
Publisher	Kluwer Academic
Pages	107-115
ISBN (Print)	978-1-4020-1916-6, 978-1-4020-1917-3
Publication status	Published - 2004
Event	Frontis Workshop on Bayesian Statistics and Quality Modelling in the Agro-food Production Chain 2003 - Wageningen, Netherlands Duration: 1 May 2003 → 14 May 2003

Publication series

Name	Wageningen UR Frontis Series
Publisher	Kluwer
Volume	3

Workshop

Workshop	Frontis Workshop on Bayesian Statistics and Quality Modelling in the Agro-food Production Chain 2003
Country/Territory	Netherlands
City	Wageningen
Period	1/05/03 → 14/05/03

Keywords

ADLIB-ART-141
EOS

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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ArticleFinal published version, 58.8 KB

https://edepot.wur.nl/36479

Cite this

Stein, A. (2004). Bayesian networks and food security: an introduction. In M. A. J. S. van Boekel, A. Stein, & A. H. C. van Bruggen (Eds.), Bayesian Statistics and Quality Modelling in the Agro-Food Production Chain: Proceedings of the Frontis Workshop, Wageningen May 11-14, 2003 (pp. 107-115). (Wageningen UR Frontis Series; Vol. 3). Kluwer Academic. https://edepot.wur.nl/36479

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keywords = "ADLIB-ART-141, EOS",

author = "A. Stein",

year = "2004",

language = "English",

isbn = "978-1-4020-1916-6",

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editor = "{van Boekel}, M.A.J.S. and A. Stein and {van Bruggen}, A.H.C.",

booktitle = "Bayesian Statistics and Quality Modelling in the Agro-Food Production Chain",

note = "Frontis Workshop on Bayesian Statistics and Quality Modelling in the Agro-food Production Chain 2003 ; Conference date: 01-05-2003 Through 14-05-2003",

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Stein, A 2004, Bayesian networks and food security: an introduction. in MAJS van Boekel, A Stein & AHC van Bruggen (eds), Bayesian Statistics and Quality Modelling in the Agro-Food Production Chain: Proceedings of the Frontis Workshop, Wageningen May 11-14, 2003. Wageningen UR Frontis Series, vol. 3, Kluwer Academic, Dordrecht, pp. 107-115, Frontis Workshop on Bayesian Statistics and Quality Modelling in the Agro-food Production Chain 2003, Wageningen, Netherlands, 1/05/03. <https://edepot.wur.nl/36479>

Bayesian networks and food security: an introduction. / Stein, A.
Bayesian Statistics and Quality Modelling in the Agro-Food Production Chain: Proceedings of the Frontis Workshop, Wageningen May 11-14, 2003. ed. / M.A.J.S. van Boekel; A. Stein; A.H.C. van Bruggen. Dordrecht: Kluwer Academic, 2004. p. 107-115 (Wageningen UR Frontis Series; Vol. 3).

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Academic › peer-review

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AU - Stein, A.

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AB - This paper gives an introduction to Bayesian networks. Networks are defined and put into a Bayesian context. Directed acyclical graphs play a crucial role here. Two simple examples from food security are addressed. Possible uses of Bayesian networks for implementation and further use in decision support are discussed.

KW - ADLIB-ART-141

KW - EOS

M3 - Chapter

SN - 978-1-4020-1916-6

SN - 978-1-4020-1917-3

T3 - Wageningen UR Frontis Series

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BT - Bayesian Statistics and Quality Modelling in the Agro-Food Production Chain

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CY - Dordrecht

Y2 - 1 May 2003 through 14 May 2003

ER -

Bayesian networks and food security: an introduction

Abstract

Publication series

Workshop

Keywords

UN SDGs

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Cite this