Statistical Constraints

Roberto Rossi; Steven Prestwich; S. Armagan Tarim

doi:10.3233/978-1-61499-419-0-777

Statistical Constraints

Roberto Rossi, Steven Prestwich, S. Armagan Tarim

Research output: Chapter in Book/Report/Conference proceeding › Chapter (peer-reviewed) › peer-review

Abstract / Description of output

We introduce statistical constraints, a declarative modelling tool that links statistics and constraint programming. We discuss two statistical constraints and some associated filtering algorithms. Finally, we illustrate applications to standard problems encountered in statistics and to a novel inspection scheduling problem in which the aim is to find inspection plans with desirable statistical properties.

Original language	English
Title of host publication	Frontiers in Artificial Intelligence and Applications
Subtitle of host publication	ECAI 2014
Editors	T. Schaub, G. Friedrich, B. O'Sullivan
Pages	777 - 782
Volume	263
ISBN (Electronic)	978-1-61499-419-0
DOIs	https://doi.org/10.3233/978-1-61499-419-0-777
Publication status	Published - 2014
Event	21st biennial European Conference on Artificial Intelligence ECAI-2014 - Prague, Czech Republic Duration: 18 Aug 2014 → 22 Aug 2014

Conference

Conference	21st biennial European Conference on Artificial Intelligence ECAI-2014
Country/Territory	Czech Republic
City	Prague
Period	18/08/14 → 22/08/14

Access to Document

10.3233/978-1-61499-419-0-777

Statistical Constraints
© Rossi, R., Prestwich, S., & Tarim, S. A. (2014). Statistical Constraints. In T. Schaub, G. Friedrich, & B. O'Sullivan (Eds.), Frontiers in Artificial Intelligence and Applications: ECAI 2014. (Vol. 263, pp. 777 - 782). 10.3233/978-1-61499-419-0-777
Final published version, 223 KBLicence: Creative Commons: Attribution (CC-BY)

http://arxiv.org/abs/1402.5161

Confidence-based optimization for inventory management at a local grocery store
Rossi, R. & Yao, X.
1/09/13 → 31/08/14
Project: University Awarded Project Funding

21st biennial European Conference on Artificial Intelligence ECAI-2014
Roberto Rossi (Speaker)
2014
Activity: Participating in or organising an event types › Participation in conference

Cite this

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title = "Statistical Constraints",

abstract = "We introduce statistical constraints, a declarative modelling tool that links statistics and constraint programming. We discuss two statistical constraints and some associated filtering algorithms. Finally, we illustrate applications to standard problems encountered in statistics and to a novel inspection scheduling problem in which the aim is to find inspection plans with desirable statistical properties.",

author = "Roberto Rossi and Steven Prestwich and Tarim, {S. Armagan}",

note = "This article is published online with Open Access by IOS Press and distributed under the terms of the Creative Commons Attribution Non-Commercial License.; 21st biennial European Conference on Artificial Intelligence ECAI-2014 ; Conference date: 18-08-2014 Through 22-08-2014",

year = "2014",

doi = "10.3233/978-1-61499-419-0-777",

language = "English",

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AU - Rossi, Roberto

AU - Prestwich, Steven

AU - Tarim, S. Armagan

N1 - This article is published online with Open Access by IOS Press and distributed under the terms of the Creative Commons Attribution Non-Commercial License.

PY - 2014

Y1 - 2014

N2 - We introduce statistical constraints, a declarative modelling tool that links statistics and constraint programming. We discuss two statistical constraints and some associated filtering algorithms. Finally, we illustrate applications to standard problems encountered in statistics and to a novel inspection scheduling problem in which the aim is to find inspection plans with desirable statistical properties.

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DO - 10.3233/978-1-61499-419-0-777

M3 - Chapter (peer-reviewed)

SN - 978-1-61499-418-3

VL - 263

SP - 777

EP - 782

BT - Frontiers in Artificial Intelligence and Applications

A2 - Schaub, T.

A2 - Friedrich, G.

A2 - O'Sullivan, B.

T2 - 21st biennial European Conference on Artificial Intelligence ECAI-2014

Y2 - 18 August 2014 through 22 August 2014

ER -

Statistical Constraints

Abstract / Description of output

Conference

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Projects

Confidence-based optimization for inventory management at a local grocery store

Activities

21st biennial European Conference on Artificial Intelligence ECAI-2014

Cite this