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pi-ratings (Home). Updated on 26/01/2017
RankTeampi-rating
1Tottenham1.31
2Chelsea1.23
3Arsenal1.21
4Liverpool1.13
5Man City1.10
6Man United1.00
7Everton0.78
8Southampton0.77
9West Ham0.61
10Leicester0.48
11Stoke0.39
12West Brom0.36
13Middlesbrough0.11
14Swansea0.06
15Sunderland0.00
16Burnley0.00
17Crystal Palace-0.03
18Bournemouth-0.05
19Watford-0.13
20Hull-0.37
  

pi-ratings (Away). Updated on 26/01/2017
RankTeampi-rating
1Tottenham0.98
2Chelsea0.98
3Arsenal0.98
4Man City0.79
5Liverpool0.78
6Man United0.70
7Everton0.45
8Southampton0.39
9Leicester0.36
10West Brom0.26
11West Ham0.24
12Stoke0.17
13Swansea0.00
14Crystal Palace-0.02
15Bournemouth-0.06
16Burnley-0.11
17Middlesbrough-0.12
18Sunderland-0.23
19Watford-0.24
20Hull-0.43
  


About

   People involved in the Ph.D project (2009-2012)

Ph.D Student: Anthony Costa Constantinou: www.constantinou.info

Primary Supervision: Norman Fenton is a Professor of Computer Science at Queen Mary, University of London (QMUL) since 2000, where he teaches Software Engineering, he is the Head of the Risk Assessment and Decision Analysis Research group (RADAR) and also the Chief executive Officer of Agena Ltd, a company that specialises in risk management for critical systems. Norman's work typically involves analysing and predicting the probabilities of unknown events using Bayesian statistical methods including especially causal, probabilistic models. This type of reasoning enables improved assessment by taking account of both statistical data and also expert judgment.  Norman's experience in risk assessment covers a wide range of application domains such as legal reasoning (he has been an expert witness in major criminal and civil cases), medical trials, vehicle reliability, embedded software, transport systems, and financial services. Norman has a special interest in raising public awareness of the importance of probability theory and Bayesian reasoning in everyday life (including how to present such reasoning in simple lay terms). He has been a season ticket holder at Tottenham Hotspur for many years.

Secondary Supervision: Martin Neil is Professor in Computer Science and Statistics at the Department of Computer Science, Queen Mary, University of London, where he teaches decision and risk analysis and software engineering. Martin is also a joint founder and Chief Technology Officer of Agena Ltd, who develop and distribute AgenaRisk, a software product for modeling risk and uncertainty (Contact: martin@agena.co.uk) and a Visiting Professor in the Faculty of Engineering and Physical Sciences, University of Surrey. His interests cover Bayesian modeling and/or risk quantification in diverse areas: operational risk in finance, systems and design reliability (including software), software project risk, decision support, simulation (using dynamic discretisation as an alternative to Monte Carlo) cost benefit analysis, AI and personalization, and statistical learning. Martin has consulted to Motorola, Philips, NATS, QinetiQ, Advantica, DSTL (UK MOD), ABSA, Ericsson, Royal Bank of Canada, TNO and others, either providing advanced risk modeling expertise or systems deployment and integration using AgenaRisk. Before setting up Agena and joining academia Martin previously held senior positions with JP Morgan and Lloyds Register in the areas of software project governance and safety critical systems evaluation respectively.

pi-ratings (Overall). Updated on 26/01/2017
RankTeampi-rating
1Tottenham1.15
2Chelsea1.10
3Arsenal1.10
4Liverpool0.96
5Man City0.95
6Man United0.85
7Everton0.62
8Southampton0.58
9West Ham0.42
10Leicester0.42
11West Brom0.31
12Stoke0.28
13Swansea0.03
14Middlesbrough-0.01
15Crystal Palace-0.03
16Bournemouth-0.06
17Burnley-0.06
18Sunderland-0.11
19Watford-0.19
20Hull-0.40
  









Probability and Risk:  A blog by Prof. Norman Fenton

   
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