CONSTANTINOU.INFO

Personal Research Website of Anthony Costa Constantinou

My research interests lie in Bayesian Artificial Intelligence and uncertainty quantification for optimal real-world decision making. I apply my research to a wide range of areas including sports, economics, medicine and forensics, for both academic research and industrial organisations. I collaborate with organisations world-wide primarily in, but not limited to, the sports betting industry. We have 12 four-year PhD studentships. To start September 2018, offered through the EPSRC. In Health Data Science,...

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Anthony Constantinou

Anthony Constantinou

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Anthony Constantinou

Anthony Constantinou

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Anthony Constantinou

Anthony Constantinou

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LO●●ON , LONDON, E14 9DR

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co●●●●●●●●●●●●●@gmail.com

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Anthony Constantinou

Anthony Constantinou

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Personal Research Website of Anthony Costa Constantinou | constantinou.info Reviews

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My research interests lie in Bayesian Artificial Intelligence and uncertainty quantification for optimal real-world decision making. I apply my research to a wide range of areas including sports, economics, medicine and forensics, for both academic research and industrial organisations. I collaborate with organisations world-wide primarily in, but not limited to, the sports betting industry. We have 12 four-year PhD studentships. To start September 2018, offered through the EPSRC. In Health Data Science,...

<META> KEYWORDS

1 curriculum vitae

2 publications

3 projects

4 probabilistic brainteasers

5 monty hall

6 two coins bet

7 interactive calculators

8 risk of ruin

9 combinations and permutations

10 pi football com

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curriculum vitae,publications,projects,probabilistic brainteasers,monty hall,two coins bet,interactive calculators,risk of ruin,combinations and permutations,pi football com,open access here,lecturer assistant professor,decision science consultant

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Personal Research Website of Anthony Costa Constantinou | constantinou.info Reviews

https://constantinou.info

My research interests lie in Bayesian Artificial Intelligence and uncertainty quantification for optimal real-world decision making. I apply my research to a wide range of areas including sports, economics, medicine and forensics, for both academic research and industrial organisations. I collaborate with organisations world-wide primarily in, but not limited to, the sports betting industry. We have 12 four-year PhD studentships. To start September 2018, offered through the EPSRC. In Health Data Science,...

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constantinou.info

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Personal Research Website of Anthony Costa Constantinou

http://www.constantinou.info/twoCoinsBet.aspx

I flip two coins without allowing you to see the outcome. I then look at the coins and say that the outcome of at least one of the coins is heads. I then propose the following bet: if the outcome of both coins is heads I give you 1.5 and if the outcome of only one of them is heads you only give me 1. You may submit an answer:. No answer has been submitted. Published online, 19/02/2012. Designed, developed and maintained by Anthony C. Constantinou.

2

Personal Research Website of Anthony Costa Constantinou

http://www.constantinou.info/RiskOfRuin.aspx

And Hilton D. Miller. The probability is calculated given your current bankroll, the profit/win rate per trial/trade (or per minute/hour), and the standard deviation of the winnings. This is expressed as:. Is the Eulers Number 2.7182, b. Is the amount of money (bankroll) whose risk of losing you are evaluating, p. Is your profit ratio per trial and σ. Is the standard deviation of winnings. Profit rate per trial. Eg input of 0.10 for 10%). Standard Deviation of profit rate. With a bankroll of.

3

Personal Research Website of Anthony Costa Constantinou

http://www.constantinou.info/partAssoc.aspx

Reader in Artificial Intelligence at the University of Hertfordshire. Daniels interests lies in understanding and imitating the processes that allow animals and humans to take flexible decisions in a complex and difficult environment, and enable them to adapt to different conditions gracefully. Can we do so incorporating learning ability, without compromising generalization ability, without hand-coding all necessary rules into a system? Association: B.Sc and M.Sc. Association: Ph.D supervision.

4

Personal Research Website of Anthony Costa Constantinou

http://www.constantinou.info/publications.aspx

Publications are sorted by year of publication in subsections. Constantinou, A. C. Fenton, N., and Neil, M. (2016). Integrating expert knowledge with data in Bayesian networks: Preserving data-driven expectations when the expert variables remain unobserved. Expert Systems with Applications. 56: 197-208. [ draft. Constantinou, A. C. Artificial Intelligence in Medicine. Scussed in Prof. Fentons. Yet, B., Constantinou, A. C. Expert Systems with Applications,. CGIAR Water, Land and Ecosystems (WLE). Constant...

5

Personal Research Website of Anthony Costa Constantinou

http://www.constantinou.info/montyhall.aspx

THE MONTY HALL PROBLEM. You may submit an answer:. No answer has been submitted. Published online, 19/02/2012. Designed, developed and maintained by Anthony C. Constantinou.

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rim.eecs.qmul.ac.uk

Members

http://rim.eecs.qmul.ac.uk/index.php/members

RIM Group in new 2 million project using Bayesian networks to create intelligent medical decision support systems with real-time monitoring for chronic conditions. Queen Mary wins Leverhulme award for research into self-monitoring devices. Research Showcase, Queen Mary University of London 2016. Norman Fenton on the Hillsborough Inquest. Evangelia Kyrimi wins first prize for best poster at annual UK Meeting on Causal Inference. Anthony Constantinou to present BAYES-KNOWLEDGE work in Parliament.

pi-football.com

About pi-football.com

http://www.pi-football.com/About.aspx

Pi-ratings (Home). Updated on 20/06/2016. Pi-ratings (Away). Updated on 20/06/2016. People involved in the Ph.D project (2009-2012). PhD Student: Anthony Costa Constantinou. Primary Supervision: Norman Fenton. Secondary Supervision: Martin Neil. Pi-ratings (Overall). Updated on 20/06/2016. A blog by Prof. Norman Fenton. Optimised for Mozilla Firefox v11.0; C#.NET. Designed, developed and maintained by.

pi-football.com

Predictions for EPL Season 2011/12

http://www.pi-football.com/2011-12_predictions.aspx

Pi-ratings (Home). Updated on 20/06/2016. Pi-ratings (Away). Updated on 20/06/2016. Predictions for EPL Season 2011/12. The predictions for the EPL Season 2011/12 were generated using the pi-football model v2.48. The assessment with regards to the forecasting capability of this model is provided in [1]. Therefore, please consider citation [1] for referencing this dataset. Download in .csv format. Predictive Outcome Dataset for EPL Season 2011/12. Pi-ratings (Overall). Updated on 20/06/2016.

pi-football.com

Predictions for EPL Season 2010/11

http://www.pi-football.com/2010-11_predictions.aspx

Pi-ratings (Home). Updated on 20/06/2016. Pi-ratings (Away). Updated on 20/06/2016. Predictions for EPL Season 2010/11. The predictions for the EPL Season 2010/11 were generated using pi-football model v1.32. The assessment with regards to the forecasting capability of this model is provided in [1]. Therefore, please consider citation [1] for referencing this dataset. Download in .csv format. Predictive Outcome Dataset for EPL Season 2010/11. Pi-ratings (Overall). Updated on 20/06/2016.

pi-football.com

The development of pi-ratings since the EPL Season 1992/93

http://www.pi-football.com/pi-ratings.aspx

Pi-ratings (Home). Updated on 20/06/2016. Pi-ratings (Away). Updated on 20/06/2016. The graphs illustrate the development of the pi-ratings for the specified team and over the specified period. The pi-rating system determines the level of ability of football teams by dynamically rating the relative discrepancies in scores between adversaries. For rating definition see [1]. The development of the pi-ratings presented in this section assume the learning rates of lamda. A blog by Prof. Norman Fenton.

pi-football.com

Cumulative Points Assessment during the EPL Season 2010/11

http://www.pi-football.com/cumulativeP.aspx

Pi-ratings (Home). Updated on 20/06/2016. Pi-ratings (Away). Updated on 20/06/2016. The graphs illustrate the expected cumulative points, for the specified team, as predicted by pi-football in relation to the normalised market odds, against observed match results over the specified English Premier League season; a period of 380 match instances (38 for each team). Pi-ratings (Overall). Updated on 20/06/2016. A blog by Prof. Norman Fenton. Optimised for Mozilla Firefox v11.0; C#.NET.

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Personal Research Website of Anthony Costa Constantinou

My research interests lie in Bayesian Artificial Intelligence and uncertainty quantification for optimal real-world decision making. I apply my research to a wide range of areas including sports, economics, medicine and forensics, for both academic research and industrial organisations. I collaborate with organisations world-wide primarily in, but not limited to, the sports betting industry. We have 12 four-year PhD studentships. To start September 2018, offered through the EPSRC. In Health Data Science,...

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