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Dynamic Bayesian forecasting models of football match outcomes with estimation of the evolution variance parameter
Alun Owen
School of Computing, Electronics and Maths
Research output
:
Contribution to journal
›
Article
›
peer-review
25
Citations (Scopus)
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Dive into the research topics of 'Dynamic Bayesian forecasting models of football match outcomes with estimation of the evolution variance parameter'. Together they form a unique fingerprint.
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Mathematics
Dynamic Linear Models
80%
Forecasting
73%
Generalized Linear Model
68%
Model
21%
Potential Outcomes
16%
WinBUGS
15%
Context
13%
Ranking
10%
Market
10%
Bayesian Approach
10%
Statistical Model
10%
Parameter Estimation
9%
Software
9%
Vary
9%
Prediction
8%
Performance
6%
Business & Economics
Bayesian Forecasting
100%
Generalized Linear Model
85%
Football
69%
Statistical Model
14%
Betting Markets
14%
Soccer
12%
Parameter Estimation
12%
Bayesian Approach
11%
Ranking
11%
Prediction
8%
Software
7%
Engineering & Materials Science
Football
72%
Parameter estimation
5%
Statistical Models
5%