Our NFL projection model forecasts each team’s chances of conquering their division, advancing in the playoffs and winning the Super Bowl.

In machine learning, deterministic and stochastic methods are utilised in different sectors based on their usefulness. A deterministic process believes that known average rates with no random ...

res = model.resid standard_dev = np.std(res) standard_dev As we have solved the simple linear regression problem with an OLS model, it is time to solve the same problem by formulating it with Maximum ...

We consider the detection and tracking of a target in a decentralized sensor network. The presence of the target is uncertain, and the sensor measurements are affected by clutter and missed detections ...

We consider the detection and tracking of a target in a decentralized sensor network. The presence of the target is uncertain, and the sensor measurements are affected by clutter and missed detections ...

regions of the parameter space, but the adjusted likelihood weights are better than both. 5. Concluding Remarks In this paper, we have considered model averaging in frequentist perspective; and ...

Original Article Published: 16 June 2010 Mapping quantitative trait loci using the MCMC procedure in SAS S Xu & Z Hu Heredity 106, 357–369 (2011) Cite this article ...