Dr. James McCaffrey of Microsoft Research uses a full code sample and screenshots to demonstrate how to create a naive Bayes classification system when the predictor values are numeric, using the C# ...

1 Introduction: Consequences of Numerical Inaccuracy 1 -- 1.1 Importance of Understanding Computational Statistics 1 -- 1.2 Brief History: Duhem to the Twenty-First Century 3 -- 1.3 Motivating Example ...

One of the main obstacles to the routine implementation of Bayesian methods has been the absence of efficient algorithms for carrying out the computational tasks implicit in the Bayesian approach. In ...

Journal of the Royal Statistical Society. Series D (The Statistician), Vol. 40, No. 4 (1991), pp. 365-372 (8 pages) A numerical approach to Bayesian prediction for the two-parameter Weibull ...

Parameter estimation in differential equation models is a critical endeavour in the mathematical modelling of dynamic systems. Such models, represented by ordinary differential equations (ODEs), ...

The Naive Bayes technique can be used for binary classification, for example predicting if a person is male or female based on predictors such as age, height, weight, and so on), or for multiclass ...