An Application of Response Surface Methodology to the Atari® Miniature Golf Video Game

Response surface methodology is used to optimize a player's performance on the Atari® Miniature Golf computer video game. Because of the nature of the fitted response surface, a direct optimization procedure is used to estimate the optimum operating conditions.     

A Note on Confidence Bands for the Logistic Response Curve

A problem in logit analysis is the interval estimation of the logistic response curve. Scheffé's method is used to obtain confidence bands for the logistic response function for any number of explanatory variables. This method is computationally easier and more general than a previously reported method.     

Following a moving target—Monte Carlo inference for dynamic Bayesian models

Markov chain Monte Carlo (MCMC) sampling is a numerically intensive simulation technique which has greatly improved the practicality of Bayesian inference and prediction. However, MCMC sampling is too slow to be of practical use in problems involving a large number of posterior (target) distributions, as in dynamic modelling and predictive model selection. Alternative simulation techniques for tracking moving target distributions, known as particle filters, which combine importance sampling, importance resampling and MCMC sampling, tend to suffer from a progressive degeneration as the target sequence evolves. We propose a new technique, based on these same simulation methodologies, which does not suffer from this progressive degeneration.