Process monitoring using maximum sequence divergence

Monitoring wet and dry process using precipitation changes

Variance of sequence divergence.

Golding (1983) derives the variance of a quantity, D, which is a population measure of divergence. He considers the divergence of two populations that have been isolated for t generations. Golding finds that the variance of D, under a neutral model, is less than the binomial variance that is commonly assumed as the variance of divergence. We are concerned that Golding’s results could be misinte...

Duality of Maximum Entropy and Minimum Divergence

We discuss a special class of generalized divergence measures by the use of generator functions. Any divergence measure in the class is separated into the difference between cross and diagonal entropy. The diagonal entropy measure in the class associates with a model of maximum entropy distributions; the divergence measure leads to statistical estimation via minimization, for arbitrarily giving...

A Maximum Entropy/minimum Divergence Translation Model

I present empirical comparisons between a standard statistical translation model and an equivalent Maximum Entropy/Minimum Divergence (MEMD) model, using several diierent methods for automatic feature selection. Results show that the MEMD model signiicantly outperforms the standard model in test corpus perplexity, even though it has far fewer parameters.

A Maximum Entropy/Minimum Divergence Translation Model

I present empirical comparisons between a linear combination of standard statistical language and translation models and an equivalent Maximum Entropy/Minimum Divergence (MEMD) model, using several diierent methods for automatic feature selection. The MEMD model signiicantly outperforms the standard model in test corpus per-plexity, even though it has far fewer parameters.