Data on 'neural coding' have frequently been analyzed using information-theoretic measures. These formulations involve the fundamental and generally difficult statistical problem of estimating entropy. We review briefly several methods that have been advanced to estimate entropy and highlight a method, the coverage-adjusted entropy estimator (CAE), due to Chao and Shen that appeared recently in...

Critical values and powers of competing tests are often evaluated through Monte Carlo simulations. Since the true levels of those tests are often very diierent, comparisons of the power estimates are not valid. We suggest that Monte Carlo estimates of critical values be used to create adjusted power estimates which are then comparable. The main contribution is to analyze the variability of the ...

Interval digraphs were introduced by West et all. They can be recognized in polynomial time and admit a characterization in terms of incidence matrices. Nevertheless, we do not have a forbidden structure characterization nor a low-degree polynomial time algorithm. We introduce a new class of ‘adjusted interval digraphs’, obtained by a slight change in the definition. By contrast, these digraphs...