Finite mixture models are a useful class of models for application to data. When sample sizes are not large and the number of underlying densities is in question, likelihood ratio tests based on joint ...

We introduce novel regression extrapolation based methods to correct the often large bias in subsampling variance estimation as well as hypothesis testing for spatial point and marked point processes.

The course provides a precise and accurate treatment of statistical ideas, methods and techniques. Topics covered are sampling distributions of statistics, point estimation, interval estimation, ...

Abstract: This paper offers a new approach to estimate countries’ de facto exchange rate regimes, a synthesis of two techniques. One is a technique that the authors have used in the past to estimate ...