The Automatic Generation of One- and Multi-dimensional Distributions with Transformed Density Rejection

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Abstract

A rejection algorithm, called ``transformed density rejection", is presented. It uses a new method for constructing simple hat functions for a unimodal density $f$. It is based on the idea of transforming $f$ with a suitable transformation $T$ such that $T(f(x))$ is concave. The hat function is then constructed by taking the pointwise minimum of tangents which are transformed back to the original scale. The resulting algorithm works very well for a large class of distributions and is fast. The method is also extended to the two- and multidimensional case. (author's abstract)

Publication series

SeriesPreprint Series / Department of Applied Statistics and Data Processing
Number20

WU Working Papes and Cases

  • Preprint Series / Department of Applied Statistics and Data Processing

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