The Geometric Statistics Research Group is part of the Computational Statistics and Machine Learning research theme based at the Department of Statistical Science, University College London.

Our focus is on statistical methods that recognize and exploit the geometric structure of data and parameters.

  • Principal component analysis for zero-inflated compositional data

    Dr Jaesung Park presents his work hosted by the geometric statistics research group on July 2nd, 2025. Abstract: Recent advances in DNA sequencing technology have led to a growing interest in microbiome data. Since the data are often high-dimensional, there is a clear need for dimensionality reduction. However, the compositional nature and zero-inflation of microbiome data present many…