Peter Bubenik

  1. Simplicial models for concurrency.

    Authors: Peter Bubenik
    Subjects: and Cluster Computing, Distributed, Parallel
    Abstract

    We model both concurrent programs and the possible executions from one state
    to another in a concurrent program using simplices. The latter are calculated
    using necklaces of simplices in the former. For these models, the appropriate
    setting is the not the traditional approach to simplicial sets, but a more
    recent one due to Joyal.

  2. Statistical topology via Morse theory, persistence and nonparametric estimation.

    Authors: Peter Bubenik, Gunnar Carlsson, Peter T. Kim, Zhiming Luo
    Subjects: gr. Statistics
    Abstract

    In this paper we examine the use of topological methods for multivariate
    statistics. Using persistent homology from computational algebraic topology, a
    random sample is used to construct estimators of persistent homology. This
    estimation procedure can then be evaluated using the bottleneck distance
    between the estimated persistent homology and the true persistent homology. The
    connection to statistics comes from the fact that when viewed as a
    nonparametric regression problem, the bottleneck distance is bounded by the
    sup-norm loss.

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