Second-Order Properties for Planar Mondrian Tessellations

Author:

Betken Carina,Kaufmann Tom,Meier Kathrin,Thäle Christoph

Abstract

AbstractIn this paper planar STIT tessellations with weighted axis-parallel cutting directions are considered. They are known also as weighted planar Mondrian tessellations in the machine learning literature, where they are used in random forest learning and kernel methods. Various second-order properties of such random tessellations are derived, in particular, explicit formulas are obtained for suitably adapted versions of the pair- and cross-correlation functions of the length measure on the edge skeleton and the vertex point process. Also, explicit formulas and the asymptotic behaviour of variances are discussed in detail.

Funder

Ruhr-Universität Bochum

Publisher

Springer Science and Business Media LLC

Subject

General Mathematics,Statistics and Probability

Reference15 articles.

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3. Ge S, Wang S, Teh YW, Wang L, Elliott L (2019) Random tessellation forests, vol 32. In: Advances in Neural Information Processing Systems. Curran Associates, Inc

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5. Lakshminarayanan B, Roy DM, Teh YW (2016) Mondrian forests for large-scale regression when uncertainty matters. In: Artificial Intelligence and Statistics. PMLR, pp 1478–1487

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