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Estimating Product Cannibalisation in Wholesale using Multivariate Hawkes Processes with Inhibition

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arxiv 2201.05009 v2 pith:RG6G435M submitted 2022-01-13 stat.AP stat.ME

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keywords productcannibalisationhawkesinhibitionconditionscross-inhibitionmultivariateprocess
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Product cannibalisation in the marketplace refers to the decrease in the sales of one product due to competition from another product. We examine this phenomenon in a wholesale data set provided by an international company. We use a multivariate Hawkes process where each product is represented by a dimension, with cross-inhibition effects that model product cannibalisation. To implement the Hawkes process with inhibition we resolve challenges regarding the integration of the intensity function and introduce a new, stronger conditions for stability as existing conditions are unnecessarily strict under inhibition. We conduct our analysis in a Bayesian framework, for which we design a dimension-independent prior on the cross-inhibition based on a reparametrisation.

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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Loglinear Hawkes processes

    math.PR 2025-07 conditional novelty 6.0 of 10

    The paper proves explosion and nonexplosion criteria for exponential-transform Hawkes processes and establishes stability for nonpositive memory functions.

  2. Advances in Temporal Point Processes: Bayesian, Neural, and LLM Approaches

    cs.LG 2025-01 conditional novelty 4.0 of 10

    A literature review that groups recent temporal point process research into Bayesian, neural, and LLM-based approaches and catalogs training, applications, and open challenges.

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