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The ASEP and Determinantal Point Processes
Published 2021“…The proofs are based on limit transitions for the corresponding determinantal point processes.…”
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Kronecker determinantal point processes
Published 2021“…© 2016 NIPS Foundation - All Rights Reserved. Determinantal Point Processes (DPPs) are probabilistic models over all subsets a ground set of N items. …”
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Kronecker determinantal point processes
Published 2022“…© 2016 NIPS Foundation - All Rights Reserved. Determinantal Point Processes (DPPs) are probabilistic models over all subsets a ground set of N items. …”
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Latent point process allocation
Published 2016“…We show that the model brings a means of incorporating structure in point process inference beyond the state-of-the-art. …”
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On Statistical Analysis of Compound Point Process
Published 2016-04-01“…The contribution deals with a stochastic process cumulating random increments at random moments (the compound point process). First, its martingale - compensator decomposition is recalled. …”
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Exponential Inequality of Marked Point Processes
Published 2023-02-01Subjects: “…marked point processes…”
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Poisson approximation of binomial point processes
Published 2024-01-01“…In this article, we use the Poisson approximation to study the limit distributions of functionals generated by aninhomogeneous binomial point process.…”
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Deterministic walk on Poisson point process
Published 2017-01-01“…A deterministic walk on a Poisson point process in Rd is an oriented graph where each point of the process is connected to only one other point following a deterministic and stationary rule of connection. …”
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Likelihood Methods for Point Processes with Refractoriness
Published 2014“…Likelihood-based encoding models founded on point processes have received significant attention in the literature because of their ability to reveal the information encoded by spiking neural populations. …”
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