collaborators

6 papers

math.ST2026

Optimal Estimating Equations for Compact-Memory Hawkes Processes

Louis Davis, Conor Kresin

Likelihood is standard for Hawkes-process inference, while less computationally demanding methods have largely developed separately. We show that least squares, Takács--Fiksel, an…

math.PR2026

Orientation in Poisson Cluster Processes via Imaginary Bispectra

Conor Kresin, Yifu Tang, Boris Baeumer +1

We study what remains detectable about one-sided Poisson cluster processes after cluster orientation is erased. We construct matched reversible cluster nulls preserving intensity a…

stat.ME2026

Causal inference for spatiotemporal point processes in the presence of outcome spillover and carryover

Conor Kresin, Duncan A. Clark, Louis Davis +1

We develop a framework for causal inference with continuous spatiotemporal point-process outcomes under cell-level interventions and outcome spillover. Potential outcomes are index…

math.ST2026

Spectral analysis of multivariate stationary Hawkes processes

Yifu Tang, Conor Kresin, Boris Baeumer +1

We establish the asymptotic validity of frequency-domain inference for stationary multivariate Hawkes processes under mild conditions, bridging the gap between theory and applicati…

stat.ME2026

A General Marked Point Process Framework For Self-Exciting Network Evolution

Duncan A Clark, Conor J. Kresin, Charlotte M. Jones-Todd

We propose a novel modeling framework for time-evolving networks allowing for long-term dependence in network features that update in continuous time. Dynamic network growth is fun…

stat.OT2025

Change Point Detection and Mean-Field Dynamics of Variable Productivity Hawkes Processes

Conor Kresin, Boris Baeumer, Sophie Phillips

Many self-exciting systems change because endogenous amplification, as opposed to exogenous forcing, varies. We study a Hawkes process with fixed background rate and kernel, but pi…