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Multi-planet systems produce a wealth of information for exoplanet science,but our understanding of planetary architectures is incomplete. Probing thesesystems further will provide insight into orbital architectures and formationpathways. Here we present a model to predict previously undetected planets inthese systems via population statistics. The model considers both transitingand non-transiting planets, and can test the addition of more than one planet.Our tests show the model's orbital period predictions are robust toperturbations in system architectures on the order of a few percent, muchlarger than current uncertainties. Applying it to the multi-planet systems fromTESS provides a prioritized list of targets, based on predicted transit depthand probability, for archival searches and for guiding ground-based follow-upobservations hunting for hidden planets.

Hidden Worlds: Dynamical Architecture Predictions of Undetected Planets in Multi-planet Systems and Applications to TESS Systems