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stat.CO2024
Practical and Scalable Hamiltonian Monte Carlo Without the Metropolis Test
Jakob Robnik, Reuben Cohn-Gordon, Uroš Seljak
Hamiltonian Monte Carlo and underdamped Langevin Monte Carlo are leading methods for sampling from high-dimensional distributions with differentiable densities. Both rely on numeri…
astro-ph.GA2024
Periodicity significance testing with null-signal templates: reassessment of PTF's SMBH binary candidates
Jakob Robnik, Adrian E. Bayer, Maria Charisi +3
Periodograms are widely employed for identifying periodicity in time series data, yet they often struggle to accurately quantify the statistical significance of detected periodic s…