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stat.CO2024
A Bayesian approach for fitting semi-Markov mixture models of cancer latency to individual-level data
Raphael Morsomme, Shannon Holloway, Marc Ryser +1
Multi-state models of cancer natural history are widely used for designing and evaluating cancer early detection strategies. Calibrating such models against longitudinal data from…
stat.ME2024
Bridged Posterior: Optimization, Profile Likelihood and a New Approach to Generalized Bayes
Cheng Zeng, Eleni Dilma, Jason Xu +1
Optimization is widely used in statistics, and often efficiently delivers point estimates on useful spaces involving structural constraints or combinatorial structure. To quantify…