2 papers
math.ST2026
Discrete-time, discrete-state multistate Markov models from the perspective of algebraic statistics
Dario Gasbarra, Kaie Kubjas, Sangita Kulathinal +3
We study discrete-time, discrete-state multistate Markov models from the perspective of algebraic statistics. These models are widely studied in event history analysis, and are cha…
stat.ME2025
Estimating Transition Rates in Two-State Non-Homogeneous Markov Jump Processes with Intermittent Observations: A Pseudo-Marginal McMC Approach via Honest Times
Dario Gasbarra, Sangita Kulathinal, Etienne Sebag
A possibly time-dependent transition intensity matrix or generator characterizes the law of a Markov jump process (MP). For a time homogeneous MP, the transition probabili…