2025
Parameter estimation in state space models using particle importance sampling
AISTATS 2025poster
State-space models have been used in many applications, including econometrics, engi- neering, medical research, etc. The maximum likelihood estimation (MLE) of the static pa- rameter of general state-space models is not straightforward because the likelihood func- tion is intractable. It is popular…