3 papers
stat.CO2026
A Hybrid NUTS-Gibbs Sampler with State Space Marginalization for Estimation of Dynamic Structural Equation Models with Binomial Outcomes
Ãystein Sørensen, Ethan M. McCormick
Dynamic structural equation modeling (DSEM) is widely used for analyzing intensive longitudinal data (ILD). Although many ILD have categorical (Bernoulli or binomially distributed)…
stat.ME2026
A Semiparametric Nonlinear Mixed Effects Model with Penalized Splines Using Automatic Differentiation
Matteo D'Alessandro, Magne Thoresen, Ãystein Sørensen
We present an estimation procedure for nonlinear mixed-effects models in which the population trajectory is represented by penalized splines and adapted to individuals via subject-…
stat.ME2026
Efficient Bayesian Estimation of Dynamic Structural Equation Models via State Space Marginalization
Ãystein Sørensen, Øystein Sørensen
Dynamic structural equation models (DSEMs) combine time-series modeling of within-person processes with hierarchical modeling of between-person differences and differences between…