Pages that link to "Item:Q2452358"
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The following pages link to Nonlinear regime-switching state-space (RSSS) models (Q2452358):
Displaying 11 items.
- Regime switching state-space models applied to psychological processes: handling missing data and making inferences (Q418428) (← links)
- Using state-space model with regime switching to represent the dynamics of facial electromyography (EMG) data (Q615678) (← links)
- Representing sudden shifts in intensive dyadic interaction data using differential equation models with regime switching (Q725305) (← links)
- Fitting nonlinear ordinary differential equation models with random effects and unknown initial conditions using the stochastic approximation expectation-maximization (SAEM) algorithm (Q736434) (← links)
- Bayesian forecasting with a regime-switching zero-inflated multilevel Poisson regression model: an application to adolescent alcohol use with spatial covariates (Q2152395) (← links)
- Forecasting intra-individual changes of affective states taking into account inter-individual differences using intensive longitudinal data from a university student dropout study in math (Q2152408) (← links)
- Control theory forecasts of optimal training dosage to facilitate children's arithmetic learning in a digital educational application (Q2152411) (← links)
- Zero-inflated regime-switching stochastic differential equation models for highly unbalanced multivariate, multi-subject time-series data (Q2331187) (← links)
- Switching nonparametric regression models for multi‐curve data (Q4960864) (← links)
- Regime switching models for circular and linear time series (Q6135353) (← links)
- Estimation of nonlinear mixed‐effects continuous‐time models using the continuous‐discrete extended Kalman filter (Q6185840) (← links)
