Pages that link to "Item:Q5691195"
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The following pages link to State‐space models for multivariate longitudinal data of mixed types (Q5691195):
Displaying 20 items.
- Multidimensional state-space models: A comparative overview (Q798591) (← links)
- State space mixed models for longitudinal observations with binary and binomial responses (Q840936) (← links)
- State space mixed models for binary responses with scale mixture of normal distributions links (Q1621307) (← links)
- Analysis of correlated Birnbaum-Saunders data based on estimating equations (Q2220795) (← links)
- An introduction to Bent Jørgensen's ideas (Q2233633) (← links)
- Multivariate count autoregression (Q2278669) (← links)
- A statistical model for under- or overdispersed clustered and longitudinal count data (Q3013945) (← links)
- Multivariate Time-Series Analysis With Categorical and Continuous Variables in an Lstr Model (Q3505335) (← links)
- Stationary state space models for longitudinal data (Q3512627) (← links)
- (Q3595695) (← links)
- A state space model for multivariate longitudinal count data (Q4238081) (← links)
- Generating dependent random numbers with given correlations and margins from exponential dispersion models (Q4346984) (← links)
- Monte Carlo Kalman filter and smoothing for multivariate discrete state space models (Q4527905) (← links)
- Extending the State-Space Model to Accommodate Missing Values in Responses and Covariates (Q4916939) (← links)
- A new approach to modeling positive random variables with repeated measures (Q5044692) (← links)
- Distance-based approach in univariate longitudinal data analysis (Q5128948) (← links)
- (Q5134544) (← links)
- Modeling Unequally Spaced Bivariate Growth Curve Data Using a Kalman Filter Approach (Q5697414) (← links)
- Unit gamma regression models for correlated bounded data (Q6138716) (← links)
- Mixed-Response State-Space Model for Analyzing Multi-Dimensional Digital Phenotypes (Q6185496) (← links)
