A Hierarchical Latent Stochastic Differential Equation Model for Affective Dynamics

Mathematics

• Variance 100%
• Continuous Time 100%
• Stochastic Differential Equation 100%
• Space Model 50%
• Covariance 50%
• Stochastic Model 50%
• Repeated Measurement 50%
• Longitudinal Data 50%
• Covariate 50%
• Ornstein Uhlenbeck Process 50%
• Stochastic Process 50%
• time point η 50%

Keyphrases

• Stochastic Differential Equation Models 100%
• Affective Dynamics 100%
• Irregular Times 33%
• Repeated Measurement Data 33%
• Continuous-time Stochastic Models 33%
• Regulatory Parameters 33%

Psychology

• Core Affect 100%
• Individual Differences 66%
• Continuous Time 66%
• Process Model 33%