Modeling Binary Time Series Using Gaussian Processes with Application to Predicting Sleep States

Mathematics

• Gaussian Process 100%
• Covariate 66%
• Decision Tree 33%
• Parabolic 33%
• Laplace Approximation 33%
• Mixed Model 33%
• Golden Section 33%
• Simulation Study 33%
• Frequentist 33%
• Logistic Regression 33%
• Binary Response 33%
• Residuals 33%
• Stochastics 33%
• Accurate Prediction 33%
• Ordinal Data 33%

Computer Science

• Gaussian Process 100%
• And-States 33%
• Random Decision Forest 33%
• Modeling Framework 33%
• Mixed Effect Model 33%
• Computational Complexity 33%
• Decision Trees 33%
• Gradient Boosting 33%
• Simulation Study 33%
• Laplace Approximation 33%
• Logistic Regression 33%

Keyphrases

• Generalized Additive Mixed Model 25%
• Residual Variation 25%
• Fixed Components 25%
• Ordinal Data 25%