Further Issues and Conclusions
This chapter contains sections titled: multiple Outputs, Noise Models with Dependencies, Non-Gaussian Likelihoods, Derivative Observations, Prediction with Uncertain Inputs, Mixtures of Gaussian Processes, Global Optimization, Evaluation of Integrals, Student's t Process, Invariances, Latent Variable Models, Conclusions and Future Directions