Abbas Khalili
Professor
My research focuses on development of statistical methodology in data science:
- High-dimensional statistics (supervised and unsupervised learning problems)
- Post-selection inference
- Distributed learning in big data problems
- Theory and applications of latent variable models (Finite mixtures, Mixture-of-experts, Hidden Markov models)
- Neural Networks: theory and applications in latent variable models
- Time series modelling
- Change point analysis