Research Interests: |
Finite Markov Chains and Their Applications - General Δ-ergodic theory
- Sampling [Metropolis-Hastings chain, Gibbs chain (sampler) etc.]
- Optimization [simulated annealing, quantum annealing, evolutionary algorithms etc.]
- Counting [permanent etc.]
- Web information retrieval [(Google's) PageRank etc.]
- Distribution theory and related fields [runs, patterns, scans, reliability theory (k-out-of-∞: F Markov chain, consecutive-k-out-of-∞: F Markov chain etc.) etc.]
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