Applied probability and applied mathematics

         Heavy-tailed processes

         Gaussian processes

         Random partial and ordinary differential equations

Statistics and psychometrics

         Latent variable modeling and its variable selection

         Sequential analysis

         Hierarchical models and empirical Bayes

         Missing data and multiple imputations


         Importance sampling

         Markov chain Monte Carlo: theories and applications

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