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1. Empirical estimates in stochastic optimization via distribution tails

2. Multistage stochastic programs via autoregressive sequences and individual probability constraints

3. Stochastic optimization problems with second order stochastic dominance constraints via Wasserstein metric

4. Thin and heavy tails in stochastic programming