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Results for Dynamic Programming

Publications & Outputs

  1. Machine learning for dynamic incentive problems

    Renner, P. & Scheidegger, S., 11/2017, Lancaster: Lancaster University, Department of Economics, (Economics Working Papers Series).

    Research output: Working paper

  2. On optimal multiple changepoint algorithms for large data

    Maidstone, R., Hocking, T., Rigaill, G. & Fearnhead, P., 15/02/2016, In : Statistics and Computing.

    Research output: Contribution to journalJournal article

  3. Up then down: bid-price trends in revenue management

    Pang, Z., Berman, O. & Hu, M., 07/2015, In : Production and Operations Management. 24, 7, p. 1135-1147 13 p.

    Research output: Contribution to journalJournal article

  4. Optimal detection of changepoints with a linear computational cost

    Killick, R., Fearnhead, P. & Eckley, I., 2012, In : Journal of the American Statistical Association. 107, 500, p. 1590-1598 9 p.

    Research output: Contribution to journalJournal article

  5. Dynamic Simultaneous Fare Proration for Large-Scale Network Revenue Management

    Kemmer, P., Strauss, A. K. & Winter, T., 2011, Lancaster University: The Department of Management Science, (Management Science Working Paper Series).

    Research output: Working paper