Statistics and Probability
Department of Mathematical Sciences
The University of Liverpool

Office: 206, Department of Maths Sciences, M&O Building,
L69 7ZL, UK
Phone: +44 [0] 151 794-4737
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E-mail: piunov@liverpool.ac.uk

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Selected recent publications (more than 100 in total).

  1. Randomized and relaxed strategies in continuous-time Markov decision processes // SIAM J. Control Optim., 2015, V.53, p.3503-3533
  2. Impulsive control for continuous-time Markov decision processes: a linear programming approach (F.Dufour – co-author) // Appl. Math. Optim. DOI10.1007/s00245-015-9310-8
  3. Modern Trends in Controlled Stochastic Processes – Vol.II (Editor), Luniver Press, Frome, 2015 323 pp.
  4. Optimal stopping model with unknown transition probabilities (M.Horiguchi – co-author) // Control and Cybernetics, 2013, V.42, p.593-612
  5. The expected total cost criterion for Markov decision processes under constraints (F.Dufour – co-author) // Adv.Appl.Prob., 2013, V.45, p.837-859
  6. Examples in Markov Decision Processes. Imperial College Press, 2013. 293 p
  7. The transformation method for continuous-time Markov decision processes (Y.Zhang – co-author) // J. Optim. Theory Appl., 2012, V.154, p.691-712
  8. Discounted continuous-time Markov decision processes with unbounded rates: the convex analytic approach (Y.Zhang – co-author) // SIAM J. Control Optim, 2011, V.49, N.5, p.2032-2061
  9. Accuracy of fluid approximations to controlled birth-and-death processes: absorbing case (Y.Zhang – co-author) // Math. Meth. Oper. Res., 2011, V.73, N.2, p.159-187.
  10. Modern Trends in Controlled Stochastic Processes (Editor), Luniver Press, Frome, 2010, 342 pp.