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Weak error for Continuous Time Markov Chains related to fractional in time P(I)DEs

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  • Kelbert, M.
  • Konakov, V.
  • Menozzi, S.

Abstract

We provide sharp error bounds for the difference between the transition densities of some multidimensional Continuous Time Markov Chains (CTMC) and the fundamental solutions of some fractional in time Partial (Integro) Differential Equations (P(I)DEs). Namely, we consider equations involving a time fractional derivative of Caputo type and a spatial operator corresponding to the generator of a non degenerate Brownian or stable driven Stochastic Differential Equation (SDE).

Suggested Citation

  • Kelbert, M. & Konakov, V. & Menozzi, S., 2016. "Weak error for Continuous Time Markov Chains related to fractional in time P(I)DEs," Stochastic Processes and their Applications, Elsevier, vol. 126(4), pages 1145-1183.
  • Handle: RePEc:eee:spapps:v:126:y:2016:i:4:p:1145-1183
    DOI: 10.1016/j.spa.2015.10.013
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    References listed on IDEAS

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    1. ,, 2001. "Problems And Solutions," Econometric Theory, Cambridge University Press, vol. 17(6), pages 1157-1160, December.
    2. Straka, P. & Henry, B.I., 2011. "Lagging and leading coupled continuous time random walks, renewal times and their joint limits," Stochastic Processes and their Applications, Elsevier, vol. 121(2), pages 324-336, February.
    3. ,, 2001. "Problems And Solutions," Econometric Theory, Cambridge University Press, vol. 17(5), pages 1025-1031, October.
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    Cited by:

    1. Leonenko, N.N. & Papić, I. & Sikorskii, A. & Šuvak, N., 2017. "Heavy-tailed fractional Pearson diffusions," Stochastic Processes and their Applications, Elsevier, vol. 127(11), pages 3512-3535.

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