On optimal mean-field type control problems of stochastic systems with jump processes under partial information
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[1] Tak Kuen Siu,et al. The maximum principle for a jump-diffusion mean-field model and its application to the mean–variance problem , 2013 .
[2] Bernt Øksendal,et al. MALLIAVIN CALCULUS AND ANTICIPATIVE ITÔ FORMULAE FOR LÉVY PROCESSES , 2005 .
[3] Bernt Øksendal,et al. A mean-field stochastic maximum principle via Malliavin calculus , 2012 .
[4] G. Barles,et al. Backward stochastic differential equations and integral-partial differential equations , 1997 .
[5] A. Bensoussan. Stochastic Control of Partially Observable Systems , 1992 .
[6] Frank Proske,et al. Explicit Representation of the Minimal Variance Portfolio in Markets Driven by Lévy Processes , 2003 .
[7] Hua Xiao. The maximum principle for partially observed optimal control of forward-backward stochastic systems with random jumps , 2011, J. Syst. Sci. Complex..
[8] S. Peng,et al. Risk-Sinsitive Dynamic Portfolio Optimization with Partial Information on Infinite Time Horizon , 2002 .
[9] Xun Yu Zhou,et al. Mean-Variance Portfolio Selection under Partial Information , 2007, SIAM J. Control. Optim..
[10] Yoshifusa Ito. Generalized Poisson Functionals , 1988 .
[11] Zhen Wu,et al. Optimal premium policy of an insurance firm: Full and partial information☆ , 2010 .
[12] Bernt Øksendal,et al. Malliavin Calculus for Lévy Processes with Applications to Finance , 2008 .
[13] Xunjing Li,et al. Necessary Conditions for Optimal Control of Stochastic Systems with Random Jumps , 1994 .
[14] Syed Abbas,et al. A general maximum principle for mean-field stochastic differential equations with jump processes , 2013, 1301.7327.
[15] Bernt Øksendal,et al. Maximum Principles for Optimal Control of Forward-Backward Stochastic Differential Equations with Jumps , 2009, SIAM J. Control. Optim..