Sequential Importance Sampling Algorithms for Dynamic Stochastic Programming

[1]  András Prékopa,et al.  Laws of large numbers for random linear programs , 1972, Mathematical systems theory.

[2]  Werner Römisch,et al.  Differential Stability of Two-Stage Stochastic Programs , 2000, SIAM J. Optim..

[3]  David P. Morton,et al.  Monte Carlo bounding techniques for determining solution quality in stochastic programs , 1999, Oper. Res. Lett..

[4]  A Orman,et al.  Optimization of Stochastic Models: The Interface Between Simulation and Optimization , 2012, J. Oper. Res. Soc..

[5]  Georg Ch. Pflug,et al.  A branch and bound method for stochastic global optimization , 1998, Math. Program..

[6]  Michael A. H. Dempster,et al.  Towards Sequential Sampling Algorithms for Dynamic Portfolio Management , 1998 .

[7]  Michael A. H. Dempster,et al.  Evpi-Based Importance Sampling Solution Procedures for Multistage Stochastic Linear Programmes on Parallel Mimd Architectures , 1997 .

[8]  C. Zopounidis.  Operational tools in the management of financial risks , 1997 .

[9]  Julia L. Higle,et al.  Stochastic Decomposition: A Statistical Method for Large Scale Stochastic Linear Programming , 1996 .

[10]  A. Shapiro.  Simulation-based optimization—convergence analysis and statistical inference , 1996 .

[11]  George Ch. Pflug,et al.  Optimization of Stochastic Models , 1996 .

[12]  Werner Römisch,et al.  Stability in multistage stochastic programming , 1995, Ann. Oper. Res..

[13]  Jason H. Goodfriend,et al.  Discrete Event Systems: Sensitivity Analysis and Stochastic Optimization by the Score Function Method , 1995 .

[14]  P. Kall.  Stochastic Programming , 1981 .

[15]  Charles Leake,et al.  Discrete Event Systems: Sensitivity Analysis and Stochastic Optimization by the Score Function Method , 1994 .

[16]  Alexander Shapiro,et al.  Asymptotic Behavior of Optimal Solutions in Stochastic Programming , 1993, Math. Oper. Res..

[17]  R. Tyrrell Rockafellar,et al.  Asymptotic Theory for Solutions in Statistical Estimation and Stochastic Programming , 1993, Math. Oper. Res..

[18]  G. Infanger,et al.  Planning under uncertainty solving large-scale stochastic linear programs , 1992 .

[19]  K. Feldman.  Portfolio Selection, Efficient Diversification of Investments . By Harry M. Markowitz (Basil Blackwell, 1991) £25.00 , 1992 .

[20]  Julia L. Higle,et al.  Stochastic Decomposition: An Algorithm for Two-Stage Linear Programs with Recourse , 1991, Math. Oper. Res..

[21]  Alexander Shapiro,et al.  Asymptotic analysis of stochastic programs , 1991, Ann. Oper. Res..

[22]  J. Freeman.  Probability Metrics and the Stability of Stochastic Models , 1991 .

[23]  G. Dantzig,et al.  Large-Scale Stochastic Linear Programs: Importance Sampling and Benders Decomposition , 1991 .

[24]  Mark H. A. Davis,et al.  On the Value of Information in Controlled Diffusion Processes , 1991 .

[25]  Horand I. Gassmann,et al.  Mslip: A computer code for the multistage stochastic linear programming problem , 1990, Math. Program..

[26]  George B. Dantzig,et al.  Parallel processors for planning under uncertainty , 1990 .

[27]  Alan J. King,et al.  Generalized Delta Theorems for Multivalued Mappings and Measurable Selections , 1989, Math. Oper. Res..

[28]  R. Wets,et al.  Stochastic programming , 1989 .

[29]  M. Dempster.  On stochastic programming. II: Dynamic problems under risk , 1988 .

[30]  H. Brachinger,et al.  Decision analysis , 1997 .

[31]  Alan J. King,et al.  A Standard Input Format for Multiperiod Stochastic Linear Programs , 1987 .

[32]  Kerry Back,et al.  The shadow price of information in continuous time decision problems , 1987 .

[33]  R. Wets,et al.  On the Convergence in Distribution of Measurable Multifunctions Random Sets Normal Integrands, Stochastic Processes and Stochastic Infima , 1986 .

[34]  R. Rockafellar,et al.  A Lagrangian Finite Generation Technique for Solving Linear-Quadratic Problems in Stochastic Programming , 1986 .

[35]  M. Dempster.  The Expected Value of Perfect Information in the Optimal Evolution of Stochastic Systems , 1981 .

[36]  P. Billingsley,et al.  Probability and Measure , 1980 .

[37]  R. Rockafellar,et al.  Nonanticipativity and L1-martingales in stochastic optimization problems , 1976 .

[38]  Discretizations of multistage stochastic programming problems , 1976 .

[39]  J. Daniel.  On the approximate minimization of functionals , 1969 .

[40]  Bernard Bereanu,et al.  On stochastic linear programming distribution problems, stochastic technology matrix , 1967 .

[41]  Paul Malliavin,et al.  Stochastic Analysis , 1997, Nature.

[42]  George B Dantzig,et al.  ON THE SOLUTION OF TWO-STAGE LINEAR PROGRAMS UNDER UNCERTAINTY. NOTES ON LINEAR PROGRAMMING AND EXTENSIONS. PART 55 , 1961 .

[43]  A. Stuart,et al.  Portfolio Selection: Efficient Diversification of Investments , 1959 .