General quantitative stability results for stochastic programs are formulated in terms of probability metrics, specified to scenario-based stochastic programs and applied to a bond portfolio management problem. AMS classification: 90C15, 90C31, 60K30, 90C08 Key words : Probability metrics, stochastic programs, stability wrt. probability measure, random recourse, discrete distributions, application 1 INTRODUCTION Stability and sensitivity studies for stochastic programs have been motivated by an incomplete information about the probability measure through which the stochastic program is formulated and also by the efforts in designing various discretization and approximation schemes needed in connection with the development and evaluation...
We consider the solution of a system of stochastic generalized equations (SGE) where the underlying ...
Necessary and sufficient conditions for metric regularity of (several joint) probabilistic constrain...
We consider the use of the Fortet-Mourier metric between two probability measures to bound the error...
General quantitative stability results for stochastic programs are formulated in terms of probabilit...
Quantitative stability of optimal values and solution sets to stochastic programming problems is stu...
Quantitative stability of optimal values and solution sets to stochastic programming problems is stu...
Quantitative stability of optimal values and solution sets to stochastic programming problems is stu...
SIGLEAvailable from TIB Hannover: RR 6329(2000,22) / FIZ - Fachinformationszzentrum Karlsruhe / TIB ...
Some developments in structure and stability of stochastic programs during the last decade together ...
summary:Economic and financial processes are mostly simultaneously influenced by a random factor and...
Mixed-integer two-stage stochastic programs with fixed recourse matrix, random recourse costs, techno...
We analyse stability aspects of linear multistage stochastic programs with polyhedral risk measures ...
The bond portfolio management problem is formulated as a stochastic program based on interest rate s...
Perturbations of convex chance constrained stochastic programs are considered the un-derlying probab...
Scenario generation is the construction of a discrete random vector to represent parameters of uncer...
We consider the solution of a system of stochastic generalized equations (SGE) where the underlying ...
Necessary and sufficient conditions for metric regularity of (several joint) probabilistic constrain...
We consider the use of the Fortet-Mourier metric between two probability measures to bound the error...
General quantitative stability results for stochastic programs are formulated in terms of probabilit...
Quantitative stability of optimal values and solution sets to stochastic programming problems is stu...
Quantitative stability of optimal values and solution sets to stochastic programming problems is stu...
Quantitative stability of optimal values and solution sets to stochastic programming problems is stu...
SIGLEAvailable from TIB Hannover: RR 6329(2000,22) / FIZ - Fachinformationszzentrum Karlsruhe / TIB ...
Some developments in structure and stability of stochastic programs during the last decade together ...
summary:Economic and financial processes are mostly simultaneously influenced by a random factor and...
Mixed-integer two-stage stochastic programs with fixed recourse matrix, random recourse costs, techno...
We analyse stability aspects of linear multistage stochastic programs with polyhedral risk measures ...
The bond portfolio management problem is formulated as a stochastic program based on interest rate s...
Perturbations of convex chance constrained stochastic programs are considered the un-derlying probab...
Scenario generation is the construction of a discrete random vector to represent parameters of uncer...
We consider the solution of a system of stochastic generalized equations (SGE) where the underlying ...
Necessary and sufficient conditions for metric regularity of (several joint) probabilistic constrain...
We consider the use of the Fortet-Mourier metric between two probability measures to bound the error...