All Stories

  1. Identification of hidden Markov chains governing dependent credit-rating migrations
  2. Modeling of Dependent Credit Rating Transitions Governed by Industry-Specific Markovian Matrices
  3. Time-Consistent Decisions and Temporal Decomposition of Coherent Risk Functionals
  4. Time-inconsistent multistage stochastic programs: Martingale bounds
  5. Measuring Systemic Risk: Structural Approaches
  6. Dynamic generation of scenario trees
  7. Score Function Method
  8. Stochastic vs deterministic programming in water management: the value of flexibility
  9. Lotteries
  10. Electricity swing option pricing by stochastic bilevel optimization: A survey and new approaches
  11. On distributionally robust multiperiod stochastic optimization
  12. Funding public adaptation to climate-related disasters. Estimates for a global fund
  13. The Nested Distance
  14. Time Consistency
  15. Shape-restricted nonparametric regression with overall noisy measurements
  16. Flood Risk in a Changing Climate: A Multilevel Approach for Risk Management
  17. The 1/N investment strategy is optimal under high model ambiguity
  18. Approximations for Probability Distributions and Stochastic Optimization Problems
  19. A difference of convex formulation of value-at-risk constrained optimization
  20. Asymptotic distribution of law-invariant risk functionals
  21. Electricity swing options: Behavioral models and pricing
  22. A note on pivotal Value-at-Risk estimates
  23. Design and management of unit-linked life insurance contracts with guarantees
  24. Ambiguity in portfolio selection
  25. Modeling, Measuring and Managing Risk
  26. Modeling, Measuring and Managing Risk
  27. Financial scenario generation for stochastic multi-stage decision processes as facility location problems
  28. Score Function Method
  29. Subdifferential representations of risk measures
  30. On distortion functionals
  31. Measuring Risk for Income Streams
  32. Value-at-risk in portfolio optimization: properties and computational approach
  33. The Value of Perfect Information as a Risk Measure
  34. INVENTORY PROCESSES: QUASI-REGENERATIVE PROPERTY, PERFORMANCE EVALUATION, AND SENSITIVITY ESTIMATION VIA SIMULATION
  35. Birge and Qi Method for Three-Stage Stochastic Programs Using IPM
  36. Asymptotic ruin probabilities for risk processes with dependent increments
  37. Z-Theorems: Limits of Stochastic Equations
  38. Some Remarks on the Value-at-Risk and the Conditional Value-at-Risk
  39. Limit theorems for stationary distributions of birth-and-death processes
  40. How to Measure Risk?
  41. The likelihood ratio test for simple tree order: A useful asymptotic expansion
  42. A branch and bound method for stochastic global optimization
  43. Configurations of series-parallel networks with maximum reliability
  44. Simulation and sensitivity estimation
  45. Selection of the best by minimum distance testing
  46. Asymptotic Stochastic Programs
  47. On an Argmax-Distribution Connected to the Poisson Process
  48. Optimization of Discrete-Event Systems
  49. Stochastic Approximation and Optimization of Random Systems
  50. A note on the comparison of stationary laws of Markov processes
  51. Weakly Adaptive Estimators in Explosive Autoregression
  52. A characterization of translation-invariant experiments admitting adaptive estimates
  53. Linear probing with a nonuniform address distribution
  54. Stochastische Modelle in der Informatik
  55. Memory conflicts in MIMD-computers — a performance analysis
  56. Optimizing simulated systems
  57. On Kersting’s Theorem on Weak Convergence of Recursions
  58. Decision-Theoretic Paradoxes
  59. A statistically important Gaussian Process
  60. Probability and Statistical Inference
  61. Speculation and Stability on Markets for Exhaustible Resources
  62. The Limiting Log-Likelihood Process for Discontinuous Multiparameter Density Families
  63. On the Convergence of a Penalty-Type Stochastic Optimization Procedure
  64. Discrete Stochastic Optimization
  65. Discrete Stochastic Optimization
  66. Stochastic Shape Theory
  67. Derivatives of Markov Processes and their Simulation
  68. Derivatives of Probability Measures
  69. Optimizing simulated Markov processes
  70. Properties And Computation Of Value At Risk Efficient Portfolios Based On Historical Data
  71. Derivatives of probability measures-concepts and applications to the optimization of stochastic systems
  72. Derivatives of Markov Processes and Their Simulation
  73. Derivatives of Probability Measures