All Stories

  1. Batching adaptive variance reduction
  2. A decoupling principle for Markov-modulated chains
  3. Super- and subdiffusive positions in fractional Klein–Kramers equations
  4. Time-squeezing and time-expanding transformations in harmonic force fields
  5. A general approach to sample path generation of infinitely divisible processes via shot noise representation
  6. Numerical aspects of shot noise representation of infinitely divisible laws and related processes
  7. Adaptive importance sampling and control variates
  8. Asymptotic degeneracy and subdiffusivity
  9. Computable Primal and Dual Bounds for Stochastic Control
  10. Analytic model for transient anomalous diffusion with highly persistent correlations
  11. Optimal statistical inference for subdiffusion processes
  12. SMOOTH UPPER BOUNDS FOR THE PRICE FUNCTION OF AMERICAN STYLE OPTIONS
  13. Optimizing Adaptive Importance Sampling by Stochastic Approximation
  14. Polynomial upper and lower bounds for financial derivative price functions under regime-switching
  15. Adaptive importance sampling Monte Carlo simulation for general multivariate probability laws
  16. Cusping, transport and variance of solutions to generalized Fokker–Planck equations
  17. Solving Multidimensional Fractional Fokker--Planck Equations via Unbiased Density Formulas for Anomalous Diffusion Processes
  18. Acceleration on Adaptive Importance Sampling with Sample Average Approximation
  19. Higher Order Fractional Stable Motion: Hyperdiffusion with Heavy Tails
  20. Anomalous spreading and misidentification of spatial random walk models
  21. Explicit hard bounding functions for boundary value problems for elliptic partial differential equations
  22. Sample Path Generation of Lévy-Driven Continuous-Time Autoregressive Moving Average Processes
  23. Solution Bounds for Elliptic Partial Differential Equations via Feynman-Kac Representation
  24. Measuring Impact of Random Jumps Without Sample Path Generation
  25. On the likelihood function of small time variance Gamma Lévy processes
  26. Numerical inverse Lévy measure method for infinite shot noise series representation
  27. Computation of Greeks for asset price dynamics driven by stable and tempered stable processes
  28. Fisher Information for Fractional Brownian Motion Under High-Frequency Discrete Sampling
  29. On Weak Approximation of Stochastic Differential Equations through Hard Bounds by Mathematical Programming
  30. Local asymptotic normality for normal inverse Gaussian Lévy processes with high-frequency sampling
  31. Nonnegative compartment dynamical system modelling with stochastic differential equations
  32. Local Asymptotic Normality Property for Ornstein–Uhlenbeck Processes with Jumps Under Discrete Sampling
  33. Continuous-time modeling of random searches: statistical properties and inference
  34. Sampling rate of spatial stochastic processes with independent components in modeling random search paths
  35. Multi-scale properties of random walk models of animal movement: lessons from statistical inference
  36. Infinite Variation Tempered Stable Ornstein–Uhlenbeck Processes with Discrete Observations
  37. On Monte Carlo and Quasi-Monte Carlo Methods for Series Representation of Infinitely Divisible Laws
  38. Likelihood ratio gradient estimation for Meixner distribution and Lévy processes
  39. On finite truncation of infinite shot noise series representation of tempered stable laws
  40. An optimization approach to weak approximation of stochastic differential equations with jumps
  41. On the local asymptotic behavior of the likelihood function for Meixner Lévy processes under high-frequency sampling
  42. On simulation of tempered stable random variates
  43. A Weak Approximation of Stochastic Differential Equations with Jumps Through Tempered Polynomial Optimization
  44. Exact discrete sampling of finite variation tempered stable Ornstein–Uhlenbeck processes
  45. GREEKS FORMULAS FOR AN ASSET PRICE MODEL WITH GAMMA PROCESSES
  46. Computation of Greeks and Multidimensional Density Estimation for Asset Price Models with Time-Changed Brownian Motion
  47. Asymptotically optimal allocation of stratified sampling with adaptive variance reduction by strata
  48. Quasi-Monte Carlo Method for Infinitely Divisible Random Vectors via Series Representations
  49. An Optimization Approach to Weak Approximation of Lévy-Driven Stochastic Differential Equations
  50. Sensitivity analysis for averaged asset price dynamics with gamma processes
  51. An optimization approach to weak approximation of Lévy-driven stochastic differential equations with application to option pricing
  52. A multivariate Lévy process model with linear correlation
  53. SENSITIVITY ANALYSIS AND DENSITY ESTIMATION FOR THE HOBSON-ROGERS STOCHASTIC VOLATILITY MODEL
  54. Optimal Importance Sampling Parameter Search for Lévy Processes via Stochastic Approximation
  55. Adaptive Monte Carlo Variance Reduction for Lévy Processes with Two-Time-Scale Stochastic Approximation
  56. On layered stable processes
  57. Adaptive Monte Carlo Variance Reduction with Two-time-scale Stochastic Approximation
  58. On fractional tempered stable motion
  59. An importance sampling method based on the density transformation of Lévy processes
  60. An importance sampling method based on the density transformation of Lévy processes