All Stories

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