All Stories

  1. Generalized likelihood ratio method for stochastic models with uniform random numbers as inputs
  2. Construction-Free Median Quasi-Monte Carlo Rules for Function Spaces with Unspecified Smoothness and General Weights
  3. Monte Carlo and Quasi–Monte Carlo Density Estimation via Conditioning
  4. A simulation-based decomposition approach for two-stage staffing optimization in call centers under arrival rate uncertainty
  5. Density Estimation by Randomized Quasi-Monte Carlo
  6. Quantile Estimation Via a Combination of Conditional Monte Carlo and Randomized Quasi-Monte Carlo
  7. An algorithm to compute the t-value of a digital net and of its projections
  8. Sampling Conditionally on a Rare Event via Generalized Splitting
  9. Spectral Analysis of the MIXMAX Random Number Generators
  10. Monte Carlo and Quasi-Monte Carlo Methods
  11. Array-RQMC for Option Pricing Under Stochastic Volatility Models
  12. Quasi-Monte Carlo simulation of coagulation–fragmentation
  13. Editorial Introduction to the Special Issue on MCM 2017
  14. EXACT POSTERIOR SIMULATION FROM THE LINEAR LASSO REGRESSION
  15. MODELING BURSTS IN THE ARRIVAL PROCESS TO AN EMERGENCY CALL CENTER
  16. ON A GENERALIZED SPLITTING METHOD FOR SAMPLING FROM A CONDITIONAL DISTRIBUTION
  17. Sorting methods and convergence rates for Array-RQMC: Some empirical comparisons
  18. Randomized Quasi-Monte Carlo: An Introduction for Practitioners
  19. History of uniform random number generation
  20. Accurate computation of the right tail of the sum of dependent log-normal variates
  21. Non-neutrality of search engines and its impact on innovation
  22. Random numbers for parallel computers: Requirements and methods, with emphasis on GPUs
  23. Revenue management and optimal ranking for Internet search engines
  24. Search (Non-)Neutrality and Impact on Innovation
  25. Simulation from the Normal Distribution Truncated to an Interval in the Tail
  26. New history-based delay predictors for service systems
  27. Two-stage chance-constrained staffing with agent recourse for multi-skill call centers
  28. Modeling and forecasting call center arrivals: A literature survey and a case study
  29. Algorithm 958
  30. Rate-Based Daily Arrival Process Models with Application to Call Centers
  31. Inter-dependent, heterogeneous, and time-varying service-time distributions in call centers
  32. Static Network Reliability Estimation under the Marshall-Olkin Copula
  33. Random number generation with multiple streams for sequential and parallel computing
  34. Chance-constrained scheduling with recourse for multi-skill call centers with arrival-rate and absenteeism uncertainty
  35. Efficient probability estimation and simulation of the truncated multivariate student-t distribution
  36. Waiting time predictors for multi-skill call centers
  37. Reliability of stochastic flow networks with continuous link capacities
  38. Retail store scheduling for profit
  39. Dynamic Call Center Routing Policies Using Call Waiting and Agent Idle Times
  40. On the Lattice Structure of a Special Class of Multiple Recursive Random Number Generators
  41. An adaptive zero-variance importance sampling approximation for static network dependability evaluation
  42. Scheduling Agents Using Forecast Call Arrivals at Hydro-Québec’s Call Centers
  43. Guest editors’ introduction to special issue on the third INFORMS simulation society research workshop
  44. Modeling and simulation grand challenges: An OR/MS perspective
  45. Call-type dependence in multiskill call centers
  46. Static Network Reliability Estimation via Generalized Splitting
  47. Forecasting Call Center Arrivals: Fixed-Effects, Mixed-Effects, and Bivariate Models
  48. Random Number Generators
  49. The Cross-Entropy Method for Optimization
  50. Towards Understanding the Behavior of Classes Using Probabilistic Models of Program Inputs
  51. On the modeling and forecasting of call center arrivals
  52. Constructing adapted lattice rules using problem-dependent criteria
  53. Dependent failures in highly reliable static networks
  54. Variance bounds and existence results for randomly shifted lattice rules
  55. A normal copula model for the arrival process in a call center
  56. Estimation of the mixed logit likelihood function by randomized quasi-Monte Carlo
  57. On Figures of Merit for Randomly-Shifted Lattice Rules
  58. Random Number Generation
  59. Markov chain importance sampling with applications to rare event probability estimation
  60. An importance sampling method based on a one-step look-ahead density from a Markov chain
  61. Graph reductions to speed up importance sampling-based static reliability estimation
  62. RMSim: A java library for simulating revenue management systems
  63. Existence and construction of shifted lattice rules with an arbitrary number of points and bounded weighted star discrepancy for general decreasing weights
  64. Approximate Zero-Variance Importance Sampling for Static Network Reliability Estimation
  65. Uniform Random Number Generators
  66. Computing the Two-Sided Kolmogorov-Smirnov Distribution
  67. Combination of conditional Monte Carlo and approximate zero-variance importance sampling for network reliability estimation
  68. American option pricing with randomized quasi-Monte Carlo simulations
  69. Coupling from the past with randomized quasi-Monte Carlo
  70. Quasi-Monte Carlo methods for Markov chains with continuous multi-dimensional state space
  71. 4.3: Qualification of the 500W Ka band TWT
  72. Resolution-stationary random number generators
  73. Optimizing daily agent scheduling in a multiskill call center
  74. Asymptotic robustness of estimators in rare-event simulation
  75. Fitting a normal copula for a multivariate distribution with both discrete and continuous marginals
  76. On the error distribution for randomly-shifted lattice rules
  77. Quasi-Monte Carlo methods with applications in finance
  78. Staffing multi-skill call centers via search methods and a performance approximation
  79. Approximating zero-variance importance sampling in a reliability setting
  80. Efficient Correlation Matching for Fitting Discrete Multivariate Distributions with Arbitrary Marginals and Normal-Copula Dependence
  81. Monte Carlo and Quasi-Monte Carlo Methods 2008
  82. A practical view of randomized quasi-Monte Carlo: invited presentation, extended abstract
  83. On Array-RQMC for Markov Chains: Mapping Alternatives and Convergence Rates
  84. On the Behavior of the Weighted Star Discrepancy Bounds for Shifted Lattice Rules
  85. Approximate zero-variance simulation
  86. Speeding up call center simulation and optimization by Markov chain uniformization
  87. Efficient Jump Ahead for
  88. A Randomized Quasi-Monte Carlo Simulation Method for Markov Chains
  89. On the interaction between stratification and control variates, with illustrations in a call centre simulation
  90. Staffing Multiskill Call Centers via Linear Programming and Simulation
  91. Four Canadian Contributions to Stochastic Modeling
  92. Quasi-Monte Carlo Simulation of Discrete-Time Markov Chains on Multidimensional State Spaces
  93. A Coding Theoretic Approach to Building Nets with Well-Equidistributed Projections
  94. Estimating the probability of a rare event over a finite time horizon
  95. Fortieth anniversary special panel: Landmark papers
  96. Fortieth anniversary special panel: Landmark papers
  97. TestU01
  98. A dynamic programming approach for pricing options embedded in bonds
  99. Markov chain models of a telephone call center with call blending
  100. Rare events, splitting, and quasi-Monte Carlo
  101. Efficient Monte Carlo and Quasi–Monte Carlo Option Pricing Under the Variance Gamma Model
  102. Inverting the symmetrical beta distribution
  103. Splitting for Rare-Event Simulation
  104. Variance Reduction in the Simulation of Call Centers
  105. The application of forecasting techniques to modeling emergency medical system calls in Calgary, Alberta
  106. Improved long-period generators based on linear recurrences modulo 2
  107. Chapter 3 Uniform Random Number Generation
  108. Modeling and Optimization Problems in Contact Centers
  109. Splitting with weight windows to control the likelihood ratio in importance sampling
  110. On the xorshift random number generators
  111. Control Variates for Quasi-Monte Carlo
  112. Combination of General Antithetic Transformations and Control Variables
  113. Modeling Daily Arrivals to a Telephone Call Center
  114. On the Deng-Lin random number generators and related methods
  115. Polynomial Integration Lattices
  116. Guest introduction
  117. Combined generators with components from different families
  118. Randomized Polynomial Lattice Rules for Multivariate Integration and Simulation
  119. An Object-Oriented Random-Number Package with Many Long Streams and Substreams
  120. A Dynamic Programming Procedure for Pricing American-Style Asian Options
  121. Construction of Equidistributed Generators Based on Linear Recurrences Modulo 2
  122. Sparse Serial Tests of Uniformity for Random Number Generators
  123. On selection criteria for lattice rules and other quasi-Monte Carlo point sets
  124. On the performance of birthday spacings tests with certain families of random number generators
  125. Estimating small cell-loss ratios in ATM switches via importance sampling
  126. Global Stochastic Optimization with Low-Dispersion Point Sets
  127. Variance Reduction via Lattice Rules
  128. Close-Point Spatial Tests and Their Application to Random Number Generators
  129. Extensible Lattice Sequences for Quasi-Monte Carlo Quadrature
  130. Central Limit Theorems for Stochastic Optimization Algorithms Using Infinitesimal Perturbation Analysis
  131. Bootstrap confidence intervals for ratios of expectations
  132. Beware of linear congruential generators with multipliers of the form a = ±2 q ±2 r
  133. Lattice computations for random numbers
  134. Good Parameters and Implementations for Combined Multiple Recursive Random Number Generators
  135. Asymptotic Efficiency of Perturbation-Analysis-Based Stochastic Approximation with Averaging
  136. Quasi-Monte Carlo via linear shift-register sequences
  137. Tables of linear congruential generators of different sizes and good lattice structure
  138. Tables of maximally equidistributed combined LFSR generators
  139. Variance reduction of Monte Carlo and randomized quasi-Monte Carlo estimators for stochastic volatility models in finance
  140. Budget-Dependent Convergence Rate of Stochastic Approximation
  141. Random Number Generators: Selection Criteria and Testing
  142. Guest editors' introduction: special issue on uniform random number generation
  143. Tests based on sum-functions of spacings for uniform random numbers
  144. A random number generator based on the combination of four LCGs
  145. An Implementation of the Lattice and Spectral Tests for Multiple Recursive Linear Random Number Generators
  146. Distribution properties of multiply-with-c arry random number generators
  147. Bad Lattice Structures for Vectors of Nonsuccessive Values Produced by Some Linear Recurrences
  148. Uniform random number generators
  149. Combining the Stochastic Counterpart and Stochastic Approximation Methods
  150. Functional Estimation with Respect to a Threshold Parameter via Dynamic Split-and-Merge
  151. Combined Multiple Recursive Random Number Generators
  152. Importance sampling for large ATM-type queueing networks
  153. Maximally equidistributed combined Tausworthe generators
  154. Orbits and lattices for linear random number generators with composite moduli
  155. Linear recurrences with carry as uniform random number generators
  156. Uniform random number generation
  157. Stochastic Optimization by Simulation: Convergence Proofs for the GI/G/1 Queue in Steady-State
  158. Gradient estimation via perturbation analysis, by Paul Glasserman, Kluwer, Boston. MA, 1991, 221 pp.
  159. Convergence of stochastic approximation coupled with perturbation analysis in a class of manufacturing flow control models
  160. On the lattice structure of certain linear congruential sequences related to AWC/SWB generators
  161. On the lattice structure of the add-with-carry and subtract-with-borrow random number generators
  162. A search for good multiple recursive random number generators
  163. Two approaches for estimating the gradient in functional form
  164. On the distribution of
  165. Convergence rates for steady-state derivative estimators
  166. Testing random number generators
  167. Analysis of add-with-carry and subtract-with-borrow generators
  168. Structural Properties for Two Classes of Combined Random Number Generators
  169. Efficient and portable combined Tausworthe random number generators
  170. Implementing a random number package with splitting facilities
  171. Structural properties for two classes of combined random number generators
  172. Random numbers for simulation
  173. Noncooperative stochastic games under a n-stage local contraction assumption
  174. A tutorial on uniform variate generation
  175. About polynomial-time “unpredictable” generators
  176. Efficient and portable combined random number generators
  177. Computing optimal checkpointing strategies for rollback and recovery systems
  178. Discrete Event Dynamic Programming with Simultaneous Events
  179. Computing transfer lines performance measures using dynamic programming
  180. Dynamic programming solution to the stochastic multiple lot dispatching in an FMS
  181. Random Number Generation
  182. Software for Random Number Generation
  183. Randomized Quasi-Monte Carlo Simulation of Markov Chains with an Ordered State Space
  184. A Fast Jump Ahead Algorithm for Linear Recurrences in a Polynomial Space
  185. Comparison of Point Sets and Sequences for Quasi-Monte Carlo and for Random Number Generation
  186. A java library for simulating contact centers
  187. Fast Random Number Generators Based on Linear Recurrences Modulo 2: Overview and Comparison
  188. Modeling and Simulation of Call Centers
  189. Simulation in Java with SSJ
  190. Approximate solutions to continuous stochastic games