- key: hickirsor_2026_qmc_tutorial
  cite: HKS26
  short: "Hickernell, Kirk, Sorokin (2026)"
  title: "Quasi-Monte Carlo Methods: What, Why, and How?"
  authors:
    - Fred J. Hickernell
    - Nathan Kirk
    - Aleksei G. Sorokin
  year: 2026
  type: inproceedings
  venue: "Monte Carlo and Quasi-Monte Carlo 2024"
  series: "Springer Proceedings in Mathematics & Statistics"
  volume: 522
  pages: "3–40"
  doi: "10.1007/978-3-032-10590-5_1"
  doi_url: "https://doi.org/10.1007/978-3-032-10590-5_1"
  arxiv: "arXiv:2502.03644"
  arxiv_url: "https://arxiv.org/abs/2502.03644"
  publisher_url: "https://link.springer.com/chapter/10.1007/978-3-032-10590-5_1"
  tags: [qmc, tutorial]
  related_projects: [QMCPy, QuasiMC.jl]
  featured: true
  description: "A tutorial on what quasi-Monte Carlo is, why it can improve upon ordinary Monte Carlo, and how problems can be formulated to benefit from QMC."