So sánh phương pháp
Xem các phương pháp đã chọn cạnh nhau; những hàng khác biệt được làm nổi bật.
| Mô phỏng vi mô× | Định lượng Bất định× | |
|---|---|---|
| Lĩnh vực | Mô phỏng | Mô phỏng |
| Họ | Process / pipeline | Process / pipeline |
| Năm ra đời≠ | 1957 | Seminal modern form: 2002 |
| Người khởi xướng≠ | Guy Orcutt (concept, 1957); modern tax-transfer frameworks developed through EUROMOD and related projects | Norbert Wiener (polynomial chaos, 1938); extended to Wiener–Askey scheme by Xiu & Karniadakis (2002) |
| Loại≠ | Policy simulation / computational social science | Computational uncertainty analysis framework |
| Công trình gốc≠ | O'Donoghue, C. (Ed.) (2014). Handbook of Microsimulation Modelling. Emerald. DOI ↗ | Xiu, D. & Karniadakis, G.E. (2002). The Wiener-Askey Polynomial Chaos for Stochastic Differential Equations. SIAM Journal on Scientific Computing, 24(2), 619–644. DOI ↗ |
| Tên gọi khác≠ | Mikrosimülasyon, micro-simulation, policy microsimulation | UQ, polynomial chaos expansion, PCE, Kriging surrogate |
| Liên quan≠ | 5 | 9 |
| Tóm tắt≠ | Microsimulation is a computational method that simulates policy effects by operating directly on a population of individual micro-units — households, firms, patients — and applying rules to each unit according to its own demographic, economic, and behavioural characteristics. Developed conceptually by Guy Orcutt in 1957, it has become the standard tool for evaluating tax reform, pension systems, and health policy before implementation. | Uncertainty Quantification (UQ) is a computational framework for systematically measuring how uncertainty in the inputs of a model propagates into uncertainty in its outputs. Building on Wiener's polynomial chaos theory (1938) and formalised for general stochastic problems by Xiu and Karniadakis (2002), UQ uses two primary strategies: Polynomial Chaos Expansion (PCE), which represents the model output as a series of orthogonal polynomials matched to the input distributions, and Kriging (Gaussian process) surrogates, which replace an expensive simulation with a fast statistical approximation fitted to a small set of carefully chosen runs. |
| ScholarGateBộ dữ liệu ↗ |
|
|