surrogate carlo uncertainty monte modeling
Research gap analysis derived from 2 biology papers in our local library.
The gap
The method's performance compared to other emerging uncertainty propagation techniques beyond Monte Carlo family methods (such as polynomial chaos expansion or surrogate modeling approaches) is not discussed.; Crude Monte Carlo simulations were used for uncertainty quantification; more advanced sampling or surrogate modeling approaches could improve computational efficiency.
Research trend
Emerging — attention growing, methods still coalescing.
Supporting evidence — 2 representative gaps
- Physics-Based Flood Fragility Modeling of CLT Shear Walls (2026) · doi
Crude Monte Carlo simulations were used for uncertainty quantification; more advanced sampling or surrogate modeling approaches could improve computational efficiency.
Keywords: crude monte carlo simulations used uncertainty quantification advanced sampling surrogate modeling approaches improve computational efficiency - Simple and efficient uncertainty propagation within numerical simulations involving low-dimensional random spaces (2026) · doi
The method's performance compared to other emerging uncertainty propagation techniques beyond Monte Carlo family methods (such as polynomial chaos expansion or surrogate modeling approaches) is not discussed.
Keywords: performance compared emerging uncertainty propagation techniques beyond monte carlo family polynomial chaos expansion surrogate modeling
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