Unverified50% confidenceFactExact time
In i.i.d. sampling, the statistical error for n samples typically decays at the rate of 1/√n.
1
Sources
50%
Confidence
Long-term
Relevance
10/12/2026
First Seen
Sources
Related Entities
Related Claims
Unverified蒙特卡洛估计的标准误差与模拟次数N的关系为标准误差正比于1/√N80% similarUnverifiedUnder the total variation metric, the average error is Õ_p(n^(−β/(d_x+d_y+2β))).74% similarUnverifiedUnder the assumption that the true mapping is uniformly random, the paper proves a lower bound on the error rate of E ≥ (M/N)δ*(B/M) + (1-M/N)(1-1/K).72% similarUnverifiedWhen the quantile level τ=0.5, quantile loss degenerates to Mean Absolute Error (MAE).72% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1002223API
curl https://kongchang.com/api/v1/knowledge/claims/1002223MCP
get_claim(id=1002223)