Share your thoughts, 1 month free Claude Pro on usSee more

Bayesian Recursive Parameter Calibration on Synthetic Drifting scenario v1 (test)

0.014RMSE ($ heta$)

B-BRPC-E

Updated 26d ago

Evaluation Results

Method	Links
B-BRPC-E 2026.05		0.014	0.025	0.484	0.302	11.774	39.402
C-BRPC-F 2026.05		0.014	0.024	0.581	0.376	4.774	16.785
B-BRPC-P 2026.05		0.014	0.032	0.408	0.247	4.44	88.171
C-BRPC-E 2026.05		0.015	0.024	0.58	0.375	4.774	19.238
BRPC-F 2026.05		0.015	0.024	1.16	0.764	-	15.662
B-BRPC-F 2026.05		0.015	0.025	0.484	0.302	11.758	37.49
BRPC-P 2026.05		0.015	0.024	0.728	0.418	-	75.991
C-BRPC-P 2026.05		0.015	0.024	0.558	0.334	1.782	40.775
B-BRPC-RRA 2026.05		0.015	0.039	0.437	0.24	8.128	70.667
DA(WaldPF) 2026.05		0.09	0.064	1.909	1.09	-	1.279
DA(EnKF) 2026.05		0.109	0.066	0.548	0.295	-	0.236