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Recently, regularization methods have been employed to increase the estimation efficiency of the HRF; typically these methods produce more accurate HRF estimates than the least squares approach [Goutte, C., Nielsen, F.A., Hansen, L.K., 2000. Modeling the Haemodynamic Response in fMRI Using Smooth FIR Filters. IEEE Trans. Med. Imag. 19(1188 1201.]201188 1201.]
The future challenge will be to increase the estimation.
As discussed earlier, the stopping causes to lose the quality information and increase the estimation errors.
The SIR-PF with larger N will increase the estimation accuracy.
In order to increase the estimation accuracy, the noise is eliminated in time domain.
As the behavior of pedestrians depends on the architectural configuration, such information could be considered to increase the estimation accuracy.
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For instance, Yu et al. (2009) modeled air pollutant concentrations in North and South Carolina (USA) and found that the integration of soft information by the BME method effectively increased the estimation accuracy for O3 predictions compared with estimates derived using BME kriging.
Most importantly, as the sample size increased, the estimation error index TV and the accuracy of estimated total copy numbers or unphased genotypes were improved in the current algorithm, but not always in the previous procedures.
Comparing these results, we can remark that when increases the estimation error increases.
Analytical modeling reveals that the lever's compliance significantly increases the estimation error.
Meanwhile with n increasing, the estimation accuracy performs better, but the prediction error is worse.
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