Sentence examples for joint estimations from inspiring English sources

The L1-norm loss term is robust to inaccurate 2D joint estimations.

However, their algorithm still requires the lengthy adaptive iteration process due to joint estimations.

From this noise reference u(n), the compensation algorithm acts as a noise cancellation algorithm that first produces joint estimations of the fractional delay (hat {delta }_{n}) and the complex gain (hat {beta }_{TxL}(n)) in order to delay and scale the reference u(n) before it can be properly subtracted to the observed signal d(n) (see (1)).

Because of the importance of jointly considering multiple parameters for reliable estimations [40], [45], we performed joint estimations (co-estimations) of all key historical and demographic parameters.

To solve this new problem, we propose an estimator for joint estimation of fundamental frequencies and DOAs of multiple sources.

The joint estimation has to estimate both x and the nuisance term u while the other two estimation approaches remove the impact of u before estimating x.

For example, Pawitan et al. [ 8] showed that it is possible to get less bias by estimating π0 and f1 z) using a joint estimation method.

When joint estimation methods were used, bivariate probit/Tobit models were estimated.

The second part reviews recent work on estimating continuous time models with emphasis on simulation-based techniques and joint estimation of the risk neutral and objective probability distributions.

Finally, the paper solves the original joint estimation problem.

In a second synthetic study the joint estimation of transmissivities and recharge rates is illustrated.