… In this case a computationally efficient and robust sequential algorithm that process one …
the stochastic model equation is represented by an ensemble of state vectors. In the model …

… for heteroskedasticity using White's consistent covariance matrix but are not robust to serial
… testing Gibrat's purely stochastic model. The validity of the new model is not contradicted …

… In other words, rhe model's robustness is also a prime consideration. Validation must …
deterministic and stochastic models is that deterministic models “presume that a system Gr process …

… 分布式传递对准半实物仿真系统的设计 Design of Hardware-in-the-Loop Simulation of
Distributed Transfer Aligment System . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . WANG Leijie, CHEN …

… interactions across variations, the identification of the robustness of study results against
variations in an underlying study's characteristics requires a more rigorous assessment. Meta-…

… While this approach appears to be robust against changes in sensor placement, since it …
A stochastic model compatible with the non stationary property is the Hidden Markov Model (…

… We conducted a noise robustness analysis of our proposed R-Branchformer model, evaluating
its … other techniques to further enhance the robustness of our model in noisy conditions. …

… map are used to detect hands where the hand trajectory will take place in further step using
a robust stereo tracking … This part covers the procedures to design a sophisticated method for …

… we use an ANN to develop a nonparametric and robust model … ) in a series; we then use a
STARIMA specification to analyze … , a STARIMA model describes the local stochastic variations …

… stochastic and spatio-temporally dependent. In the optimal scheduling problem of wind power
grid-connected power system, … a loss in EG and effectively enhance the PG robustness. …