We introduce a new class of nonstationary covariance functions for spatial modelling. Nonstationary covariance functions allow the model to adapt to spatial surfaces whose variability changes with location. The class includes a nonstationary version of the Matérn stationary covariance, in which the differentiability of the spatial surface is controlled by a parameter, freeing one from fixing th...

the present study is an attempt toward evaluating the performance of portfolios and assets selecting using modified mean-variance models by utilizing a non-parametric efficiency analysis tool, namely data envelopment analysis (dea). huge amounts of money are being invested in financial market. as a result, portfolio performance evaluation has created a great deal of interest among people. we kn...

We propose an online speech source separation technique in a meeting situation. The purpose in this paper is online extraction of each speech source from multichannel microphone input signal which is contaminated by speech sources of the other persons (noise sources). The proposed method is one of adaptive beamformers. The proposed method estimates the noise covariance matrix of the multichanne...

abstract background: pregnancy can be in conflict with sexual function which can be affected by physical and psychological changes during pregnancy. therefore, comparison of the effect of face‑to‑face education with group education on sexual function during pregnancy in couples was the purpose of this research. materials and methods: in this quasi‑experimental pre‑test post‑test study, 64 pregn...

In this paper, a novel method based on a combination of Extended Kalman Filter (EKF) with Self-adaptive Differential Evolution (SaDE) algorithm to estimate rotor position, speed and machine states for a Permanent Magnet Synchronous Motor (PMSM) is proposed. In the proposed method, as a first step SaDE algorithm is used to tune the noise covariance matrices of state noise and measurement noise i...