2D autoregressive model‐based dynamic correlated massive MU‐MIMO channel simulator

2017 ◽  
Vol 53 (17) ◽  
pp. 1228-1230 ◽  
Author(s):  
Tianyu Huang ◽  
Linhua Ma ◽  
Xing Hu ◽  
Shaocheng Huang ◽  
Shiping Liu
2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Savi Virolainen

Abstract We introduce a new mixture autoregressive model which combines Gaussian and Student’s t mixture components. The model has very attractive properties analogous to the Gaussian and Student’s t mixture autoregressive models, but it is more flexible as it enables to model series which consist of both conditionally homoscedastic Gaussian regimes and conditionally heteroscedastic Student’s t regimes. The usefulness of our model is demonstrated in an empirical application to the monthly U.S. interest rate spread between the 3-month Treasury bill rate and the effective federal funds rate.


2019 ◽  
Vol 24 (4) ◽  
pp. 2721-2726 ◽  
Author(s):  
Xin Zhao ◽  
Jin Peng ◽  
Jie Liu ◽  
Xuejun Zhou

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