scholarly journals Autoregressive Model-Based Signal Reconstruction for Automotive Radar Interference Mitigation

2020 ◽  
pp. 1-1
Author(s):  
Muhammad Rameez ◽  
Mattias Dahl ◽  
Mats I. Pettersson
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.


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