Discrimination of random, time‐varying spectra with statistical constraints

1994 ◽  
Vol 95 (3) ◽  
pp. 1490-1500 ◽  
Author(s):  
Robert A. Lutfi
Keyword(s):  
2021 ◽  
Vol 127 (9) ◽  
Author(s):  
R. Carminati ◽  
H. Chen ◽  
R. Pierrat ◽  
B. Shapiro

2019 ◽  
Vol 36 (2) ◽  
pp. 331-346
Author(s):  
Johannes Ruf ◽  
James Lewis Wolter

Nonparametric identification of the Mixed Hazard model is shown. The setup allows for covariates that are random, time-varying, satisfy a rich path structure and are censored by events. For each set of model parameters, an observed process is constructed. The process corresponding to the true model parameters is a martingale, the ones corresponding to incorrect model parameters are not. The unique martingale structure yields a family of moment conditions that only the true parameters can satisfy. These moments identify the model and suggest a GMM estimation approach. The moments do not require use of the hazard function.


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