Parameter Estimation for a Mixture of Two Univariate Gaussian Distributions: A Comparative Analysis of The Proposed and Maximum Likelihood Methods

2016 ◽  
Vol 12 (1) ◽  
pp. 1-8
Author(s):  
Cliff Kikawa ◽  
Michael Shatalov ◽  
Petrus Kloppers ◽  
Andrew Mkolesia
2018 ◽  
Vol 160 ◽  
pp. 1-10 ◽  
Author(s):  
Spyridon Patmanidis ◽  
Alexandros C. Charalampidis ◽  
Ioannis Kordonis ◽  
Georgios D. Mitsis ◽  
George P. Papavassilopoulos

2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Alain Hecq ◽  
Li Sun

AbstractWe propose a model selection criterion to detect purely causal from purely noncausal models in the framework of quantile autoregressions (QAR). We also present asymptotics for the i.i.d. case with regularly varying distributed innovations in QAR. This new modelling perspective is appealing for investigating the presence of bubbles in economic and financial time series, and is an alternative to approximate maximum likelihood methods. We illustrate our analysis using hyperinflation episodes of Latin American countries.


Econometrica ◽  
1984 ◽  
Vol 52 (3) ◽  
pp. 681 ◽  
Author(s):  
C. Gourieroux ◽  
A. Monfort ◽  
A. Trognon

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