scholarly journals A normal hierarchical model and minimum contrast estimation for random intervals

2014 ◽  
Vol 67 (2) ◽  
pp. 313-333 ◽  
Author(s):  
Yan Sun ◽  
Dan Ralescu
1991 ◽  
Vol 53 (6) ◽  
pp. 547-551 ◽  
Author(s):  
M. V. Gal'chenko ◽  
V. A. Gurevich

2013 ◽  
Vol 58 (3) ◽  
pp. 550-583
Author(s):  
M Ruiz-Medina ◽  
M Ruiz-Medina ◽  
Rosa Maria Crujeiras ◽  
Rosa Maria Crujeiras

2008 ◽  
Vol 45 (1) ◽  
pp. 150-162
Author(s):  
R. McVinish

The class of processes formed as the aggregation of Ornstein-Uhlenbeck processes has proved useful in modeling time series from a number of areas and includes several interesting special cases. This paper examines the second-order properties of this class. Bounds on the one-step prediction error variance are proved and consistency of the minimum contrast estimation is demonstrated.


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