scholarly journals Stochastic Version of EM Algorithm for Nonlinear Random ChangePoint Models

Author(s):  
Hongbin Zhang ◽  
Binod Manandhar
2011 ◽  
Vol E94-B (2) ◽  
pp. 533-545 ◽  
Author(s):  
Kazushi MURAOKA ◽  
Kazuhiko FUKAWA ◽  
Hiroshi SUZUKI ◽  
Satoshi SUYAMA

Filomat ◽  
2017 ◽  
Vol 31 (12) ◽  
pp. 3611-3626 ◽  
Author(s):  
Abdul Khan ◽  
Vivek Kumar ◽  
Satish Narwal ◽  
Renu Chugh

Many popular iterative algorithms have been used to approximate fixed point of contractive type operators. We define the concept of generalized ?-weakly contractive random operator T on a separable Banach space and establish Bochner integrability of random fixed point and almost sure stability of T with respect to several random Kirk type algorithms. Examples are included to support new results and show their validity. Our work generalizes, improves and provides stochastic version of several earlier results by a number of researchers.


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