Local Linearization Based Subvector Inference in Moment Inequality Models

2021 ◽  
Author(s):  
Xinyue Bei
Keyword(s):  
Moment Inequality ◽  
Local Linearization

A Dynamic Programming Track-Before-Detect Algorithm Based on Local Linearization for Non-Gaussian Clutter Background

2016 ◽  
Vol 25 (3) ◽  
pp. 583-590 ◽  
Author(s):  
Daikun Zheng ◽  
Xing Qin ◽  
Shouyong Wang
Keyword(s):  
Dynamic Programming ◽  
Local Linearization ◽  
Non Gaussian ◽  
Track Before Detect

scholarly journals STUDYING THE STABILITY BY USING LOCAL LINEARIZATION METHOD

2020 ◽  
Vol 2 (1) ◽  
pp. 27-31
Author(s):  
Abdulghafoor Jasim Salim ◽  
Kais Ismail Ebrahem ◽  
Suhirman
Keyword(s):  
Singular Point ◽  
Limit Cycle ◽  
Autoregressive Model ◽  
Stable Limit Cycle ◽  
Linearization Method ◽  
Stable Limit ◽  
Local Linearization ◽  
Non Linear ◽  
The Stability ◽  
Local Linearization Method

Abstract: In this paper we study the stability of one of a non linear autoregressive model with trigonometric term  by using local linearization method proposed by Tuhro Ozaki .We find the singular point ,the stability of the singular point and the limit cycle. We conclude  that the proposed model under certain conditions have a non-zero singular point which is  a asymptotically salable ( when  0 ) and have an  orbitaly stable limit cycle . Also we give some examples in order to explain the method. Key Words : Non-linear Autoregressive model; Limit cycle; singular point; Stability.

scholarly journals Accounting for Expectational and Structural Error in Binary Choice Problems: A Moment Inequality Approach

2013 ◽  
Author(s):  
Michael Dickstein ◽  
Eduardo Morales
Keyword(s):  
Binary Choice ◽  
Moment Inequality ◽  
Structural Error

An application of rosenthal's moment inequality to the strong law of large numbers

1985 ◽  
Vol 3 (3) ◽  
pp. 131-133 ◽  
Author(s):  
Rainer Wittmann
Keyword(s):  
Law Of Large Numbers ◽  
Moment Inequality ◽  
Strong Law ◽  
Large Numbers
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