scholarly journals Non-parametric estimation of forecast distributions in non-Gaussian, non-linear state space models

2013 ◽  
Vol 29 (3) ◽  
pp. 411-430 ◽  
Author(s):  
Jason Ng ◽  
Catherine S. Forbes ◽  
Gael M. Martin ◽  
Brendan P.M. McCabe
Keyword(s):  
State Space ◽  
Parametric Estimation ◽  
State Space Models ◽  
Non Linear ◽  
Linear State ◽  
Non Gaussian ◽  
Non Parametric Estimation ◽  
Non Parametric

Bayesian identification of non-linear state-space models: Part I- Input design

2013 ◽  
Vol 46 (32) ◽  
pp. 774-779 ◽  
Author(s):  
Aditya Tulsyan ◽  
Swanand R Khare ◽  
Biao Huang ◽  
R. Bhushan Gopaluni ◽  
J. Fraser Forbes
Keyword(s):  
State Space ◽  
State Space Models ◽  
Bayesian Identification ◽  
Input Design ◽  
Non Linear ◽  
Linear State

Bayesian identification of non-linear state-space models: Part II- Error analysis

2013 ◽  
Vol 46 (32) ◽  
pp. 631-636 ◽  
Author(s):  
Aditya Tulsyan ◽  
Biao Huang ◽  
R. Bhushan Gopaluni ◽  
J. Fraser Forbes
Keyword(s):  
Error Analysis ◽  
State Space ◽  
State Space Models ◽  
Bayesian Identification ◽  
Non Linear ◽  
Linear State

Non-parametric estimation of reference intervals in small non-Gaussian sample sets

2009 ◽  
Vol 14 (4) ◽  
pp. 185-192 ◽  
Author(s):  
Johan Bjerner ◽  
Elvar Theodorsson ◽  
Eivind Hovig ◽  
Anders Kallner
Keyword(s):  
Reference Intervals ◽  
Parametric Estimation ◽  
Gaussian Sample ◽  
Non Gaussian ◽  
Non Parametric Estimation ◽  
Non Parametric
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