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Estimation for Hidden Processes

by Yves Rozenholc

 

10 Oct 2007 (Updated 10 Oct 2007)

No BSD License  

Nonparametric estimation of density, regression or variance functions for hidden processes using mod

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Description

This package called EstimHidden is devoted to the non parametric estimation using model selection procedures of

1/ the density of X in a convolution model where Z=X+noise1 is observed

2/ the functions b (drift) and s^2 (volatility) in an "errors in variables" model where Z and Y are observed and assumed to follow:
         Z=X+noise1 and Y=b(X)+s(X)*noise2.

3/ the functions b (drift) and s^2 (volatility) in an stochastic volatility model where Z is observed and follows:
          Z=X+noise1 and X_{i+1} = b(X_i) + s(X_i)*noise2

in any cases the density of noise1 is known. We consider three cases for this density : Gaussian ('normal'), Laplace ('symexp') and log(Chi2) ('logchi2)

See function DeconvEstimate.m and examples in files ExampleDensity.m and ExampleRegression.m

Authors : F. COMTE and Y. ROZENHOLC

For more information, see the following references:

DENSITY DECONVOLUTION
%%%%%%%%%%%%%%%%%%%

1/ "Penalized contrast estimator for density deconvolution", The Canadian Journal of Statistics, 34, 431-452, (2006) b

MATLAB release MATLAB 7.4 (R2007a)
Zip File Content  
Other Files
EstimHidden/.DS_Store,
__MACOSX/EstimHidden/._.DS_Store,
EstimHidden/CoefConv.m,
__MACOSX/EstimHidden/._CoefConv.m,
EstimHidden/DeconvCtr.m,
__MACOSX/EstimHidden/._DeconvCtr.m,
EstimHidden/DeconvEstimate.m,
__MACOSX/EstimHidden/._DeconvEstimate.m,
EstimHidden/DeconvOrd.m,
__MACOSX/EstimHidden/._DeconvOrd.m,
EstimHidden/DeconvPen.m,
__MACOSX/EstimHidden/._DeconvPen.m,
EstimHidden/DeconvPenCtr.m,
__MACOSX/EstimHidden/._DeconvPenCtr.m,
EstimHidden/DeconvSimul.m,
__MACOSX/EstimHidden/._DeconvSimul.m,
EstimHidden/drift.m,
__MACOSX/EstimHidden/._drift.m,
EstimHidden/ExampleDensity.m,
__MACOSX/EstimHidden/._ExampleDensity.m,
EstimHidden/ExampleRegression.m,
__MACOSX/EstimHidden/._ExampleRegression.m,
EstimHidden/FTempiric.c,
__MACOSX/EstimHidden/._FTempiric.c,
EstimHidden/FTempiric.m,
__MACOSX/EstimHidden/._FTempiric.m,
EstimHidden/FTempiric.mexglx,
EstimHidden/FTempiric.mexmac,
EstimHidden/FTlogchi2.m,
__MACOSX/EstimHidden/._FTlogchi2.m,
EstimHidden/FTnormal.m,
__MACOSX/EstimHidden/._FTnormal.m,
EstimHidden/FTsymexp.m,
EstimHidden/GARCH.m,
__MACOSX/EstimHidden/._GARCH.m,
EstimHidden/IntByTrapz.m,
__MACOSX/EstimHidden/._IntByTrapz.m,
EstimHidden/mcgama.m,
__MACOSX/EstimHidden/._mcgama.m,
EstimHidden/normal.m,
EstimHidden/ReadMe.m,
__MACOSX/EstimHidden/._ReadMe.m,
EstimHidden/sincard.c,
__MACOSX/EstimHidden/._sincard.c,
EstimHidden/sincard.mexmac,
EstimHidden/SinCardBasis.m,
__MACOSX/EstimHidden/._SinCardBasis.m,
EstimHidden/symexp.m,
EstimHidden/volatility.m,
__MACOSX/EstimHidden/._volatility.m
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Tag Applied By Date/Time
statistics Yves Rozenholc 22 Oct 2008 09:30:57
probability Yves Rozenholc 22 Oct 2008 09:30:57
nonparametric estimation Yves Rozenholc 22 Oct 2008 09:30:57
model selec Yves Rozenholc 22 Oct 2008 09:30:57
deconvolution Yves Rozenholc 22 Oct 2008 09:30:57
hidden processes Yves Rozenholc 22 Oct 2008 09:30:57
deconvolution Justin Abbott 02 Dec 2008 19:28:14
 

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