# Semiparametric model

## Papers overview

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Highly Cited

2007

Highly Cited

2007

- 2007

Your use of the JSTOR archive indicates your acceptance of JSTOR's Terms and Conditions of Use, available at http://www.jstor.orgâ€¦Â (More)

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Highly Cited

2006

Highly Cited

2006

- 2006

A class of semiparametric fractional autoregressive GARCH models (SEMIFARGARCH), which includes deterministic trends, differenceâ€¦Â (More)

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Highly Cited

2005

Highly Cited

2005

- AISTATS
- 2005

We propose a semiparametric model for regression problems involving multiple response variables. The model makes use of a set ofâ€¦Â (More)

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Highly Cited

2004

Highly Cited

2004

- 2004

Semiparametric regression models are very useful for longitudinal data analysis. The complexity of semiparametric models and theâ€¦Â (More)

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Highly Cited

2001

Highly Cited

2001

- 2001

This paper develops and implements semiparametric methods for estimating binary response (binary choice) models with continuousâ€¦Â (More)

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Highly Cited

2000

Highly Cited

2000

Highly Cited

2000

- 2000

This paper considers the nonparametric and semiparametric methods for estimating regression models with continuous endogenousâ€¦Â (More)

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Highly Cited

1999

Highly Cited

1999

- 1999

Consider a study whose design calls for the study subjects to be followed from enrollment (time t = 0) to time t = T , at whichâ€¦Â (More)

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Highly Cited

1997

Highly Cited

1997

- IEEE Trans. Signal Processing
- 1997

The semiparametric statistical model is used to formulate the problem of blind source separation. The method of estimatingâ€¦Â (More)

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Highly Cited

1993

Highly Cited

1993

- 1993

ing from scaling considerations (see (C8.b)), (B2) AYJ=AN [I yv(vj; 0, hNp)], where AN is a function that depends on g a pilot orâ€¦Â (More)

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