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Highly Cited

2007

Highly Cited

2007

Matching as Nonparametric Preprocessing for Reducing Model Dependence in Parametric Causal Inference

Although published works rarely include causal estimates from more than a few model specifications, authors usually choose the… Expand

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Highly Cited

2007

Highly Cited

2007

Many papers have regressed non-parametric estimates of productive efficiency on environmental variables in two-stage procedures… Expand

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Highly Cited

2004

Highly Cited

2004

This paper presents a new hierarchical basis of arbitrary order for integral equations solved with the method of moments (MoM… Expand

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Highly Cited

2002

Highly Cited

2002

Assertions play an important role in the construction of robust software. Their use in programming languages dates back to the… Expand

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Highly Cited

2001

Highly Cited

2001

This paper introduces a general Bayesian framework for obtaining sparse solutions to regression and classification tasks… Expand

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Highly Cited

2000

Highly Cited

2000

We construct size distributions for carbonaceous and silicate grain populations in different regions of the Milky Way, LMC, and… Expand

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Highly Cited

1997

Highly Cited

1997

Low-order vector basis functions compatible with the Nedelec (1980) representations are widely used for electromagnetic field… Expand

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Highly Cited

1997

Highly Cited

1997

Probability and Random Variables Mathematical Description of Random Signals Response of Linear Systems to Random Inputs Wiener… Expand

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Highly Cited

1993

Highly Cited

1993

We offer simple quasi-likelihood methods for estimating regression models with a fractional dependent variable and for performing… Expand

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Highly Cited

1972

Highly Cited

1972

Higher-order programming languages (i.e., languages in which procedures or labels can occur as values) are usually defined by… Expand

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