Formation matrix

In statistics and information theory, the expected formation matrix of a likelihood function is the matrix inverse of the Fisher information matrix… (More)
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Highly Cited
2012
Highly Cited
2012
We transform the outputs of each hidden neuron in a multi-layer perceptron network to have zero output and zero slope on average… (More)
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Highly Cited
2012
Highly Cited
2012
In this paper we address the following question: “Can we approximately sample from a Bayesian posterior distribution if we are… (More)
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Highly Cited
2010
Highly Cited
2010
We propose a class of observation driven time series models called generalized autoregressive score models for which the scaled… (More)
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Highly Cited
2009
Highly Cited
2009
In this work, we consider the two-way relay network (TWRN) where two terminals exchange their information through a relay node in… (More)
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Highly Cited
2008
Highly Cited
2008
In this paper, we present incremental smoothing and mapping (iSAM), which is a novel approach to the simultaneous localization… (More)
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Highly Cited
2006
Highly Cited
2006
Three or more base stations (BS) making time-of-arrival measurements of a signal from a mobile station (MS) can locate the MS… (More)
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Highly Cited
2004
Highly Cited
2004
This paper proposes a regression model where the response is beta distributed using a parameterization of the beta law that is… (More)
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Highly Cited
2000
Highly Cited
2000
We introduce a Lagrange Multiplier (LM) test for the constant-correlation hypothesis in a multivariate GARCH model. The test… (More)
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Highly Cited
1998
Highly Cited
1998
This paper presents a simple expression for the Cramer-Rao bound (CRB) for parametric estimation under differentiable… (More)
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Highly Cited
1997
Highly Cited
1997
We discuss Bayesian methods for model averaging and model selection among Bayesian-network models with hidden variables. In… (More)
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