Bradley M. Bell

According to our database1, Bradley M. Bell authored at least 18 papers between 1986 and 2021.

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Bibliography

2021
Computing Sparse Jacobians and Hessians Using Algorithmic Differentiation.
CoRR, 2021

2018
Newton step methods for AD of an objective defined using implicit functions.
Optim. Methods Softw., 2018

2015
The Connection Between Bayesian Estimation of a Gaussian Random Field and RKHS.
IEEE Trans. Neural Networks Learn. Syst., 2015

2013
A Statistical Model and Estimation of Disease Rates as Functions of Age and Time.
SIAM J. Sci. Comput., 2013

The exact relationship between regularization in RKHS and Bayesian estimation of Gaussian random fields
CoRR, 2013

Distributed Kalman smoothing in static Bayesian networks.
Autom., 2013

2011
An <sub>1</sub> -Laplace Robust Kalman Smoother.
IEEE Trans. Autom. Control., 2011

2009
An inequality constrained nonlinear Kalman-Bucy smoother by interior point likelihood maximization.
Autom., 2009

2008
Optimal smoothing of non-linear dynamic systems via Monte Carlo Markov chains.
Autom., 2008

2007
Bayes and empirical Bayes semi-blind deconvolution using eigenfunctions of a prior covariance.
Autom., 2007

2003
Bayesian Deconvolution of Functions in RKHS Using MCMC Techniques.
Proceedings of the System Modeling and Optimization, 2003

2001
Approximating the marginal likelihood estimate for models with random parameters.
Appl. Math. Comput., 2001

2000
The marginal likelihood for parameters in a discrete Gauss-Markov process.
IEEE Trans. Signal Process., 2000

1994
The Iterated Kalman Smoother as a Gauss-Newton Method.
SIAM J. Optim., 1994

1993
The iterated Kalman filter update as a Gauss-Newton method.
IEEE Trans. Autom. Control., 1993

1991
A matched filter network for estimating pulse arrival times.
IEEE Trans. Signal Process., 1991

A two step Burg algorithm [spectral analysis].
IEEE Trans. Signal Process., 1991

1986
Separating multipaths by global optimization of a multidimensional matched filter.
IEEE Trans. Acoust. Speech Signal Process., 1986


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