Separating multipaths by global optimization of a multidimensional matched filter. - Bradley M. Bell; Terry E. Ewart (IEEE Trans. Acoust. Speech Signal Process., 1986)

A two step Burg algorithm [spectral analysis]. - Bradley M. Bell; Donald B. Percival (IEEE Trans. Signal Process., 1991)

A matched filter network for estimating pulse arrival times. - Bradley M. Bell; Stephen A. Reynolds (IEEE Trans. Signal Process., 1991)

The iterated Kalman filter update as a Gauss-Newton method. - Bradley M. Bell; Frederick W. Cathey (IEEE Trans. Autom. Control., 1993)

The Iterated Kalman Smoother as a Gauss-Newton Method. - Bradley M. Bell (SIAM J. Optim., 1994)

The marginal likelihood for parameters in a discrete Gauss-Markov process. - Bradley M. Bell (IEEE Trans. Signal Process., 2000)

Approximating the marginal likelihood estimate for models with random parameters. - Bradley M. Bell (Appl. Math. Comput., 2001)

Bayesian Deconvolution of Functions in RKHS Using MCMC Techniques. - Gianluigi Pillonetto; Bradley M. Bell (System Modelling and Optimization, 2003)

Bayes and empirical Bayes semi-blind deconvolution using eigenfunctions of a prior covariance. - Gianluigi Pillonetto; Bradley M. Bell (Autom., 2007)

Optimal smoothing of non-linear dynamic systems via Monte Carlo Markov chains. - Gianluigi Pillonetto; Bradley M. Bell (Autom., 2008)

An inequality constrained nonlinear Kalman-Bucy smoother by interior point likelihood maximization. - Bradley M. Bell; James V. Burke; Gianluigi Pillonetto (Autom., 2009)

An 1 -Laplace Robust Kalman Smoother. - Aleksandr Y. Aravkin; Bradley M. Bell; James V. Burke; Gianluigi Pillonetto (IEEE Trans. Autom. Control., 2011)

Distributed Kalman smoothing in static Bayesian networks. - Gianluigi Pillonetto; Bradley M. Bell; Simone Del Favero (Autom., 2013)

The exact relationship between regularization in RKHS and Bayesian estimation of Gaussian random fields - Aleksandr Y. Aravkin; Bradley M. Bell; James V. Burke; Gianluigi Pillonetto (CoRR, 2013)

A Statistical Model and Estimation of Disease Rates as Functions of Age and Time. - Bradley M. Bell; Abraham D. Flaxman (SIAM J. Sci. Comput., 2013)

The Connection Between Bayesian Estimation of a Gaussian Random Field and RKHS. - Aleksandr Y. Aravkin; Bradley M. Bell; James V. Burke; Gianluigi Pillonetto (IEEE Trans. Neural Networks Learn. Syst., 2015)

Newton step methods for AD of an objective defined using implicit functions. - Bradley M. Bell; Kasper Kristensen (Optim. Methods Softw., 2018)

Computing Sparse Jacobians and Hessians Using Algorithmic Differentiation. - Bradley M. Bell; Kasper Kristensen (CoRR, 2021)