Bradley M. Bell

Publication Activity (10 Years)

Years Active: 1986-2021
Publications (10 Years): 3

Top Topics

Gaussian Random Field

Probabilistic Modeling

Statistical Model

Bayesian Estimation

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

SIAM J. Sci. Comput.

Publications

Bradley M. Bell, Kasper Kristensen
Computing Sparse Jacobians and Hessians Using Algorithmic Differentiation. CoRR (2021)
Bradley M. Bell, Kasper Kristensen
Newton step methods for AD of an objective defined using implicit functions. Optim. Methods Softw. 33 (4-6) (2018)
Aleksandr Y. Aravkin, Bradley M. Bell, James V. Burke, Gianluigi Pillonetto
The Connection Between Bayesian Estimation of a Gaussian Random Field and RKHS. IEEE Trans. Neural Networks Learn. Syst. 26 (7) (2015)
Bradley M. Bell, Abraham D. Flaxman
A Statistical Model and Estimation of Disease Rates as Functions of Age and Time. SIAM J. Sci. Comput. 35 (2) (2013)
Gianluigi Pillonetto, Bradley M. Bell, Simone Del Favero
Distributed Kalman smoothing in static Bayesian networks. Autom. 49 (4) (2013)
Aleksandr Y. Aravkin, Bradley M. Bell, James V. Burke, Gianluigi Pillonetto
The exact relationship between regularization in RKHS and Bayesian estimation of Gaussian random fields CoRR (2013)
Aleksandr Y. Aravkin, Bradley M. Bell, James V. Burke, Gianluigi Pillonetto
-Laplace Robust Kalman Smoother. IEEE Trans. Autom. Control. 56 (12) (2011)
Bradley M. Bell, James V. Burke, Gianluigi Pillonetto
An inequality constrained nonlinear Kalman-Bucy smoother by interior point likelihood maximization. Autom. 45 (1) (2009)
Gianluigi Pillonetto, Bradley M. Bell
Optimal smoothing of non-linear dynamic systems via Monte Carlo Markov chains. Autom. 44 (7) (2008)
Gianluigi Pillonetto, Bradley M. Bell
Bayes and empirical Bayes semi-blind deconvolution using eigenfunctions of a prior covariance. Autom. 43 (10) (2007)
Gianluigi Pillonetto, Bradley M. Bell
Bayesian Deconvolution of Functions in RKHS Using MCMC Techniques. System Modelling and Optimization (2003)
Bradley M. Bell
Approximating the marginal likelihood estimate for models with random parameters. Appl. Math. Comput. 119 (1) (2001)
Bradley M. Bell
The marginal likelihood for parameters in a discrete Gauss-Markov process. IEEE Trans. Signal Process. 48 (3) (2000)
Bradley M. Bell
The Iterated Kalman Smoother as a Gauss-Newton Method. SIAM J. Optim. 4 (3) (1994)
Bradley M. Bell, Frederick W. Cathey
The iterated Kalman filter update as a Gauss-Newton method. IEEE Trans. Autom. Control. 38 (2) (1993)
Bradley M. Bell, Stephen A. Reynolds
A matched filter network for estimating pulse arrival times. IEEE Trans. Signal Process. 39 (2) (1991)
Bradley M. Bell, Donald B. Percival
A two step Burg algorithm [spectral analysis]. IEEE Trans. Signal Process. 39 (1) (1991)
Bradley M. Bell, Terry E. Ewart
Separating multipaths by global optimization of a multidimensional matched filter. IEEE Trans. Acoust. Speech Signal Process. 34 (5) (1986)