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A | |

asymptotic_elsq | Asymptotic Properties of Extended Least Squares Estimators |

B | |

bayes_inverse | Approximating the Bayesian inverse for nonlinear dynamical systems |

bikelist | A Bicycle Trip Packing List |

burg | A two step Burg algorithm |

C | |

ckbs | An Inequality Constrained Nonlinear Kalman-Bucy Smoother by Interior Point Likelihood Maximization |

ConsumeO2 | Estimating In Vitro Mitochondrial Oxygen Consumption During Muscle Contraction and Recovery: A Novel Approach that Accounts for Diffusion |

cppad_thread | A Multi-Core Benchmark Used to Improve Algorithmic Differentiation |

D | |

dismod_pde | A Statistical Model and Estimation of Disease Rates as Functions of Age and Time |

E | |

error | Software techniques for error correcting codes |

F | |

fedora_package | Fedora Packaging |

G | |

gamma | Generalized gamma parameter estimation and moment evaluation |

gauss_newton | A generalization of the Gauss-Newton method that solves extended least-squares problems |

gps | A method for GPS positioning |

H | |

home | Bradley M. Bell's Home Page |

I | |

implicit_ad | Algorithmic Differentiation of Implicit Functions and Optimal Values |

J | |

journals | Journals Related to Brad's Research |

L | |

l1_rks | An L1-Laplace Robust Kalman Smoother |

line_search | An Improved Line Search Technique |

links | Brad's Internet Links |

M | |

marginal_example | The Importance of Marginal Likelihood Estimation Applied to Mixed-Effects Modeling |

markov | The marginal likelihood for parameters in a discrete Gauss-Markov process |

match | Separating multipaths by global optimization of a multidimensional matched filter |

mcmc_smooth | Optimal smoothing of non-linear dynamic systems via Monte Carlo Markov chains |

mdot_bike_wish | Wish List for Bike Routes in Maricopa County, AZ |

N | |

network | A matched filter network for estimating pulse arrival times |

neuron | Contributions of the input signal and prior activation history to the discharge behaviour of rat motoneurones |

newton_step | Newton Step Methods for AD of an Objective Defined Using Implicit Functions |

nltrack | Nonlinear Kalman filtering of long-baseline, short-baseline, GPS, and depth measurements |

nsmooth | Nonsmooth optimization by successive quadratic programming |

P | |

packages | Brad's Opens Source Packages |

picture | Glacier Peak |

prolate | Calculating Thomson's spectral multitapers by inverse iteration |

pub_abstract | Abstracts for Published Papers |

publications | Bradley M. Bell's Publications |

R | |

randompar | Approximating the marginal likelihood estimate for models with random parameters |

relative | A relative weighting method for estimating parameters and variances in multiple data sets |

resume | Resume |

rkhs_bayes | The connection between Bayesian estimation of a Gaussian random field and RKHS |

rock_climb | Rock Climbing Links |

S | |

sammii | SAAM II: Simulation, Analysis, and Modeling Software for tracer and pharmacokinetic studies |

semi | Global convergence of a semi-infinite optimization method |

semiblind | Bayes and Empirical Bayes Semi-Blind Deconvolution using Eigenfunctions of a Prior Covariance |

smoother | The iterated Kalman smoother as a Gauss-Newton method |

SmoothVariance | Deconvolution of non-stationary physical signals: a smooth variance model for insulin secretion rate |

software | Software Engineering Procedures |

ssh_key | Using ssh With Out Passwords |

sskm | Learning using state space kernel machines |

StochasticNonlinear | Estimating parameters and stochastic functions of one variable using nonlinear measurement models |

T | |

tmb | TMB: Automatic Differentiation and Laplace Approximation} |

U | |

update | The iterated Kalman filter update as a Gauss-Newton method |

W | |

white_paper | Unpublished Paper's |