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Alphabetic Listing of Cross Reference Tags
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
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