|
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 |
conferences
| Upcoming Conferences |
ConsumeO2
| Estimating In Vitro Mitochondrial Oxygen Consumption During Muscle Contraction and Recovery:
A Novel Approach that Accounts for Diffusion |
|
E | |
error
| Software techniques for error correcting codes |
|
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 |
|
L | |
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 |
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
| Bradley M. Bell's Resume |
|
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 |
ssh_key
| Using ssh With Out Passwords |
StochasticNonlinear
| Estimating parameters and stochastic functions
of one variable using nonlinear measurement models |
|
U | |
update
| The iterated Kalman filter update as a Gauss-Newton method |
|
W | |
white_paper
| Unpublished Paper's |
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