abstract

Abstracts for Published Papers

Name

Title

newton_step

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

tmb

TMB: Automatic Differentiation and Laplace Approximation}

rkhs_bayes

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

dismod_pde

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

sskm

Learning using state space kernel machines

l1_rks

An L1-Laplace Robust Kalman Smoother

implicit_ad

Algorithmic Differentiation of Implicit Functions and Optimal Values

ckbs

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

bayes_inverse

Approximating the Bayesian inverse for nonlinear dynamical systems

mcmc_smooth

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

semiblind

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

neuron

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

ConsumeO2

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

StochasticNonlinear

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

SmoothVariance

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

randompar

Approximating the marginal likelihood estimate for models with random parameters

markov

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

sammii

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

relative

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

gps

A method for GPS positioning

smoother

The iterated Kalman smoother as a Gauss-Newton method

prolate

Calculating Thomson’s spectral multitapers by inverse iteration

update

The iterated Kalman filter update as a Gauss-Newton method

nltrack

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

network

A matched filter network for estimating pulse arrival times

burg

A two step Burg algorithm

semi

Global convergence of a semi-infinite optimization method

gamma

Generalized gamma parameter estimation and moment evaluation

match

Separating multipaths by global optimization of a multidimensional matched filter

nsmooth

Nonsmooth optimization by successive quadratic programming

error

Software techniques for error correcting codes

line_search

An Improved Line Search Technique