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Abstracts for Published Papers
** An Inequality Constrained Nonlinear Kalman-Bucy Smoother by Interior Point Likelihood Maximization
** Optimal smoothing of non-linear dynamic systems via Monte Carlo Markov chains
** Bayes and Empirical Bayes Semi-Blind Deconvolution using Eigenfunctions of a Prior Covariance
** Estimating In Vitro Mitochondrial Oxygen Consumption During Muscle Contraction and Recovery: A Novel Approach that Accounts for Diffusion
** Estimating parameters and stochastic functions of one variable using nonlinear measurement models
** Deconvolution of non-stationary physical signals: a smooth variance model for insulin secretion rate
** Approximating the marginal likelihood estimate for models with random parameters
** The marginal likelihood for parameters in a discrete Gauss-Markov process
** SAAM II: Simulation, Analysis, and Modeling Software for tracer and pharmacokinetic studies
** A relative weighting method for estimating parameters and variances in multiple data sets
** A method for GPS positioning
** The iterated Kalman smoother as a Gauss-Newton method
** Calculating Thomson's spectral multitapers by inverse iteration
** The iterated Kalman filter update as a Gauss-Newton method
** Nonlinear Kalman filtering of long-baseline, short-baseline, GPS, and depth measurements
** A matched filter network for estimating pulse arrival times
** A two step Burg algorithm
** Global convergence of a semi-infinite optimization method
** Generalized gamma parameter estimation and moment evaluation
** Separating multipaths by global optimization of a multidimensional matched filter
** Nonsmooth optimization by successive quadratic programming
** Software techniques for error correcting codes

Input File: pub_abstract.omh