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Quantifying uncertainty in soot volume fraction estimates using Bayesian inference of auto-correlated laser-induced incandescence measurements

Applied physics. B, Lasers and optics, 2016, Vol.122 (1), p.1-16, Article 1

2016

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Bayesian Inference of Vocal Fold Material Properties from Glottal Area Waveforms Using a 2D Finite Element Model

Applied sciences, 2019-07, Vol.9 (13), p.2735

2019

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Chemical species tomography of turbulent flows: Discrete ill-posed and rank deficient problems and the use of prior information

Journal of quantitative spectroscopy & radiative transfer, 2016-03, Vol.172, p.58-74

2016

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Bayesian approach to the design of chemical species tomography experiments

Applied Optics, 2016-07, Vol.55 (21), p.5772

2016

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Improving chemical species tomography of turbulent flows using covariance estimation

Applied Optics, 2017-05, Vol.56 (13), p.3900

2017

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The effect of high-speed videoendoscopy configuration on reduced-order model parameter estimates by Bayesian inference

The Journal of the Acoustical Society of America, 2019-08, Vol.146 (2), p.1492-1502

2019

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General error model for analysis of laser-induced incandescence signals

Applied optics (2004), 2017-10, Vol.56 (30), p.8436

2017

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Measurement-based meshing, basis selection, and prior assignment in chemical species tomography

Optics express, 2017-10, Vol.25 (21), p.25135-25148

2017

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An extended Kalman filter approach to non-stationary Bayesian estimation of reduced-order vocal fold model parameters

The Journal of the Acoustical Society of America, 2017-04, Vol.141 (4), p.2909-2920

2017

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Bayesian estimation of vocal function measures using laryngeal high-speed videoendoscopy and glottal airflow estimates: An in vivo case study

The Journal of the Acoustical Society of America, 2020-05, Vol.147 (5), p.EL434-EL439

2020

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Kalman filter approach for uncertainty quantification in time-resolved laser-induced incandescence

Journal of the Optical Society of America. A, Optics, image science, and vision, 2018-03, Vol.35 (3), p.386

2018

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Non-stationary Bayesian estimation of parameters from a body cover model of the vocal folds

The Journal of the Acoustical Society of America, 2016-05, Vol.139 (5), p.2683-2696

2016

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The influence of flow model selection on finite element model parameter estimation using Bayesian inference

JASA express letters, 2021-04, Vol.1 (4), p.045204-045204

2021

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Quantifying uncertainty in auto-compensating laser-induced incandescence parameters due to multiple nuisance parameters

Applied physics. B, Lasers and optics, 2017-04, Vol.123 (4), p.1-15, Article 114

2017

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Bayesian inference of tissue properties from glottal area waveforms using a 2D finite element model

The Journal of the Acoustical Society of America, 2018-09, Vol.144 (3), p.1766-1766

2018

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Predicting the heat of vaporization of iron at high temperatures using time-resolved laser-induced incandescence and Bayesian model selection

Journal of applied physics, 2018-03, Vol.123 (9)

2018

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Soot aggregate sizing through multiangle elastic light scattering: Influence of model error

Journal of aerosol science, 2017-09, Vol.111, p.36-50

2017

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Artificial boundary conditions and domain truncation in electrical impedance tomography. Part II: Stochastic extension of the boundary map

Inverse problems and imaging (Springfield, Mo.), 2015-08, Vol.9 (3), p.767-789

2015

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Artificial boundary conditions and domain truncation in electrical impedance tomography. Part I: Theory and preliminary results

Inverse problems and imaging (Springfield, Mo.), 2015-08, Vol.9 (3), p.749-766

2015

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Handbook of Self-Regulation of Learning and Performance

Second edition., 2018

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Quantifying uncertainty in soot volume fraction estimates using Bayesian inference of auto-correlated laser-induced incandescence measurements

Bayesian Inference of Vocal Fold Material Properties from Glottal Area Waveforms Using a 2D Finite Element Model

Chemical species tomography of turbulent flows: Discrete ill-posed and rank deficient problems and the use of prior information

Bayesian approach to the design of chemical species tomography experiments

Improving chemical species tomography of turbulent flows using covariance estimation

The effect of high-speed videoendoscopy configuration on reduced-order model parameter estimates by Bayesian inference

General error model for analysis of laser-induced incandescence signals

Measurement-based meshing, basis selection, and prior assignment in chemical species tomography

An extended Kalman filter approach to non-stationary Bayesian estimation of reduced-order vocal fold model parameters

Bayesian estimation of vocal function measures using laryngeal high-speed videoendoscopy and glottal airflow estimates: An in vivo case study

Kalman filter approach for uncertainty quantification in time-resolved laser-induced incandescence

Non-stationary Bayesian estimation of parameters from a body cover model of the vocal folds

The influence of flow model selection on finite element model parameter estimation using Bayesian inference

Quantifying uncertainty in auto-compensating laser-induced incandescence parameters due to multiple nuisance parameters

Bayesian inference of tissue properties from glottal area waveforms using a 2D finite element model

Predicting the heat of vaporization of iron at high temperatures using time-resolved laser-induced incandescence and Bayesian model selection

Soot aggregate sizing through multiangle elastic light scattering: Influence of model error

Artificial boundary conditions and domain truncation in electrical impedance tomography. Part II: Stochastic extension of the boundary map

Artificial boundary conditions and domain truncation in electrical impedance tomography. Part I: Theory and preliminary results

Handbook of Self-Regulation of Learning and Performance

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