J. Aughenbaugh

发表

Agile Manufacturing in 2020 : Managing Complexity and Uncertainty in Product Realization

J. Aughenbaugh, 2004 .

The Value of Using Imprecise Probabilities in Engineering Design

C. Paredis, J. Aughenbaugh, 2006 .

Covariance matrix estimation for underwater ambient noise

R. Pirkl, J. Aughenbaugh, 2017, OCEANS 2017 – Anchorage.

1 2006-01-0272 Eliminating Design Alternatives Based on Imprecise Information

C. Paredis, J. Aughenbaugh, M. Bruns, 2006 .

1 SAE 06 B-233 Eliminating Design Alternatives Based on Imprecise Information

C. Paredis, J. Aughenbaugh, M. Bruns, 2005 .

The Value of Using Imprecise Probabilities in Engineering Design

Christiaan J. J. Paredis, Jason Matthew Aughenbaugh, C. Paredis, 2006 .

A comparison of statistical approaches for assessing reliability

J. Herrmann, J. Aughenbaugh, 2008 .

THE VALUE OF REPRESENTING EPISTEMIC UNCERTAINTY IN ENGINEERING DESIGN

C. Paredis, G. Woodruff, J. Aughenbaugh, 2005 .

The Use of Imprecise Probabilities to Estimate the Value of Information in Design

Christiaan J. J. Paredis, Jason Matthew Aughenbaugh, Jay M. Ling, 2005 .

Multi-attribute utility analysis in set-based conceptual design

Christiaan J. J. Paredis, Jason Matthew Aughenbaugh, Richard J. Malak, 2009, Comput. Aided Des..

MANAGING UNCERTAINTY IN ENGINEERING DESIGN USING IMPRECISE PROBABILITIES AND PRINCIPLES OF INFORMATION ECONOMICS

Jason Matthew Aughenbaugh, J. Aughenbaugh, 2006 .

Why Are Intervals and Imprecision Important In Engineering Design

Christiaan J. J. Paredis, Jason Matthew Aughenbaugh, C. Paredis, 2006 .

Probability Bounds Analysis as a General Approach to Sensitivity Analysis in Decision Making under Uncertainty

Christiaan J. J. Paredis, Jason M. Aughenbaugh, C. Paredis, 2007 .

A Comparison of Probability Bounds Analysis and Sensitivity Analysis in Environmentally Benign Design and Manufacture

Christiaan J. J. Paredis, Jason Matthew Aughenbaugh, Scott J. Duncan, 2006, DAC 2006.

Computationally efficient Bayesian tracking

Jason Aughenbaugh, Brian La Cour, J. Aughenbaugh, 2012, Defense + Commercial Sensing.

Particle-inspired motion updates for grid-based Bayesian trackers

Jason Matthew Aughenbaugh, Brian La Cour, J. Aughenbaugh, 2011, 14th International Conference on Information Fusion.

A polynomial-adaptive scheme for Bayesian tracking

Jason Matthew Aughenbaugh, Brian La Cour, Jason Kurtz, 2011, 14th International Conference on Information Fusion.

Sensor Management for Particle Filter Tracking

Brian R. LaCour, J M Aughenbaugh, B R LaCour, 2011, IEEE Transactions on Aerospace and Electronic Systems.

Active clutter reduction through fusion with passive data

Jason Matthew Aughenbaugh, Brian La Cour, Brian A. Yocom, 2010, 2010 13th International Conference on Information Fusion.

Range-sensitive Bayesian passive sonar tracking

Jason Matthew Aughenbaugh, Brian La Cour, Brian A. Yocom, 2010, 2010 13th International Conference on Information Fusion.

Use of prior information in active sonar tracking

Jason Matthew Aughenbaugh, Brian La Cour, J. Aughenbaugh, 2009, 2009 12th International Conference on Information Fusion.

Measurement prioritization for optimal Bayesian fusion

Jason Matthew Aughenbaugh, Brian R. LaCour, J. Aughenbaugh, 2007, 2007 10th International Conference on Information Fusion.

Managing the collection of information under uncertainty using information economics

Christiaan J. J. Paredis, Jason Matthew Aughenbaugh, Jay M. Ling, 2006 .

Eliminating Design Alternatives Based on Imprecise Information

Christiaan J. J. Paredis, Jason Matthew Aughenbaugh, Steven J. Rekuc, 2006 .

Measurement-Guided Likelihood Sampling for Grid-Based Bayesian Tracking

Jason Matthew Aughenbaugh, Brian La Cour, J. Aughenbaugh, 2010, J. Adv. Inf. Fusion.

A Comparison of Information Management using Imprecise Probabilities and Precise Bayesian Updating of Reliability Estimates

Jeffrey W. Herrmann, Jason M. Aughenbaugh, J. Herrmann, 2008 .

Updating uncertainty assessments: A comparison of statistical approaches

Jeffrey W. Herrmann, Jason M. Aughenbaugh, J. Herrmann, 2007, DAC 2007.

APPLYING INFORMATION ECONOMICS AND IMPRECISE PROBABILITIES TO DATA COLLECTION IN DESIGN

Jason Matthew Aughenbaugh, Jay Ling, Christian J. J. Paredis, 2005 .

Covariance Matrix Estimation for Broadband Underwater Noise

Ryan J. Pirkl, Jason M. Aughenbaugh, R. Pirkl, 2017, IEEE Journal of Oceanic Engineering.