Richard V. Field

Jacek Skryzalin, Richard V. Field, Travis L. Bauer, 2017, 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM).

Multiscale Digital Image Correlation for Validation of Multiscale Stochastic Models.

Joseph E. Bishop, Richard V. Field, Jay Carroll, 2015 .

Uncertainty Quantification In Large Computational Engineering Models

Michael S. Eldred, Steven F. Wojtkiewicz, Richard V. Field, 2001 .

A practical method for reliability of dynamic systems under limited information.

Mircea Grigoriu, Richard V. Field, 2007 .

Reliability of Dynamic Systems Under Limited Information

Richard V. Field, Mircea Grigoriu, M. Grigoriu, 2009 .

Nondeterministic Analysis of Mechanical Systems

Vicente J. Romero, Thomas L. Paez, Richard V. Field, 2000 .

Methods for model selection in applied science and engineering.

Richard V. Field, 2004 .

Closure to “Model Selection in Applied Science and Engineering: A Decision-Theoretic Approach” by R. V. Field Jr. and M. Grigoriu

Mircea Grigoriu, Richard V. Field, 2009 .

Identification and Validation of Environmental Load Models Based on Structural Response.

Jerry W. Rouse, Thomas L. Paez, Richard V. Field, 2011 .

Probabilistic Stability Robustness of Structural Systems

Richard V. Field, Petros G. Voulgaris, Lawrence A. Bergman, 1996 .

On data collection, graph construction, and sampling in Twitter

Jeremy D. Wendt, Sucheta Soundarajan, Richard V. Field, 2016, 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM).

Exploring the effects of micro-texture on engineering-scale performance.

Joseph E. Bishop, Richard V. Field, Jay Carroll, 2016 .

Utilizing computational probabilistic methods to derive shock specifications in a nondeterministic environment

Thomas L. Paez, Richard V. Field, John Red-Horse, 2000 .

Reliability Analysis of Penetration Systems Using Nondeterministic Methods

Thomas L. Paez, Richard V. Field, John Red-Horse, 1999 .

Estimating users' mode transition functions and activity levels from social media

Jeremy D. Wendt, Richard V. Field, Hamilton Link, 2017, ASONAM.

Parameterized Reduced Order Models Constructed Using Hyper Dual Numbers

Jeffrey A. Fike, Richard V. Field, Matthew R. W. Brake, 2014 .

Efficient Stochastic Finite Element Modeling Using Parameterized Reduced Order Models

Jeffrey A. Fike, Richard V. Field, Matthew R. W. Brake, 2014 .

Assessing Truck Ride Quality for Design

Richard V. Field, 1998 .

Data Inferencing on Semantic Graphs (DISeG) Final Report.

Jeremy D. Wendt, Sucheta Soundarajan, Tu-Thach Quach, 2016 .

Numerical Techniques to Evaluate Moments of Dynamic System Response

Thomas L. Paez, Richard V. Field, J. R. Red-Horse, 1999 .

An algorithm for on-the-fly generation of samples of non-stationary Gaussian processes based on a sampling theorem

Clark R. Dohrmann, Mircea Grigoriu, Richard V. Field, 2013, Monte Carlo Methods Appl..

Development and calibration of a stochastic dynamics model for the design of a MEMS inertial switch

David S. Epp, Richard V. Field, 2006 .

Reliability-Based Approach to Linear Covariance Control Design

Lawrence A. Bergman, Richard V. Field, L. Bergman, 1998 .

Stochastic models: theory and simulation.

Richard V. Field, R. Field, 2008 .

An Efficient Methodology for Mul4scale Structural Reliability Predic4on.

Joseph E. Bishop, Richard V. Field, Jay Carroll, 2015 .

Probability Distribution of von Mises Stress in the Presence of Pre-load

Daniel J. Segalman, Garth M. Reese, Richard V. Field, 2019 .

A solution to the static frame validation challenge problem using Bayesian model selection

Mircea Grigoriu, Richard V. Field, 2008 .

Quantifying Graph Uncertainty from Communication Data.

Jeremy D. Wendt, Arvind Prasadan, Richard V. Field, 2020 .

Validation of Random Vibration Environments.

David O. Smallwood, Thomas L. Paez, Richard V. Field, 2007 .

Reliability-based covariance control design

Lawrence A. Bergman, Richard V. Field, L. Bergman, 1997, Proceedings of the 1997 American Control Conference (Cat. No.97CH36041).

Probabilistic model selection for systems with design constraints.

Mircea Grigoriu, Steven F. Wojtkiewicz, Richard V. Field, 2003 .

Investigating a reliable covariance control scheme for MDOF systems

Lawrence A. Bergman, Richard V. Field, L. Bergman, 1998, Proceedings of the 1998 American Control Conference. ACC (IEEE Cat. No.98CH36207).

Optimal design of sensor networks for vehicle detection, classification, and monitoring

Mircea Grigoriu, Richard V. Field, 2006 .

Generalized Boundary Detection Using Compression-based Analytics

Tu-Thach Quach, Richard V. Field, Travis L. Bauer, 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Convergence properties of polynomial chaos approximations for L2 random variables.

Mircea Grigoriu, Richard V. Field, M. Grigoriu, 2007 .

A nondeterministic shock and vibration application using polynomial chaos expansions

Thomas L. Paez, Richard V. Field, John Red-Horse, 2000 .

Statistical surrogate models for prediction of high-consequence climate change

Paul G. Constantine, Richard V. Field, Mark B. Boslough, 2013 .

On the accuracy of the polynomial chaos approximation for random variables and stationary stochastic processes.

Mircea Grigoriu, Richard V. Field, M. Grigoriu, 2003 .

Bayesian methods for characterizing unknown parameters of material models

Mircea Grigoriu, Richard V. Field, John M Emery, 2016 .

Direct numerical simulations in solid mechanics for understanding the macroscale effects of microscale material variability

Christopher R. Weinberger, David John Littlewood, Joseph E. Bishop, 2015 .