Justin Winokur

发表

Simple Effective Conservative Treatment of Uncertainty From Sparse Samples of Random Variables and Functions

Vicente J. Romero, George Edgar Orient, Bonnie R. Antoun, 2018 .

Sparse Pseudo Spectral Projection Methods with Directional Adaptation for Uncertainty Quantification

Omar M. Knio, Daesang Kim, Justin Winokur, 2016, J. Sci. Comput..

Adaptive Sparse Grid Approaches to Polynomial Chaos Expansions for Uncertainty Quantification

Justin Winokur, J. Winokur, 2015 .

A priori testing of sparse adaptive polynomial chaos expansions using an ocean general circulation model database

Justin Winokur, Youssef Marzouk, Mohamed Iskandarani, 2013, Computational Geosciences.

Summary of the 2014 Sandia Verification and Validation Challenge Workshop

Joshua Mullins, Benjamin B. Schroeder, Justin Winokur, 2016 .

An overview of uncertainty quantification techniques with application to oceanic and oil‐spill simulations

Omar M. Knio, Justin Winokur, Shitao Wang, 2016 .

Can-Crush Model and Simulations for Verifying Uncertainty Quantification Method for Sparse Stress-Strain Curve Data

Vicente J. Romero, George Edgar Orient, Bonnie R. Antoun, 2016 .

Quantifying initial and wind forcing uncertainties in the Gulf of Mexico

Omar M. Knio, Olivier Le Maitre, Justin Winokur, 2016, Computational Geosciences.

Bayesian Inference of Drag Parameters Using AXBT Data from Typhoon Fanapi

Omar M. Knio, Shuyi Chen, Alen Alexanderian, 2013 .

Development of a reduced model of formation reactions in Zr-Al nanolaminates

Omar M. Knio, Justin Winokur, Timothy P. Weihs, 2014 .

Global sensitivity analysis in an ocean general circulation model: a sparse spectral projection approach

Omar M. Knio, Alen Alexanderian, Justin Winokur, 2012, Computational Geosciences.