Youngdeok Hwang

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All published works

Action	Title	Year	Authors
+	Optimal Sensor Allocation with Multiple Linear Dispersion Processes	2024	Xinchao Liu Dzung T. Phan Youngdeok Hwang Levente J. Klein Xiao Liu Kyongmin Yeo
+	A Bayesian Solution to Inverse Problem for Circadian Cycles	2021	Youngdeok Hwang Hang J. Kim Won Chang Christian I. Hong Steve MacEachern
+	A Clustered Gaussian Process Model for Computer Experiments	2021	Chih‐Li Sung Benjamin Haaland Youngdeok Hwang Siyuan Lu
+	Bayesian Model Calibration and Sensitivity Analysis for Oscillating Biological Experiments	2021	Youngdeok Hwang Hang J. Kim Won Chang Christian I. Hong Steve MacEachern
+	Clustered Gaussian process model with an application to solar irradiance emulation	2019	Chih‐Li Sung Benjamin Haaland Youngdeok Hwang Siyuan Lu
+ PDF Chat	Synthesizing simulation and field data of solar irradiance	2019	Furong Sun Robert B. Gramacy Benjamin Haaland Siyuan Lu Youngdeok Hwang
+	A clustered Gaussian process model for computer experiments	2019	Chih‐Li Sung Benjamin Haaland Youngdeok Hwang Siyuan Lu
+ PDF Chat	Development of <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" overflow="scroll" id="d1e823" altimg="si15.gif"><mml:mi>h</mml:mi><mml:mi>p</mml:mi></mml:math>-inverse model by using generalized polynomial chaos	2018	Kyongmin Yeo Youngdeok Hwang Xiao Liu Jayant Kalagnanam
+	Development of a spectral source inverse model by using generalized polynomial chaos.	2018	Kyongmin Yeo Youngdeok Hwang Liu Xiao Jayant Kalagnanam
+	Synthesizing simulation and field data of solar irradiance	2018	Furong Sun Robert B. Gramacy Benjamin Haaland Siyuan Lu Youngdeok Hwang

Common Coauthors

Coauthor	Papers Together
Benjamin Haaland	5
Kyongmin Yeo	3
Chih‐Li Sung	3
Siyuan Lu	3
Siyuan Lu	2
Furong Sun	2
Robert B. Gramacy	2
Hang J. Kim	2
Xiao Liu	2
Won Chang	2
Jayant Kalagnanam	2
Steve MacEachern	2
Christian I. Hong	2
Dzung T. Phan	1
Levente J. Klein	1
Liu Xiao	1
Xinchao Liu	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Calibrating a large computer experiment simulating radiative shock hydrodynamics	2015	Robert B. Gramacy Derek Bingham James Paul Holloway Michael Grosskopf Carolyn Kuranz Erica M. Rutter Matt Trantham R. P. Drake	4
+	Bayesian Treed Gaussian Process Models With an Application to Computer Modeling	2008	Robert B. Gramacy Herbert K. H. Lee	3
+ PDF Chat	Local Gaussian Process Approximation for Large Computer Experiments	2014	Robert B. Gramacy Daniel W. Apley	3
+	None	1997	Rainer Storn Kenneth V. Price	2
+ PDF Chat	Modularization in Bayesian analysis, with emphasis on analysis of computer models	2009	M. J. Bayarri James O. Berger F. Liu	2
+ PDF Chat	Simulated Tempering: A New Monte Carlo Scheme	1992	Enzo Marinari Giorgio Parisi	2
+	Importance Link Function Estimation for Markov Chain Monte Carlo Methods	2000	Steven N. MacEachern Mario Peruggia	2
+	Markov Chain Monte Carlo Maximum Likelihood	1991	Charles J. Geyer	2
+ PDF Chat	Calibrating an Ice Sheet Model Using High-Dimensional Binary Spatial Data	2015	Won Chang Murali Haran P. J. Applegate David Pollard	2
+ PDF Chat	The Generalized Multiset Sampler	2014	Hang J. Kim Steven N. MacEachern	2
+	Replica Monte Carlo Simulation of Spin-Glasses	1986	Robert H. Swendsen Jian‐Sheng Wang	2
+	Calibration of multi-physics computational models using Bayesian networks	2012	You Ling Joshua Mullins Sankaran Mahadevan	2
+	Bayesian Inference for Non-Stationary Spatial Covariance Structure via Spatial Deformations	2003	Alexandra M. Schmidt Anthony O’Hagan	2
+ PDF Chat	Massively Parallel Approximate Gaussian Process Regression	2014	Robert B. Gramacy Jarad Niemi Robin M. Weiss	2
+	Stochastic Algorithms for Inverse Problems Involving PDEs and many Measurements	2014	Farbod Roosta-Khorasani Kees van den Doel Uri M. Ascher	2
+ PDF Chat	Adaptive Construction of Surrogates for the Bayesian Solution of Inverse Problems	2014	Jinglai Li Youssef Marzouk	2
+	The Multiple-Try Method and Local Optimization in Metropolis Sampling	2000	Jun S. Liu Faming Liang Wing Hung Wong	2
+	Sparse recovery by thresholded non-negative least squares	2011	Martin Slawski Matthias Hein	2
+	Regression Shrinkage and Selection Via the Lasso	1996	Robert Tibshirani	2
+	On the Uniqueness of Nonnegative Sparse Solutions to Underdetermined Systems of Equations	2008	Alfred M. Bruckstein⋆ Michael Elad Michael Zibulevsky	2
+ PDF Chat	Sparsity and Smoothness Via the Fused Lasso	2004	Robert Tibshirani Michael A. Saunders Saharon Rosset Ji Zhu Keith Knight	2
+ PDF Chat	A Unique “Nonnegative” Solution to an Underdetermined System: From Vectors to Matrices	2010	Meng Wang Weiyu Xu Ao Tang	2
+	The Combination of Estimates from Different Experiments	1954	William G. Cochran	2
+	Emulating satellite drag from large simulation experiments	2017	Furong Sun Robert B. Gramacy Benjamin Haaland Earl Lawrence A. C. Walker	2
+ PDF Chat	Computer Model Calibration with Large Non-Stationary Spatial Outputs: Application to the Calibration of a Climate Model	2018	Kai‐Lan Chang Serge Guillas	2
+	Phenomenological forecasting of disease incidence using heteroskedastic Gaussian processes: A dengue case study	2018	Leah R. Johnson Robert B. Gramacy Jeremy M. Cohen Erin A. Mordecai Courtney C. Murdock Jason R. Rohr Sadie J. Ryan Anna M. Stewart‐Ibarra Daniel P. Weikel	2
+ PDF Chat	Calibration for Computer Experiments With Binary Responses and Application to Cell Adhesion Study	2019	Chih‐Li Sung Ying Hung William Rittase Cheng Zhu Changbao Wu	2
+ PDF Chat	A fast particle-based approach for calibrating a 3-D model of the Antarctic ice sheet	2020	Ben Seiyon Lee Murali Haran Robert W. Fuller David Pollard Klaus Keller	2
+ PDF Chat	BART: Bayesian additive regression trees	2010	Hugh Chipman Edward I. George Robert E. McCulloch	2
+ PDF Chat	Computer model validation with functional output	2007	M. J. Bayarri D.A. Walsh James O. Berger John A. Cafeo Gonzalo García‐Donato F. Liu Jesús Palomo Revathy Parthasarathy Rui Paulo J. Sacks	2
+ PDF Chat	The solution path of the generalized lasso	2011	Ryan J. Tibshirani Jonathan Taylor	2
+ PDF Chat	Non-Stationary Spatial Modeling	1999	David Higdon Jenise Swall John Kern	1
+	High-Order Collocation Methods for Differential Equations with Random Inputs	2005	Dongbin Xiu Jan S. Hesthaven	1
+	Space and Space-Time Modeling using Process Convolutions	2002	Dave Higdon	1
+	MRFA: Fitting and Predicting Large-Scale Nonlinear Regression Problems using Multi-Resolution Functional ANOVA (MRFA) Approach	2017		1
+ PDF Chat	Fast Prediction of Deterministic Functions Using Sparse Grid Experimental Designs	2014	Matthew Plumlee	1
+ PDF Chat	Bayesian CART Model Search	1998	Hugh Chipman Edward I. George Robert E. McCulloch	1
+	Model-Based Clustering, Discriminant Analysis, and Density Estimation	2002	Chris Fraley Adrian E. Raftery	1
+ PDF Chat	Practical Heteroscedastic Gaussian Process Modeling for Large Simulation Experiments	2018	Mickaël Binois Robert B. Gramacy Michael Ludkovski	1
+	Composite Gaussian process models for emulating expensive functions	2012	Shan Ba V. Roshan Joseph	1
+ PDF Chat	Adaptive Design and Analysis of Supercomputer Experiments	2009	Robert B. Gramacy Herbert K. H. Lee	1
+ PDF Chat	An Efficient Surrogate Model for Emulation and Physics Extraction of Large Eddy Simulations	2018	Simon Mak Chih‐Li Sung Xingjian Wang Shiang-Ting Yeh Yu‐Hung Chang V. Roshan Joseph Vigor Yang C. F. Jeff Wu	1
+ PDF Chat	The Stochastic EM Algorithm: Estimation and Asymptotic Results	2000	Søren Feodor Nielsen Søren Feodor Nielsen	1
+	Accurate emulators for large-scale computer experiments	2011	Ben Haaland Peter Z. G. Qian	1
+	Methods for Analyzing Large Spatial Data: A Review and Comparison	2017	Matthew J. Heaton Abhirup Datta Andrew O. Finley Reinhard Furrer Rajarshi Guhaniyogi Florian Gerber Robert B. Gramacy Dorit Hammerling Matthias Katzfuß Finn Lindgren	1
+	Fast dimension-reduced climate model calibration and the effect of data aggregation	2014	Won Chang Murali Haran Roman Olson Klaus Keller	1
+ PDF Chat	Covariance Tapering for Interpolation of Large Spatial Datasets	2006	Reinhard Furrer Marc G. Genton Douglas Nychka	1
+	Patchwork Kriging for Large-scale Gaussian Process Regression	2017	Chiwoo Park Daniel W. Apley	1
+ PDF Chat	Multiresolution Functional ANOVA for Large-Scale, Many-Input Computer Experiments	2019	Chih‐Li Sung Wenjia Wang Matthew Plumlee Benjamin Haaland	1
+	Analyzing Nonstationary Spatial Data Using Piecewise Gaussian Processes	2005	Hyoung‐Moon Kim Bani K. Mallick Chris Holmes	1