Journal Articles

Hang Li and Enrique Del Castillo, 2023, "Optimal Experimental Design on Riemannian Manifolds", Journal of the American Statistical Association

C R Archer, H. Bunning, J. Rapkin, P.J. Moore, C.M. House, Enrique Del Castillo and J. Hunt, 2023, "Ovarian Apoptosis is regulated by Carbohydrate intake but not by Protein intake in Speckled Cockroach", J. of Insect Physiology

Xueqi Zhao and Enrique Del Castillo, 2021, "An Intrinsic Geometrical approach for Statistical Process Control of Surface and Manifold Data", Technometrics, 63, (3), pp. 295-312

Enrique Del Castillo and Marco Reis, 2020, "Bayesian Predictive Optimization of Multiple and Profile Response Systems in the Process Industry: a Review and Extensions", Chemometrics and Intelligent Laboratory Systems

Enrique Del Castillo, 2020, "Confidence regions for the location of Response Surface Optima: the R package OptimaRegion", Communications in Statistics, Simulation and Computation

Likun Zhang, Enrique Del Castillo, Andrew Berlung, Tingley Martin and Govind Nirmal, 2020, "Computing confidence intervals from massive data via penalized quantile smoothing splines", Computational Statistics and Data Analysis, 144

Enrique Del Castillo, Adam Meyers and PEng Chen, 2020, "Exponential Random Graph Modeling of a Faculty Hiring Network: the IEOR Case", IISE Transactions, 52, (1), pp. 43-60

Clarissa Hunt, P Tunstall, M Janicott, M Gage, Enrique Del Castillo and John Hunt, 2020, "Multivariate stabilizing selection on male and female genital morphology in the red flour beetle Tribolium castaneum", Evolution, 74, (5), pp. 883-896

Hang Li, Enrique Del Castillo and G Runger, 2020, "Rejoinder on: "On Active Learning Methods for Manifold Data"", Test, 29, (1), pp. 42-29

Enrique Del Castillo and Xueqi Zhao, 2020, "Statistical Process Monitoring for Manifold Data", John Wiley & Sons StatsRef Statistics on-line encyclopedia

Enrique Del Castillo and Xueqi Zhao, 2020, "Industrial Statistics and Manifold Data (with discussion)", Quality Engineering, 32, (2), pp. 155-167

Enrique Del Castillo and Xueqi Zhao, 2020, "Industrial Statistics and Manifold Data: a Rejoinder", Quality Engineering, 32, (2), pp. 176-180

Hang Li, Enrique Del Castillo and G Runger, 2020, "On Active Learning Methods for Manifold Data (with discussion)", Test, 29, (1), pp. 1-33

Sam Tajbakhsh, Serhat Aybat and Enrique Del Castillo, 2020, "On the theoretical guarantees for parameter estimation of Gaussian Random Field Models: a Sparse Precision Matrix Approach", Journal of Machine Learning Research, 21, (217)

Enrique Del Castillo, 2020, "Process Control via Random Forest Classification of Profile Signals: an Application to a Tapping Process", J. of Manufacturing Processes, 58, pp. 736-748

Li Hang, Enrique Del Castillo and George Runger, 2020, "Rejoinder on: On Active Learning Methods for Manifold data", Test, 29, pp. 42-29

X. Zhao, R. Pan, Enrique Del Castillo and M. Xie, 2019, "Two-stage accelerated life test planning robust to model uncertainty", Journal of Quality Technology, 51, (2), pp. 181-197

S D Tajbakhsh, Necdet S Aybat and Enrique Del Castillo, 2018, "Generalized Sparse Precision Matrix Selection for Fitting Multivariate Gaussian Random Fields to Large Data Sets", Statistica Sinica, 28, pp. 941-962

W. Song, K Han, Y Wang, T. Freisz and Enrique Del Castillo, 2018, "Statistical Metamodeling of dynamic network loading", Transportation Research B, 117, pp. 740-756

J. Rapkin, R. Archer, C.M. House, S.K. Saluk, Enrique Del Castillo and J. Hunt, 2018, "The geometry of nutritionally based life-history trade-offs: sex differences in the effect of macronutrient intake on the trade-off between immune function and reproductive effort in decorated crickets", The American Naturalist, 191, pp. 452-474

S. E. Kee, Enrique Del Castillo and George Runger, 2018, "Query-by-committee improvement with diversity and density in batch active learning", Information Sciences, 454-455, pp. 401-455

Enrique Del Castillo, Alessia Beretta and Quirico Semeraro, 2017, "Optimal Setup of a Multihead Weighing Machine", European J. of Operational Research, 259, (1), pp. pp. 384-393.

A. Baretta, Q. Semeraro and Enrique Del Castillo, 2016, "On the Multihead Weigher Machine Setup Problem", Journal of Packaging Technology and Science, 29, pp. 175-188

Enrique Del Castillo, B. Colosimo and S. Tajbakhsh, 2015, "Geodesic Gaussian Processes for the Reconstruction of a 3D Free-Form Surface", Technometrics, 57, (1), pp. 87-99

Sam Tajbakhsh, Enrique Del Castillo and James L Rosenberger, 2015, "A Bayesian Approach to Sequential Optimization Based on Computer Experiments", Qual. & Rel. Eng. Int., pp. 1001-1012

W. Woodall and Enrique Del Castillo, 2014, "An overview of George Box's contributions to process monitoring and feedback adjustment", Applied Stochastic Models in Business and Industry, 30, (1), pp. 53-61

Z. Lian, O. A. Arda and Enrique Del Castillo, 2014, "Optimal Setup adjustment for Asymmetric Cost Functions", Quality Technology and Quantitative Management, 11, (4), pp. 471-489

H. Alshraideh and Enrique Del Castillo, 2014, "Gaussian Process Modeling and Optimization of Profile Response Experiments", Quality and Reliability Engineering International, 30, (4), pp. 449462

S. Tajbakhsh, Enrique Del Castillo and J. L. Rosenberger, 2014, "A Fully Bayesian Approach to the Efficient Global Optimization Algorithm", Qual. & Rel. Eng. Int., 30, (4), pp. 21

A. G. Del Val, J. Fernandez, Enrique Del Castillo, M. Arizmendi and F. Veiga, 2013, "Monitoring and classification of thread quality when tapping nodular cast iron with TiN coated HSS cutting taps", International Journal of Advanced Manufacturing Technology, 69, (5-8), pp. 1273-1282

Enrique Del Castillo and H. Alshraideh, 2013, "Statistical performance of tests for mean shape difference with application in manufacturing", IIE Transactions, 45, (2), pp. 121-131

M. Tanco, Enrique Del Castillo and E. Viles, 2013, "Robustness of 3-level Response Surface Designs Against Missing Data", IIE Transactions, 45, pp. 544-553

Enrique Del Castillo, 2013, "Research Highlights: when the response is the shape of a part", IE Magazine, 45, (1), pp. 1

B. Smucker, Enrique Del Castillo and J. Rosenberger, 2012, "Model-Robust Two-Level Designs Using Coordinate Exchange Algorithms and a Maximin Criterion", Technometrics, 54, (4), pp. 367-375

Enrique Del Castillo, B. M. Colosimo and H. Alshraideh, 2012, "Bayesian Modeling and Robust Optimization of Functional Responses affected by Noise Factors", Journal of Quality Technology, 44, (2), pp. 117-135

B. Smucker, Enrique Del Castillo and J. Rosenberger, 2012, "Maximin Model-Robust Designs for Split Plot Experiments", Computational Statistics & Data Analysis, 56, (12), pp. 4111-4121

Enrique Del Castillo and B. M. Colosimo, 2011, "Statistical Shape Analysis of Experiments for Manufacturing Processes", Technometrics, 53, (1), pp. 1-15

A. K. Miranda and Enrique Del Castillo, 2011, "Robust parameter design optimization of simulation experiments using stochastic perturbation methods", Journal of the Operational Research Society, 62, pp. 198-205

B. Smucker, Enrique Del Castillo and J. Rosenberger, 2011, "Exchange Algorithms for Constructing Model-Robust Experimental Designs", Journal of Quality Technology, 43, (1), pp. 28-42

G. Runger, Z. Lian and Enrique Del Castillo, 2010, "A multivariate deadband controller", IIE Transactions, 42, (10), pp. 746-752

Enrique Del Castillo and E. Santiago, 2010, "A Matrix-T Approach to the Sequential Design of Optimization Experiments", IIE Transactions, 43, (1), pp. 54-68

B. Bentovli, Enrique Del Castillo and J. C. Kleijnen, 2009, "Statistical testing of optimality conditions in multiresponse simulation-based optimization", European Journal of Operational Research, 199, pp. 448-458

K. Tong, Enrique Del Castillo, T. M. Cavalier, E. A. Lehtihet and S. Joshi, 2009, "D-Optimal design of artifacts used in machine software error compensation", International Journal of Production Research, 47, (7), pp. 1895-1912

J. J. Peterson, G. Miro and Enrique Del Castillo, 2009, "A Bayesian reliability approach to multiple response optimization with seemingly unrelated regression models", Quality Technology and Quantitative Management, 6, (4), pp. 353-369

O. A. Vanli and Enrique Del Castillo, 2009, "Bayesian Approaches for On-line Robust Parameter Design", IIE Transactions, 41, pp. 359-371

G. Runger, R. Barton, Enrique Del Castillo and W. Woodall, 2007, "Optimal monitoring of multivariate data for fault patterns", Journal of Quality Technology, 39, (2), pp. 159-172

C. D. Ray, N. Gattani, Enrique Del Castillo and P. B. Blankenhorn, 2007, "Identification of the relationship between equilibrium moisture content, dry bulb temperature, and relative humidity using regression analysis", Wood and Fiber Science Journal, 39, (2), pp. 299-306

Enrique Del Castillo and Z. Lian, 2007, "Adaptive deadband control of aprocess with random drift and fixed adjustment cost", Statistics & Probability Letters, 77, (8), pp. 843-852

O. A. Vanli and Enrique Del Castillo, 2007, "Closed-loop system identification for small samples with constraints", Technometrics, 49, (4), pp. 382-394

R. Rajagopal and Enrique Del Castillo, 2007, "A Bayesian Approach for Multiple Criteria Decision Making with Application to Design fo Six Sigma", Journal of the Operational Research Society, 58, (6), pp. 779-791

T. Cavalier, W. A. Conner, Enrique Del Castillo and S. I. Brown, 2007, "A Heuristic Algorithm for Minimax Sensor Location in the Plane", European journal of operational research, 183, (1), pp. 42-55

Enrique Del Castillo, M. J. Alvarez, L. Izarbe and E. Viles, 2007, "A New Design Criterion for Robust Parameter Experiments", Journal of Quality Technology, 39, (3), pp. 279-295

O. A. Vanli, N. Patel, M. Janakiram and Enrique Del Castillo, 2007, "Model context selection for run to run control", IEEE Transactions on Semiconductor Manufacturing, 20, (4), pp. 506-516

Z. Lian and Enrique Del Castillo, 2006, "Setup Adjustment of Multiple Lots Using a Sequential Monte Carlo Method", Technometrics, 48, (3), pp. 373-385

R. Rajagopal and Enrique Del Castillo, 2006, "A Bayesian Method for Robust Tolerance Control and Parameter Design", IIE Transactions, 38, (8), pp. 685-697

Z. Lian and Enrique Del Castillo, 2006, "Setup Adjustment Under Unknown Process Parameters and Fixed Adjustment Cost", Journal of Statistical Planning and Inference, 136, pp. 1039-1060

Zilong Lian, B. M. Colosimo and Enrique Del Castillo, 2006, "Setup Error Adjustment: sensitivity analysis and a new MCMC control rule", Quality & Reliability Engineering International, 22, pp. 403-418

Enrique Del Castillo, 2006, "Statistical Process Adjustment: a brief retrospective, current status, and future research", Statistica Neerlandica, 60, (3), pp. 309-326

P. S. Iyer, J. M. Haight, Enrique Del Castillo, B. Tink and P. Hawkins, 2005, "A research model: forecasting incident rates from optimized safety program intervention strategies", Journal of Safety Research

R. Rajagopal, Enrique Del Castillo and J. J. Peterson, 2005, "Model and Distribution-Robust Optimization with Noise Factors", Journal of Quality Technology

R. Rajagopal and Enrique Del Castillo, 2005, "Model-Robust Process Optimization Using Bayesian Model Averaging"

B. M. Colosimo, R. Pan and Enrique Del Castillo, 2005, "On-line Process Adjustment for Asymmetric Cost Functions", International Journal of Productions Research

N. Gattani, Enrique Del Castillo and C. Ray, 2005, "Time Series Analysis of a Dry Kiln", Wood and Fiber Science Journal

C. Ray, N. Gattani, P. Blackenhorn and Enrique Del Castillo, 2005, "Time Series Techniques for Dynamic, Real Time Control of Wood Drying Processes", Forest Products Journal

G. Miro and Enrique Del Castillo, 2004, "A Dual Response Approach to the Multivariate Robust Parameter Design Problem", Technometrics, 46, (2), pp. 176-187

S. Cahya, Enrique Del Castillo and J. J. Peterson, 2004, "Computation of Confidence Regions for Optimal Factor Levels in Constrained Response Surface Problems", Journal of Computational and Graphical Statistics, 13, (2), pp. 1-20

B. M. Colosimo, R. Pan and Enrique Del Castillo, 2004, "A Sequential Markov Chain Monte Carlo Approach to Setup Process Adjustment Over a Set of Lots", Journal of Applied Statistics, 31, (5), pp. 499-520

R. G. McGarvey, T. Cavalier, Enrique Del Castillo and A. Lehtihet, 2004, "A Unified Framework for Probabilistic Sequential Tolerance Control", International Journal of Production Research, 42, (7), pp. 1443-1453

J. Height, P. S. Iyer, Enrique Del Castillo, B. Tink and P. Hawkins, 2004, "Intervention Effectiveness Research: Understanding and Optimizing Industrial Safety Programs Using Leading Indicators", American Chemical Society, Chemical, Health & Safety Journal, 11, (2), pp. 9-19

G. Miro and Enrique Del Castillo, 2004, "Two Approaches for Enhancing the Dual Response Approach to Robust Parameter Design", Journal of Quality Technology, 36, (2), pp. 154-168

G. Miro, Enrique Del Castillo and J. J. Peterson, 2004, "A Bayesian Approach for Multiple Response Surface Optimization in the Presence of Noise Variables", Journal of Applied Statistics, 31, (3), pp. 251-270

J. J. Peterson, S. Cahya and Enrique Del Castillo, 2004, "Confidence regions around the ridge of optimal response on fitted second order polynomial--a comment", Technometrics, 46, (3), pp. 355-357

G. Miro and Enrique Del Castillo, 2004, "An Enhanced Recursive Stopping Rule for Steepest Ascent Searches in Response Surface Methodology", Communications in Statistics, Simulation & Computation, 33, (1), pp. 201-228

Enrique Del Castillo, , "Registration-free localization of defects in 3-D parts from mesh metrology using functional maps", INFORMS Journal of Data Science

Enrique Del Castillo and Xueqi Zhao, , "An Intrinsic Geometrical approach for Statistical Process Control of Surface and Manifold Data", Technometrics

Other

Enrique Del Castillo, J Hunt, J. Rapkin and S. Zarmehri, 2016, "Data-depth bootstrapped confidence regions for the optima of a fitted function"

O. A. Vanli and Enrique Del Castillo, 2015, "Statistical Process Control in Manufacturing", pp. 1319-1324

G. Miro and Enrique Del Castillo, 2006, "A Search method for the exploration of new regions in robust parameter design"

Enrique Del Castillo and B. Colosimo, 2006, "An introduction to bayesian inference in process monitoring, ontrol, and optimization"

B. Colosimo and Enrique Del Castillo, 2006, "Modern numerical methods in bayesian computation"

• June 2022 - May 2025, "Deep Intrinsic Learning for On-line Process Control of Manufacturing Manifold Data," (Sponsor: National Science Foundation).

• Youden Award, American Statistical Association, 2022

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