Enrique Del Castillo

Distinguished Professor of Engineering, Professor of Statistics

    1992 …2020
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    Personal profile

    Researcher Defined Keywords

    • Experimental Design
    • Response Surface Methods
    • Statistics
    • Machine Learning

    Fingerprint Dive into the research topics where Enrique Del Castillo is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

    Controllers Engineering & Materials Science
    Statistical process control Engineering & Materials Science
    Process control Engineering & Materials Science
    Adjustment Mathematics
    Semiconductor materials Engineering & Materials Science
    Feedback Engineering & Materials Science
    Experiments Engineering & Materials Science
    Response Surface Mathematics

    Network Recent external collaboration on country level. Dive into details by clicking on the dots.

    Research Output 1992 2020

    Computing confidence intervals from massive data via penalized quantile smoothing splines

    Zhang, L., Castillo, E. D., Berglund, A. J., Tingley, M. P. & Govind, N., Apr 2020, In : Computational Statistics and Data Analysis. 144, 106885.

    Research output: Contribution to journalArticle

    Smoothing Splines
    Quantile
    Large Data Sets
    Splines
    Confidence interval

    Exponential random graph modeling of a faculty hiring network: The IEOR case

    Del Castillo, E., Meyers, A. & Chen, P., Jan 2 2020, In : IISE Transactions. 52, 1, p. 43-60 18 p.

    Research output: Contribution to journalArticle

    Operations research
    Social aspects
    Complex networks
    Computer science
    Innovation

    An adaptive two-stage Bayesian model averaging approach to planning and analyzing accelerated life tests under model uncertainty

    Zhao, X., Pan, R., del Castillo, E. & Xie, M., Jan 1 2019, In : Journal of Quality Technology. 51, 2, p. 181-197 17 p.

    Research output: Contribution to journalArticle

    Planning
    Testing
    Uncertainty
    Model uncertainty
    Bayesian model averaging

    Industrial statistics and manifold data

    del Castillo, E. & Zhao, X., Jan 1 2019, (Accepted/In press) In : Quality Engineering.

    Research output: Contribution to journalArticle

    Statistics
    Process monitoring
    Monitoring
    Processing
    Industry

    Generalized sparse precision matrix selection for fitting multivariate Gaussian random fields to large data sets

    Tajbakhsh, S. D., Aybat, N. S. & Del Castillo, E., Apr 2018, In : Statistica Sinica. 28, 2, p. 941-962 22 p.

    Research output: Contribution to journalEditorial

    Gaussian Random Field
    Large Data Sets
    del operator
    Spatial Correlation
    Covariance matrix