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Yoo JK (2016a). Tutorial: Dimension reduction in regression with a notion of sufficiency, Communications for Statistical Applications and Methods, 23, 93-103.
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Cook RD and Zhang X (2014). Fused estimators of the central subspace in sufficient dimension reduction, Journal of the American Statistical Association, 109, 815--827.
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Lee K, Choi Y, Um H, and Yoo JK (2019). On fused dimension reduction in multivariate regression, Chemometrics and Intelligent Laboratory Systems, 193, 103828.
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Li KC (1991). Sliced inverse regression for dimension reduction, Journal of the American Statistical Association, 86, 316-327.
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Yoo C, Yoo Y, Um HY, and Yoo JK (2020). On hierarchical clustering in sufficient dimension reduction, Communications for Statistical Applications and Methods, 27, 431-443.
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Yin X and Bura E (2006). Moment-based dimension reduction for multivariate response regression, Journal of Statistical Planning and Inference, 136, 3675-3688.
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Yoo JK (2008). A Novel moment-based dimension reduction approach in multivariate regression, Computational Statistics and Data Analysis, 52, 3843-3851.
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Yoo JK (2009). Iterative optimal sufficient dimension reduction for the conditional mean in multivariate regression, Journal of Data Science, 7, 267-276.
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Yoo JK (2016b). Tutorial: Methodologies for sufficient dimension reduction in regression, Communications for Statistical Applications and Methods, 23, 95-117.
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Yoo JK and Cook RD (2007). Optimal sufficient dimension reduction for the conditional mean in multivariate regression, Biometrika, 94, 231-242.
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Yoo JK (2018). Basis-adaptive selection algorithm in dr-package, The R Journal, 10, 124-132.
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Yoo JK, Lee K, and Woo S (2010). On the extension of sliced average variance estimation to multivariate regression, Statistical Methods and Applications, 19, 529-540.
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Setodji CM and Cook RD (2004). K-means inverse regression, Technometrics 46, 421-429.
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