R. Dennis Cook

80 catalog papers. Identity-linked publications and additional name matches are distinguished below.

ORCID: 0000-0002-3488-4743

University of Minnesota System

Publications

• Enveloped Huber Regression — Journal of the American Statistical Association 2024
• Sparse Minimum Discrepancy Approach to Sufficient Dimension Reduction with Simultaneous Variable Selection in Ultrahigh Dimension — Journal of the American Statistical Association 2019
• Partial least squares prediction in high-dimensional regression — The Annals of Statistics 2019
• A convex formulation for high-dimensional sparse sliced inverse regression — Biometrika 2018
• Matrix variate regressions and envelope models — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2018
• Weighted envelope estimation to handle variability in model selection — Biometrika 2017
• Diagnostic studies in sufficient dimension reduction — Biometrika 2015
• Envelopes and reduced-rank regression — Biometrika 2015
• Foundations for Envelope Models and Methods — Journal of the American Statistical Association 2015
• Fused Estimators of the Central Subspace in Sufficient Dimension Reduction — Journal of the American Statistical Association 2014
• Scaled envelopes: scale-invariant and efficient estimation in multivariate linear regression — Biometrika 2013
• Envelopes and partial least squares regression — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2013
• Estimating sufficient reductions of the predictors in abundant high-dimensional regressions — The Annals of Statistics 2012 (name-matched, not ORCID-linked)
• Inner envelopes: efficient estimation in multivariate linear regression — Biometrika 2012 (name-matched, not ORCID-linked)
• Partial envelopes for efficient estimation in multivariate linear regression — Biometrika 2011 (name-matched, not ORCID-linked)
• Some insights into continuum regression and its asymptotic properties — Biometrika 2010 (name-matched, not ORCID-linked)
• Coordinate-independent sparse sufficient dimension reduction and variable selection — The Annals of Statistics 2010
• Likelihood-Based Sufficient Dimension Reduction — Journal of the American Statistical Association 2009
• Covariance reducing models: An alternative to spectral modelling of covariance matrices — Biometrika 2008
• Marginal tests with sliced average variance estimation — Biometrika 2007
• Elevated soil lead: Statistical modeling and apportionment of contributions from lead-based paint and leaded gasoline — The Annals of Applied Statistics 2007 (name-matched, not ORCID-linked)
• Dimension reduction in regression without matrix inversion — Biometrika 2007
• Partial inverse regression — Biometrika 2007
• Optimal sufficient dimension reduction for the conditional mean in multivariate regression — Biometrika 2007 (name-matched, not ORCID-linked)
• Sufficient dimension reduction in regressions across heterogeneous subpopulations — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2006
• Using intraslice covariances for improved estimation of the central subspace in regression — Biometrika 2006
• Direction estimation in single-index regressions — Biometrika 2005
• Model-free variable selection — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2005
• A note on shrinkage sliced inverse regression — Biometrika 2005
• Sufficient Dimension Reduction via Inverse Regression — Journal of the American Statistical Association 2005
• Determining the dimension of iterative Hessian transformation — The Annals of Statistics 2004 (name-matched, not ORCID-linked)
• Testing predictor contributions in sufficient dimension reduction — The Annals of Statistics 2004 (name-matched, not ORCID-linked)
• Dimension reduction for the conditional mean in regressions with categorical predictors — The Annals of Statistics 2003
• Estimating central subspaces via inverse third moments — Biometrika 2003 (name-matched, not ORCID-linked)
• A Model-Free Test for Reduced Rank in Multivariate Regression — Journal of the American Statistical Association 2003
• Dimension reduction for the conditionalkth moment in regression — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2002
• Sufficient dimensions reduction in regressions with categorical predictors — The Annals of Statistics 2002
• Dimension reduction for conditional mean in regression — The Annals of Statistics 2002
• Extending Sliced Inverse Regression — Journal of the American Statistical Association 2001
• Estimating the structural dimension of regressions via parametric inverse regression — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2001
• Identifying Regression Outliers and Mixtures Graphically — Journal of the American Statistical Association 2000
• Dimension Reduction in Binary Response Regression — Journal of the American Statistical Association 1999
• Principal Hessian Directions Revisited — Journal of the American Statistical Association 1998
• Rejoinder — Journal of the American Statistical Association 1998
• Partial Residual Plots in Generalized Linear Models — Journal of the American Statistical Association 1998
• Testing the adequacy of regression functions — Biometrika 1997 (name-matched, not ORCID-linked)
• Designing for a Response Transformation Parameter — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 1997
• Graphics for Assessing the Adequacy of Regression Models — Journal of the American Statistical Association 1997
• Graphics for Regressions with a Binary Response — Journal of the American Statistical Association 1996
• D-Optimum Designs for Heteroscedastic Linear Models — Journal of the American Statistical Association 1995
• Transforming a response variable for linearity — Biometrika 1994
• On the Equivalence of Constrained and Compound Optimal Designs — Journal of the American Statistical Association 1994
• Reweighting to Achieve Elliptically Contoured Covariates in Regression — Journal of the American Statistical Association 1994
• On the Interpretation of Regression Plots — Journal of the American Statistical Association 1994
• Leverage, local influence and curvature in nonlinear regression — Biometrika 1993
• Heteroscedastic G-Optimal Designs — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 1993
• A graphical case statistic for assessing posterior influenceo — Biometrika 1992
• Comparison of Model Misspecification Diagnostics Using Residuals from Least Mean of Squares and Least Median of Squares Fits — Journal of the American Statistical Association 1992
• Leverage and Superleverage in Nonlinear Regression — Journal of the American Statistical Association 1992
• Comment — Journal of the American Statistical Association 1991
• Comment — Journal of the American Statistical Association 1990
• Confidence Curves in Nonlinear Regression — Journal of the American Statistical Association 1990
• Diagnostics for Assessing the Accuracy of Normal Approximations in Exponential Family Nonlinear Models — Journal of the American Statistical Association 1990
• Assessing influence on regression coefficients in generalized linear models — Biometrika 1989
• Parameter plots in nonlinear regression — Biometrika 1987
• Curvatures for Parameter Subsets in Nonlinear Regression — The Annals of Statistics 1986 (name-matched, not ORCID-linked)
• Bias in nonlinear regression — Biometrika 1986
• Assessment of Local Influence — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 1986
• A Note on Parameter-Effects Curvature — Journal of the American Statistical Association 1985
• Residuals in nonlinear regression — Biometrika 1985
• Cross-Validation of Regression Models — Journal of the American Statistical Association 1984
• Diagnostics for heteroscedasticity in regression — Biometrika 1983
• Comment — Journal of the American Statistical Association 1983
• A Note on an Alternative Outlier Model — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 1982
• A Family of Distributions for Modelling Non-Elliptically Symmetric Multivariate Data — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 1981
• Marginally RestrictedD-Optimal Designs — Journal of the American Statistical Association 1980
• Comment — Journal of the American Statistical Association 1979
• Influential Observations in Linear Regression — Journal of the American Statistical Association 1979
• A Model for Quadrat Sampling with “Visibility Bias” — Journal of the American Statistical Association 1974
• Power of the lack-of-fit test in designed experiments: Guidance on sample size and the distribution of replicates — Journal of the American Statistical Association (name-matched, not ORCID-linked)