Multivariate Density Estimation: Theory, Practice, and Visualization - David W. Scott (Wiley, 1992)

Discussion on the paper by Friedman and Fisher. - David W. Scott (Stat. Comput., 1999)

Parametric Statistical Modeling by Minimum Integrated Square Error. - David W. Scott (Technometrics, 2001)

From Kernels to Mixtures. - David W. Scott; William Szewczyk (Technometrics, 2001)

A Theory and Implementation of Smooth Conditional Maps. - James Blair Christian; David W. Scott (DG.O, 2002)

Finding Outliers in Models of Spatial Data. - David W. Scott; James Blair Christian (DG.O, 2003)

Collaborative Research: Quality graphics for federal statistical summaries: results. - Alan M. MacEachren; Daniel B. Carr; David W. Scott (DG.O, 2004)

Project highlight: quality graphics for statistical summaries. - Alan M. MacEachren; Daniel B. Carr; David W. Scott (DG.O, 2005)

Local-moment nonparametric density estimation of pre-binned data. - Galen I. Papkov; David W. Scott (Comput. Stat. Data Anal., 2010)

Sturges' and Scott's Rules. - David W. Scott (International Encyclopedia of Statistical Science, 2011)

Robust fitting of a Weibull model with optional censoring. - Jingjing Yang; David W. Scott (Comput. Stat. Data Anal., 2013)

The Hybrid Bootstrap: A Drop-in Replacement for Dropout. - Robert Kosar; David W. Scott (CoRR, 2018)

Nonparametric Density Estimation for High-Dimensional Data - Algorithms and Applications. - Zhipeng Wang 005; David W. Scott (CoRR, 2019)

Robust Multiple Regression. - David W. Scott; Zhipeng Wang 005 (Entropy, 2021)

Denoising Non-Stationary Signals via Dynamic Multivariate Complex Wavelet Thresholding. - Kim C. Raath; Katherine B. Ensor; Alena Crivello; David W. Scott (Entropy, 2023)