D. W. Scott

发表

Effects of high speed jets and internal baffles on the gas residence times in large municipal incinerators

Jim Swithenbank, V. Nasserzadeh, C. Schofield, 1994 .

Portable color multimedia training systems based on monochrome laptop computers (CBT-in-a-briefcase), with spinoff implications for video uplink and downlink in spaceflight operations

D. W. Scott, 1994 .

Background ventilation studies for TRU-waste retrieval

D. W. Scott, M. R. Winberg, 1989 .

A system to control contamination during retrieval of buried TRU (transuranic) waste

G. G. Loomis, D. W. Scott, D. E. Menkhaus, 1990 .

Design optimization of a large municipal solid waste incinerator

Jim Swithenbank, V. Nasserzadeh, D. W. Scott, 1991 .

A Note on Using Discretized Simulated Data to Estimate Implicit Likelihoods in Bayesian Analyses

B. J. Williams, A. V. Huzurbazar, D. W. Scott, 2020, 2008.02926.

Biased and Unbiased Cross-Validation in Density Estimation

D. W. Scott, G. Terrell, 1987 .

On optimal and data based histograms

D. W. Scott, 1979 .

PROBABILITY DENSITY ESTIMATION IN HIGHER DIMENSIONS

D. W. Scott, James R. Thompson, 2014 .

Variable Kernel Density Estimation

D. W. Scott, G. Terrell, 1992 .

Nonparametric Estimation of Probability Densities and Regression Curves

D. W. Scott, E. Nadaraya, S. Kotz, 1988 .

Nonparametric Probability Density Estimation by Discrete Maximum Penalized- Likelihood Criteria

D. W. Scott, R. Tapia, James R. Thompson, 1980 .

Multivariate Density Estimation: Theory, Practice, and Visualization

David W. Scott, D. W. Scott, 1992, Wiley Series in Probability and Statistics.

Probability Density Estimation

D. W. Scott, 2001 .

Kernel density estimation with binned data

D. W. Scott, S. Sheather, 1985 .

Averaged Shifted Histograms: Effective Nonparametric Density Estimators in Several Dimensions

D. W. Scott, 1985 .

Oversmoothed Nonparametric Density Estimates

D. W. Scott, G. Terrell, 1985 .

Discussion on the paper by Friedman and Fisher

David W. Scott, D. W. Scott, 1999, Stat. Comput..

Multidimensional Density Estimation

D. W. Scott, S. Sain, 2005 .

Kernel Density Estimators

D. W. Scott, 2008 .

The Mode Tree: A Tool for Visualization of Nonparametric Density Features

D. W. Scott, Michael C. Minnotte, M. C. Minnotte, 1993 .

Cross-Validation of Multivariate Densities

D. W. Scott, K. Baggerly, S. Sain, 1994 .

On Locally Adaptive Density Estimation

D. W. Scott, S. Sain, 1996 .

Kernel density estimation revisited

D. W. Scott, R. Tapia, James R. Thompson, 1977 .

On Improving Convergence Rates for Nonnegative Kernel Density Estimators

David W. Scott, D. W. Scott, G. Terrell, 1980 .

Robust Parametric Classification and Variable Selection by a Minimum Distance Criterion

Eric C. Chi, D. W. Scott, 2011, 1109.6090.

The L 1 Method for Robust Nonparametric Regression

D. W. Scott, Ferdinand T. Wang, 1994 .

Outlier Detection and Clustering by Partial Mixture Modeling

D. W. Scott, 2004 .

Cross-Validation of Multivariate

David W. Scott, Keith A. Baggerly, D. W. Scott, 1992 .

Feasibility of multivariate density estimates

David W. Scott, D. W. Scott, 1991 .

Multivariate applications of the ash in regression

David W. Scott, Gerald Whittaker, D. W. Scott, 1996 .

A Note on Choices of Bivariate Histogram Bin Shape

D. W. Scott, 1985 .

Monte Carlo Study of Three Data-Based Nonparametric Probability Density Estimators

David W. Scott, D. W. Scott, L. E. Factor, 1981 .

Partial Mixture Estimation and Outlier Detection in Data and Regression

David W. Scott, D. W. Scott, 2004 .

A Trio of Inference Problems That Could

D. W. Scott, G. Molenberghs, C. Genest, 2014 .

Conditioning Multiple Maps

D. W. Scott, W. C. Wojciechowski, 2001 .

On Locally Adaptive Density

D. W. Scott, E. R. Sain, 1996 .

Table 5. Classiication Accuracy of the Minimum Risk Metric with the Naive Estima- Tor, Dvdm and Heom. Signiicative Diierences (p < 0:05) Are Shown. Mrm H = N Dvdm Heom Data Set Naive (mn) Annealing

D. W. Scott, P. Murphy, D. Aha, 1999 .

Probability Density Estimation

D. W. Scott, 2001 .

Multivariate Density Estimation: Theory, Practice, and Visualization

D. W. Scott, 1992, Wiley Series in Probability and Statistics.

The Mode Tree : A Tool forVisualization of Nonparametric Density

D. W. Scott, FeaturesMichael C. Minnotte, 1993 .

Calibrating histograms with application to economic data

D. W. Scott, H. Schmitz, 1988 .

Averaged shifted histogram

D. W. Scott, 2010, Wiley StatsRef: Statistics Reference Online.

The Curse of Dimensionality and Dimension Reduction

David W. Scott, D. W. Scott, 2008 .

Finding Outliers in Models of Spatial Data

David W. Scott, D. W. Scott, J. Blair Christian, 2003, DG.O.

A Theory and Implementation of Smooth Conditional Maps

David W. Scott, D. W. Scott, J. Blair Christian, 2002, DG.O.

Robust fitting of a Weibull model with optional censoring

Jingjing Yang, D. W. Scott, David W Scott, 2013, Comput. Stat. Data Anal..

Nonparametric density estimation for high‐dimensional data—Algorithms and applications pdf

Zhipeng Wang, David W. Scott, D. W. Scott, 2019, WIREs Computational Statistics.

Multi-dimensional Density Estimation

Stephan R. Sain, David W. Scott, D. W. Scott, 2004 .

Multivariate Density Estimation and Visualization

David W. Scott, D. W. Scott, 2012 .

Multivariate Visualization by Density Estimation

Stephan R. Sain, David W. Scott, D. W. Scott, 2008 .

Zero‐Bias Locally Adaptive Density Estimators

Stephan R. Sain, David W. Scott, D. W. Scott, 2002 .

Zero-Bias Locally Adaptive Density

D. W. Scott, EstimatorsStephan R. Sain, 1995 .

On estimation and visualization of higher dimensional surfaces

David W. Scott, D. W. Scott, 1992 .

Multidimensional Smoothing and Visualization

David W. Scott, D. W. Scott, 2012 .

Spatial Estimation and Presentation of Regression Surfaces in SeveralVariables Via the Averaged Shifted HistogramGerald

David W. Scott, D. W. Scott, Rice, 1994 .

Using Computer-Binned Data for Density Estimation

David W. Scott, D. W. Scott, 1981 .

Diet and coronary heart disease: the statistical analysis of risk.

D. W. Scott, A. Gotto, G. Gorry, 1981, Circulation.

Density Estimation

D. W. Scott, 1997 .

Sturges' rule

David W. Scott, D. W. Scott, 2009 .

NONPARAMETRIC PROBABILITY DENSITY ESTIMATION BY OPTIMIZATION THEORETIC TECHNIQUES

D. W. Scott, David Warren Scott, 1976 .

Frequency Polygons: Theory and Application

David W. Scott, D. W. Scott, 1985 .

Scott's rule

David W. Scott, D. W. Scott, 2010 .

Projection Pursuit via Decomposition of Bias Termsof Kernel Density

D. W. Scott, EstimatorsMark E. Marson, 2007 .

INCORPORATING DENSITY ESTIMATION INTO OTHER EXPLORATORY TOOLS1

David W. Scott, D. W. Scott, 1995 .

Nonparametric probability density estimation for data analysis in several dimensions

D. W. Scott, 1983 .

Robust forecast aggregation: Fourier L2E regression

Jaime Ramos, David W. Scott, Philip E. Tetlock, 2018 .

Robust Multiple Regression

David W. Scott, D. W. Scott, Zhipeng Wang, 2021, Entropy.

Examining the Carnegie Classification Methodology for Research Universities

D. W. Scott, R. Kosar, 2018 .

Multivariate Density Estimation, Theory, Practice and Visualization

D. W. Scott, R. H. Glendinning, R. Glendinning, 1992 .

Sturges' and Scott's Rules

D. W. Scott, 2011, International Encyclopedia of Statistical Science.

Kernel Density Estimation

David W. Scott, D. W. Scott, 2018 .

Simulation of Leveraged ETF Volatility Using Nonparametric Density Estimation

D. W. Scott, Katherine E. Ensor, M. Ginley, 2015 .

Multivariate Density Estimation: Theory, Practice, and Visualization

David W. Scott, D. W. Scott, W. J. Krzanowski, 1992, Wiley Series in Probability and Statistics.

Normal Reference Rule

D. W. Scott, R. Kosar, 2015 .

The L2E method

David W. Scott, D. W. Scott, 2009 .

From Kernels to Mixtures

David W. Scott, D. W. Scott, William Szewczyk, 2001, Technometrics.

High-Dimensional Visualization Using Continuous Conditioning

David W. Scott, D. W. Scott, William C. Wojciechowski, 2001 .

Box–Muller transformation

David W. Scott, D. W. Scott, 2011 .