Multivariate locally adaptive density estimation

[1]  C. Quesenberry,et al.  A nonparametric estimate of a multivariate density function , 1965 .

[2]  L. Breiman,et al.  Variable Kernel Estimates of Multivariate Densities , 1977 .

[3]  D. W. Scott,et al.  Plasma lipids as collateral risk factors in coronary artery disease--a study of 371 males with chest pain. , 1978, Journal of chronic diseases.

[4]  M. Rosenblatt,et al.  Multivariate k-nearest neighbor density estimates , 1979 .

[5]  J. Friedman,et al.  Projection Pursuit Regression , 1981 .

[6]  M. Rudemo.  Empirical Choice of Histograms and Kernel Density Estimators , 1982 .

[7]  Ian Abramson.  On Bandwidth Variation in Kernel Estimates-A Square Root Law , 1982 .

[8]  I. Abramson.  Arbitrariness of the pilot estimator in adaptive kernel methods , 1982 .

[9]  A. D. Gordon,et al.  Interpreting multivariate data , 1982 .

[10]  Peter Hall,et al.  The Influence of Rounding Errors on Some Nonparametric Estimators of a Density and its Derivatives , 1982 .

[11]  B. Silverman,et al.  Kernel Density Estimation Using the Fast Fourier Transform , 1982 .

[12]  Peter Hall,et al.  On near neighbour estimates of a multivariate density , 1983 .

[13]  Kei Takeuchi,et al.  Interpreting Multivariate Data@@@The Foundations of Multivariate Analysis , 1983 .

[14]  A. Bowman.  An alternative method of cross-validation for the smoothing of density estimates , 1984 .

[15]  D. W. Scott,et al.  Kernel density estimation with binned data , 1985 .

[16]  B. Silverman.  Density estimation for statistics and data analysis , 1986 .

[17]  J. S. Marron,et al.  Variable window width kernel estimates of probability densities , 1988 .

[18]  Bruce J. Worton,et al.  Optimal smoothing parameters for multivariate fized and adaptive kernel methods , 1989 .

[19]  M. C. Jones.  Variable kernel density estimates and variable kernel density estimates , 1990 .

[20]  David W. Scott,et al.  Smoothing by weighted averaging of rounded points , 1990 .

[21]  M. C. Jones,et al.  A reliable data-based bandwidth selection method for kernel density estimation , 1991 .

[22]  David W. Scott,et al.  Feasibility of multivariate density estimates , 1991 .

[23]  Peter Hall,et al.  On Global Properties of Variable Bandwidth Density Estimators , 1992 .

[24]  D. W. Scott,et al.  Multivariate Density Estimation, Theory, Practice and Visualization , 1992 .

[25]  D. W. Scott,et al.  Variable Kernel Density Estimation , 1992 .

[26]  M. Wand,et al.  EXACT MEAN INTEGRATED SQUARED ERROR , 1992 .

[27]  Ian Mckay.  A note on bias reduction in variable‐kernel density estimates , 1993 .

[28]  M. C. Jones,et al.  Comparison of Smoothing Parameterizations in Bivariate Kernel Density Estimation , 1993 .

[29]  D. W. Scott,et al.  The Mode Tree: A Tool for Visualization of Nonparametric Density Features , 1993 .

[30]  S. Sain.  Adaptive kernel density estimation , 1994 .

[31]  D. W. Scott,et al.  Cross-Validation of Multivariate Densities , 1994 .

[32]  M. Wand.  Fast Computation of Multivariate Kernel Estimators , 1994 .

[33]  M. Wand,et al.  Multivariate plug-in bandwidth selection , 1994 .

[34]  J. Marron,et al.  Improved Variable Window Kernel Estimates of Probability Densities , 1995 .

[35]  D. W. Scott,et al.  On Locally Adaptive Density Estimation , 1996 .

[36]  Matt P. Wand,et al.  On the Accuracy of Binned Kernel Density Estimators , 1994 .

[37]  Martin L. Hazelton,et al.  Bias annihilating bandwidths for kernel density estimation at a point , 1998 .

[38]  Luc Devroye,et al.  Variable Kernel Estimates: On the Impossibility of Tuning the Parameters , 1998 .

[39]  J. Marron,et al.  SiZer for Exploration of Structures in Curves , 1999 .

[40]  Stephan R. Sain,et al.  Outlier detection from a mixture distribution when training data are unlabeled , 1999, Bulletin of the Seismological Society of America.

[41]  Geoffrey J. McLachlan,et al.  Finite Mixture Models , 2019, Annual Review of Statistics and Its Application.

[42]  Stephan R. Sain,et al.  Zero‐Bias Locally Adaptive Density Estimators , 2002 .

[43]  J. Wellner,et al.  High Dimensional Probability III , 2003 .