Chapter 6 – NONPARAMETRIC DENSITY ESTIMATION

[1]  Keinosuke Fukunaga,et al.  Classification Error for a Very Large Number of Classes , 1984, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[2]  P. Hall.  Large Sample Optimality of Least Squares Cross-Validation in Density Estimation , 1983 .

[3]  S. Geman,et al.  Consistent Cross-Validated Density Estimation , 1983 .

[4]  John Van Ness,et al.  On the dominance of non-parametric Bayes rule discriminant algorithms in high dimensions , 1980, Pattern Recognit..

[5]  Anil K. Jain,et al.  An Intrinsic Dimensionality Estimator from Near-Neighbor Information , 1979, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[6]  B. Silverman,et al.  Choosing the window width when estimating a density , 1978 .

[7]  L. Devroye,et al.  The Strong Uniform Consistency of Nearest Neighbor Density Estimates. , 1977 .

[8]  J. Yackel,et al.  Consistency Properties of Nearest Neighbor Density Function Estimators , 1977 .

[9]  T. Wagner,et al.  Nonparametric estimates of probability densities , 1975, IEEE Trans. Inf. Theory.

[10]  Larry D. Hostetler,et al.  Optimization of k nearest neighbor density estimates , 1973, IEEE Trans. Inf. Theory.

[11]  Keinosuke Fukunaga,et al.  An Algorithm for Finding Intrinsic Dimensionality of Data , 1971, IEEE Transactions on Computers.

[12]  Takayasu Ito,et al.  A Note on a General Expansion of Functions of Binary Variables , 1968, Inf. Control..

[13]  T. Cacoullos.  Estimation of a multivariate density , 1966 .

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

[15]  E. Parzen.  On Estimation of a Probability Density Function and Mode , 1962 .

[16]  M. Rosenblatt.  Remarks on Some Nonparametric Estimates of a Density Function , 1956 .