Density Estimation (1997)

by David W. Scott
Citations:364 - 1 self

Active Bibliography

1 Multi-dimensional Density Estimation – David W. Scott A, Stephan R. Sain B
12 Density estimation – Simon J. Sheather - 2004
Nonparametric Smoothing Lecture Notesii Nonparametric SmoothingTable of Contents Table of Contents – Adrian Bowman, Ludger Evers
9 Generalized Cross-entropy Methods with Applications to Rare-event Simulation and Optimization – Z. I. Botev, D. P. Kroese, T. Taimre, Z. I. Botev, D. P. Kroese, T. Taimre
3 Prospects of Nonparametric Modeling – Jianqing Fan - 2000
8 Progressive Modeling – Wei Fan, Haixun Wang, Philip S. Yu, Shaw-hwa Lo, Salvatore Stolfo - 2002
©Adenine Press (2005) Density Estimation for Positron Emission Tomography – unknown authors
5 Zero-Bias Locally Adaptive Density Estimators – Stephan R. Sain, David W. Scott - 2000
© Institute of Mathematical Statistics, 2010 KERNEL DENSITY ESTIMATION VIA DIFFUSION – Z. I. Botev, J. F. Grotowski, D. P. Kroese
6 Old Faithful Erupts: Bandwidth Selection Reviewed – Clive R. Loader - 1995
3 A general framework for constrained smoothing – E. Mammen , et al. - 1998
40 On Locally Adaptive Density Estimation – Stephan R. Sain, David W. Scott - 1996
8 Probabilistic Curve-Aligned Clustering and Prediction with Regression Mixture Models – Scott John Gaffney - 2004
Neural Network Systems, Techniques and Applications in Pattern Recognition – Jouko Lampinen, Jorma Laaksonen, Erkki Oja - 1997
EXPLORING DATA WITH NON- AND SEMIPARAMETRIC MODELS – Marlene Müller
2 Knot selection by boosting techniques – Florian Leitenstorfer, Gerhard Tutz - 2007
1 Bootstrapping for Penalized Spline Regression – Göran Kauermann, Gerda Claeskens, J. D. Opsomer - 2007
A Bayesian approach to parameter estimation for kernel density estimation via transformations – Qing Liu, et al. - 2011
2 Comparison of kernel density estimators with assumptions on number of modes – Raphaël Coudret, Gilles Durrieu, Jérôme Saracco - 2012