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| Data Mining and Analysis | |
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Fitting Trees to Curve Data, With an Application
to Time of Day Patterns Yan Yu and Diane Lambert |
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Feature Dimension Reduction Using Reduced-Rank
Maximum Likelihood Estimation for Hidden Markov Models Don X. Sun |
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Robust estimation of spectral
center-of-gravity trajectories using mixture spline
models Don X. Sun |
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Good-Turing Smoothing Without Tears William A. Gale |
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Learning Prototype Models for Tangent Distance
Trevor Hastie, Patrice Simard and Eduard Sackinger |
| Statistical Models, Methods, Theory, and The Big Picture | |
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Events Defined by Duration and Severity, With an
Application to Network Reliability R. Becker, L. Clark and D. Lambert |
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Nonparametric Maximum Likelihood Estimation
From Samples with Irrelevant Data and Verification Bias. Diane Lambert and Luke Tierney |
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Measures of Disclosure Risk and Harm Diane Lambert |
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Boundary Crossing Probabilities for Locally Poisson
Processes C. Loader |
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A New Algorithm for Matched Case Control Studies with
Applications to Additive Models. Trevor Hastie and Daryl Pregibon |
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Change Point Estimation Using Nonparametric
Regression Catherine Loader |
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Greater or Lesser Statistics: A Choice for Future
Research. John M. Chambers |
| Bayesian Statistics | |
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Models and Model Building Methods for Case Data William S. Cleveland, Lorraine Denby, and Chuanhai Liu |
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Modeling Customer Survey Data Linda A. Clark, William S. Cleveland, Lorraine Denby, and Chuanhai Liu |
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Focused sampling and its application to nonparametric and robust regression
Frederick Wong, Mark H. Hansen, Robert Kohn and Michael Smith |
| Designed Experiments | |
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Robust Parameter Design with Uncontrolled Noise
Variables Anne E. Freeny and Vijayan N. Nair |
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Graphical Analysis for a Large Designed Experiment.
Anne E. Freeny and James M. Landwehr |
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Optimal Blocking Schemes for Fractional Factorial Designs Don X. Sun, C.F.J. Wu and Y.Y. Chen |
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The Dependence of the Electro-Optical Properties of Polymer Dispersed
Liquid Crystals on the Photopolymerization Process
[color]
[black&white] J. D. LeGrange, S. A. Carter, M. Fuentes, J. Boo, A. E. Freeny, W. Cleveland, and T. M. Miller |
| Local Regression | |
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Censored Local Likelihood Catherine Loader |
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Locfit: An Introduction Catherine Loader |
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Smoothing by Local Regression:
Principles and Methods
[Rejoinder to Discussion] William S. Cleveland and C. Loader |
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Local Regression: Automatic Kernel Carpentry Trevor Hastie, C. Loader |
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Local Likelihood Density Estimation C. Loader |
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Computing Nonparametric Function Estimates C. Loader |
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Smoothing By Local Fitting:
Various Issues Stimulated by a Paper of Fan and Marron William S. Cleveland and C. Loader |
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Coplots, Nonparametric Regression,
and Conditionally Parametric Fits William S. Cleveland |
| Maximum Likelihood Estimation Using the EM Algorithm | |
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Parameter Expansion to Accelerate EM: The PX-EM Algorithm
Chuanhai Liu, Donald B. Rubin, and Yingnian Wu |
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Maximum Likelihood Estimation of Sum-Difference Time Series Models
Using the EM algorithm
William S. Cleveland and Chuanhai Liu |
| Extended Linear Models | |
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Polynomial splines and their tensor
products in extended linear modeling
[Rejoinder to discussion] C. Stone, M. H. Hansen, C. Kooperberg, Y. Truong, J. Huang |
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Triogram Models
[HTML/Java
version] M. H. Hansen, C. Kooperberg and S. Sardy |
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Spline adaptation in extended linear models M. H. Hansen and C. Kooperberg |
| Inference and Model Selection | |
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Model Selection and the Principle of Minimum Description Length
[PDF]
[Compressed PostScript] Mark Hansen and Bin Yu (some setups have difficulty printing the math in the PDF version; make sure that you do not select the option Download font once from the PostScript Options in the Print Menu.) |
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Old Faithful Erupts: Bandwidth Selection
Reviewed Catherine Loader |
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Simultaneous Confidence Bands in
Linear Regression and Smoothing Jiayang Sun, C. Loader |
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Simultaneous confidence bands for the rate
of a nonhomogeneous Poisson process Catherine Loader |
| Multidimensional Fitting and Discriminant Analysis | |
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Discriminant Analysis by Gaussian Mixtures Trevor Hastie and Robert Tibshirani |
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Flexible Discriminant Analysis by Optimal
Scoring Trevor Hastie, Robert Tibshirani and Andreas Buja |
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Penalized Discriminant Analysis Trevor Hastie, Andreas Buja and Robert Tibshirani |
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Varying-coefficient models Trevor Hastie and Robert Tibshirani |