Citations: Statistical Models - Chambers, Hastie (ResearchIndex)

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Chambers, J. & Hastie, T. (1991), Statistical Models in S, Wadsworth/Brooks Cole, Pacific Grove, California.

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Characterisation and Some Statistical Aspects of Univariate and.. - Tajvidi (1996) (1 citation) (Correct)

....for design and implementation of statistical computations. We argue that this approach can create the AEexibility which is needed in this type of application. Some recent approaches in computer software development are also discussed and some pointers for further study in the subject are provided, [6, 7, 5, 24]. Although we believe that the problems involved in research can not be handled by a single tool, it is still possible to suggest some tools which are likely to be useful in some stages of almost every research project. In the iDiscussionj Sections of Paper C we present and discuss some of these ....

....Computing Science and Statistics: Proceedings of the 24th Symposium on the Interface, 24, 456462. 13 REFERENCES [4] Becker, R.A. Chambers J.M. and Wilks A.R. 1988) The new S Language, A Programming Environment For Data Analysis and Graphics. Wadsworth Brooks Cole Computer Science Series. [5] Berliner, B (1996) Parallelizing Software Development. Conference Proceedings of the USENIX Association s Winter 1990 conference, Washington, DC. 6] Budd, T. 1991) An Introduction to Object Oriented Programming. Addison Welsey Publishing Company, Inc. 7] Chambers, J.M. and Hastie, T.J. 1992) ....

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Chambers, J.M. and Hastie, T.J. (1992) Statistical Models in S. Wadsworth & brooks/cole Computer Science Series.

Joint Use Of Dynamical Classifiers And Ambiguity.. - Ostendorf, Atlas.. (Correct)

....wear level. The static classifier is a special case of an HMM with only one state. The best case classifier was then used in combi nation with a second stage classifier for evaluating the utility of different feature sets. The second stage classifier, in this case a generalized linear model [17], is used to improve the prediction of the posterior probability that the tool is dull, as proposed in [12] The posterior probability is more useful to an operator than a hard decision and also provides a more fine grained view of the classifier performance. The posterior probability estimate is ....

J. M. Chambers and T. J. Hastie, Statistical Models in S, Wadsworth & Brooks, 1992.

Optimal Designs to Adjust for Interference With a Covariance .. - Olivier David Herv (1998) (Correct)

....optimal designs usually tend to group side by side treatments with close values of the interference character. Similar designs were proposed by David and Kempton (1996) in a slightly di erent context. The simulated annealing algorithm presented in Section 4.3. 2 has been programmed in S plus (Chambers and Hastie 1993). The routines are available from the authors. Appendix In this appendix, we show that the IA criterion satis es Properties ii) and iii) of Section 3.1. Let B denote the set of t t non negative de nite matrices with zero row and column sums. The A x criterion can be written as a function of ....

Chambers, J.M. and Hastie, T.J. (1993). Statistical Models in S. London: Chapman and Hall.

Neural Network Systems, Techniques and Applications in.. - Lampinen, Laaksonen, Oja (1997) (Correct)

....number of training vectors in the associated hyperrectangle. The tree classier therefore uses the Bayes rule with the class posterior probabilities estimated by locally constant functions. The particular tree classier described here is available as a part of the S Plus statistical software package [3, 14, 168]. This implementation uses a likelihood function to select the optimal splits [18] Pruning is performed by the minimal costcomplexity method. The cost of a subtree T is taken to be R ff (T ) ffl(T ) ff Delta size(T ) 24) where ffl(T ) is an estimate of the classication error of T , size ....

J. M. Chambers and T. J. Hastie, editors. Statistical Models in S. Chapman & Hall, New York, 1992.

Robust Alternatives to Least Squares - Stahel (Correct)

....in Stahel (1991) 8 Software a Robust methods are not yet widely available in software packages apart from robust measures of location and scale for a univariate sample. b The system which provides the largest coverage is the package S and its extension S Plus (Becker, Chambers and Wilks, 1988, Chambers and Hastie, 1992, Venables and Ripley, 1994, Statistical Sciences, 1988,1993) It implements a powerful language with many useful statistical, graphical and mathematical functions and allows for manipulating data and combining it with results of analyses in very flexible ways. Routines written in C or Fortran can ....

Chambers, J. M. and Hastie, T. J. (1992). Statistical Models in S, Wadsworth & Brooks/Cole, Pacific Grove.

Time Series Forecasting with Neural Networks: A Case Study - Faraway, Chatfield (1995) (4 citations) (Correct)

....of the chosen inputs. Choosing lags 1, 2, 12 and 13 for example, this may be written: x t = f 1 (x t Gamma1 ) f 2 (x t Gamma2 ) f 12 (x t Gamma12 ) f 13 (x t Gamma13 ) where the the functions f i are estimated nonparametrically. Using S Plus software, the GAM was fitted as described in Chambers and Hastie (1992), where the functions f i were estimated using splines. The estimated functions along with Sigma2 standard error pointwise confidence bands are shown in Fig. 6. The fitted function for x t Gamma2 is not significantly different from constant zero so we have the immediate message that this ....

Chambers, J. and Hastie, T. (1992) Statistical Models in S. Pacific Grove, CA: Wadsworth & Brooks/Cole.

Discriminant Analysis by Gaussian Mixtures - Trevor Hastie Statistics Self-citation (Hastie) (Correct)

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Chambers, J. & Hastie, T. (1991), Statistical Models in S, Wadsworth/Brooks Cole, Pacific Grove, California.

Degrees of Freedom Tests for Smoothing Splines - Cantoni, Hastie (2000) (1 citation) Self-citation (Hastie) (Correct)

....of 1 . For projection operators (like linear regression) statistic (7) is equivalent to the statistic that would compare the sums of squared residuals of the ts, because in this case y T (y y) y y) T (y y) In fact, the heuristic approach used by Hastie and Tibshirani (1990) and Chambers and Hastie (1991) for the comparison of the degrees of freedom of two nonparametric 5 ts is inspired by the theory of linear models and makes use of the information contained in the residual sum of squares by means of the test statistic = y y 0 ) T (y y 0 ) y y 1 ) T (y y 1 ) 1 ....

....only the trace of the smoother matrix, the approximation to the distribution of (7) by an F distribution involves only O(n) computations. If this approximation will prove accurate, it substantially reduces the computational burden of the procedure. The procedure of Hastie and Tibshirani (1990) and Chambers and Hastie (1991) based on sums of squared residuals is of order O(n 2 ) when the degrees of freedom are computed as i = Tr(2S i S i S T i ) even if the statistic itself can be computed in linear time. The computational price to pay goes down to O(n) when the approximated degrees of freedom i ....

Chambers, J. M. and Hastie, T. J. (Eds.) (1991). Statistical Models in S.

Time-Varying Network Tomography: - Router Link Data (Correct)

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J. M. Chambers and T. J. Hastie, editors. Statistical Models in S. Chapman & Hall, 1993.

Tuning Search Algorithms for Real-World Applications: A.. - Bartz-Beielstein, Markon (Correct)