Tibshirani PowerPoint PPT Presentations

Xp. X1. X2. 1. Z1. Z2. ZM. b1. b2. bM. 1. b0. aij. Sum of multilogit models. T ... 24pt; font-weight: normal; font-style: normal; text-decoration: none; ' where ...

Presented by: John Paisley. Duke University, Dept. of ECE. Introduction. Consider an overdetermined system of linear equations (more equations than unknowns) ...

Detecting Differentially Expressed Genes in Known Classes. of Tissue Samples ... Genovese and Wasserman (2002) Storey (2002, 2003) Storey and Tibshirani (2003a, 2003b) ...

Linear Regression Models Based on Chapter 3 of Hastie, Tibshirani and Friedman Linear Regression Models Least Squares Gauss-Markov Theorem bias-variance Too Many ...

Robert Tibshirani, Guenther Walther and Trevor Hastie. J.R. Statist. Soc. ... 50 observations from each of two bivariate normal populations with means (0,0) ...

The Elements of Statistical Learning. Hastie, Tibshirani, Friedman ... Taming Text : An Introduction to Text Mining. Louise Francis. Text Mining. Weiss et al ...

Derivation from minimizing the sum of squares. Probabilistic interpretation ... Bradley Efron, Trevor Hastie, Iain Johnstone and Robert Tibshirani,'Least Angle ...

and consider all genes that differ by more than an arbitrary cutoff ... Genovese and Wasserman (2002) Storey (2002, 2003) Storey and Tibshirani (2003a, 2003b) ...

Some Statistical Issues in. Analyzing Gene Expression. Geoff McLachlan ... Genovese and Wasserman (2002) Storey (2002, 2003) Storey and Tibshirani (2003a, 2003b) ...

A Comprehensive Cancer Center has reasonable depth and breadth of research ... Y. Kim, R. Tibshirani, R. Warnke, J. Zehnder, S. Glaser, J. Swartz ...

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Cross Validation of SVMs for Acoustic Feature Classification using Entire Regularization Path ... Can use entire regularization path of SVM to find optimal C ...

Bagging a Stacked Classifier. Lemmens A. ... Austral. NNet. Logit. Discrim. Tree. Level-Zero Classifiers. Test Error. Rate (in ... Austral. CW. Bagged Stacked ...

Linear Discriminant Analysis. Virtues of LDA: ... This in turn leads to more flexible forms of discriminant analysis, called FDA ...

B) Initial values and convergence criterion ... D) Visualization of results. Note: many of these issues ... However, the results in the case of two elongated ...

Diagnosis of multiple cancer types by shrunken centroids of gene ... a set of features which discriminates the conditions perfectly can be found (overfitting) ...

samples. Estimate attributes. of d(i)'s distribution. Identify potentially. Significant genes ... http://www-stat-class.stanford.edu/SAM/servlet/SAMServlet. Thank You. ...

Department of Computer Science and Engineering. Arizona State University ... In majority of experiments, 0 is in the confidence interval, meaning the ...

The whole procedure is repeated several times with different block constellations. ... trainlist - list(x=t(x),y=y) model - pamr.train(trainlist,threshold=threshold, ...

Title: Distributed Inference in Sensor Networks Author: S Last modified by: Joseph Bradley Created Date: 12/3/2003 4:12:11 AM Document presentation format

predicting a person's weight may depend on different attributes than predicting their IQ ... All algs so far are strict averagers: interpolate, but can't extrapolate ...

The Evaluation of the Johnson's Modified Procedure for ... The Monte Carlo Experiment. Upper-tailed. Test. Upper-tailed. Test. Lower-tailed Test. Lower-tailed ...

We want to know if the expression level changed from condition A to condition B. ... Perform Northern Blot- strong correlation found ...

Minca Mramor, Marko Toplak, Gregor Leban, Toma Curk, Janez Dem ar and ... Gregor Rot. Lan Umek. Ale Erjavec. Miha tajdohar. Lan agar. Crt Gorup. Ivan Bratko ...

DNA copy number alterations have been measured using fluorescence in situ hybridization-based techniques. The development of a genome wide technique ...

Effects of the Application of Parameter Shrinkage Techniques on the Quality of ... The LOUISE database. consists of labour statistics of the Swedish population between ...

What You See May Not Be What You Get: A Primer on Regression Artifacts Michael A. Babyak, PhD Duke University Medical Center

Boosting approach, definition, characteristics. Early Boosting Algorithms ... constructing ensembles of decision trees: Bagging, boosting, and randomization. ...

1024-dimensional principal component 32X32 spectrogram, plot as an image: 1st principal component (not shown) measures total energy of the spectrogram ...

90th Quantile of the PDI distribution. Standard error (DELTA method) Model fit ... Computation of GEV 90th quantile (VGAM and VGLM) GRIDPOINTS GEV PARAMETERS ...

T = number of time periods for estimating . Note: wi could be negative for short sales. ... number of assets, N, far smaller than the number of time periods, T) ...

Tight Clustering: a method for extracting stable and tight patterns in expression profiles

Special Topics in Data Mining Applications. Focus on: Text ... R. O. Duda, P. E. Hart, D. G. Stork, 'Pattern Classification', Second Edition, Wiley, 2001. ...

Based on previous studies realized in ... one that minimizes the penalized sum of squares. Closeness to the data penalization of the curvature of f ...

Consider a set of observations (points) uniformly distributed within a unit hypercube. ... least-squares fit. Is this point an 'outlier ' or an 'activity cliff ' ...

... smoothers (L1, L2, CSS, GK, H13) and different ARMA(p,q) models (p,q=1,0; 2,0; 0,1; 0,2;1,1) ... ARMA(1,1) with 0. MA(2) with 2 1 AR(2) with 1 2 CONCLUSIONS ...

Generate bootstrap samples (B) from this distribution. ... Obtain B bootstrap estimates of the ... [LCL, UCL] can exceed the min and max from the observed data ...

A Discussion of False Discovery Rate and the ... Myostatin Knockout Mice vs. Wild Type. Belgian Blue. cattle have a. mutation in the. myostatin gene. ...

Dichotomization of a variable measured with error (y = .4x e) ... Doesn't always make measurement sense. Almost always reduces power ...

Are measurable aspects of the state of the immune system ... Modifed Gauss-Seidel; Highly tuned C implementation. http://stat.rutgers.edu/~madigan/BBR ...

'Data mining is the analysis of data to establish relationships and ... (http://www.es.oersted.dtu.dk/~masc/resonance.htm) 12. Cocktail Party Problem. Scenario: ...

Wild-type vs. Myostatin Knockout Mice. Belgian Blue. cattle have a. mutation in the. myostatin gene. Affymetrix GeneChips on 5 Mice per Genotype. WT. WT. WT. M. M ...

BiasVariance Tradeoff

Important clustering methods used in microarray data analysis Steve Horvath Human Genetics and Biostatistics UCLA Contents Multidimensional scaling plots Related to ...

Domain Knowledge: textual descriptions for categories ... Prior variance quantifies our confidence in the domain knowledge. Aynur Dayanik. An Example Model ...

National Chiao Tung University. hslu@stat.nctu.edu.tw. http://tigpbp. ... Chapman & Hall/CRC. Chernick, M. R. (1999). Bootstrap Methods, A practitioner's guide. ...

For some ML algorithms, a direct extension to the multiclass case may be ... Row separations: Each codeword should be well-separated in Hamming distance from ...

Machine translation, part-of-speech tagging, information extraction, question ... Figueiredo (2001); Similar to Tipping's Relevance Vector Machine (JMLR, 2001); LASSO ...

better. worse. 100. FDA-led Quality Control Study. cross-time. cross-site. cross-platform ... VST for Affymetrix. Hypothesis: VST also works for Affymetrix arrays ...

Title: PowerPoint Presentation Author: Joan Severson Last modified by: matthe rizzo Created Date: 8/3/2004 6:38:47 PM Document presentation format

The goal of Principal components analysis (Hotelling, ... Choose up to the component whose eigenvalue is greater than 1. Use 'Scree Plot'. Example:Bupa ...

DNA copy number alterations are key genetic events in the development and ... (2) Then we permute the order of the 23 samples (columns) of the expression ...

Create KrasLA mouse model: Mice with sporadically activated Kras2 through ... Mice develop lung adenoma ... Mouse tumor from KrasLA and NNK model were not ...

Dimension Augmenting Vector Machine (DAVM): A new General Classifier System for ... Classification is a supervised ... ( e.g. Elastic Net, Fussed Lasso) ...

... each bj is near 0. Encode this belief as separate Gaussian prior distributions over values of bj ... The Penn Treebank POS Tag Set. POS Tagging Algorithms ...

High. Test sample. Training sample. Prediction error ... from weather forecasts and calendar records (season, weekday, holiday) ...