Contents -- Preface -- Bayes/Frequentist -- Frequentist and Bayesian Statistics: A Critique (Keynote Address) -- Generalized Frequentist Methods for Calculating p-Values and Confidence Intervals -- Bayesian Reference Analysis -- Cosmological Bayesian Model Selection -- Towards Reconciliation Between Bayesian and Frequentist Reasoning -- Goodness of Fit -- Goodness of Fit - With a View Towards Particle Physics -- Goodness-of-Fit for Sparse Distributions in High Energy Physics -- Likelihood Analysis and Goodness-of-Fit in Low Counting Rate Experiments -- The "Sieve" Algorithm - Sifting Data in the Real World -- x2 Test for the Comparison of Weighted and Unweighted Histograms -- Likelihood/Parameter Estimation -- Reduction of the Number of Variables in Parameter Inference -- Errors from the Likelihood Function -- Asymmetric Statistical Errors -- Bias-Free Estimation in Multicomponent Maximum Likelihood Fits with Component-Dependent Templates -- Least Squares Approach to the Alignment of the Generic High Precision Tracking System -- A New Fast Track-Fit Algorithm Based on Broken Lines -- Nuisance Parameters/Limits/Discovery -- Treatment of Nuisance Parameters in High Energy Physics and Possible Justifications and Improvements in the Statistics Literature -- Response (To Cousins) -- Ordering Algorithms and Confidence Intervals in the Presence of Nuisance Parameters -- Likelihood Ratio Intervals with Bayesian Treatment of Uncertainties: Coverage Power and Combined Experiments -- Limits and Confidence Intervals in the Presence of Nuisance Parameters -- The Bayesian Approach to Setting Limits: What to Avoid -- Statistically Dual Distributions in Statistical Inference.

Program for Evaluation of Significance Confidence Intervals and Limits by Direct Calculation of Probabilities -- Examining the Balance Between Optimising an Analysis for Best Limit Setting and Best Discovery Potential -- Statistical Challenges for Searches for New Physics at the LHC -- Machine Learning -- Separating Signal from Background Using Ensembles of Rules -- Comment on "Separating Signal from Background Using Ensembles of Rules" -- Boosted Decision Trees A Powerful Event Classifier -- Optimization of Signal Significance by Bagging Decision Trees -- Nonparametric Bayesian Classification with Massive Datasets: Large-Scale Quasar Discovery -- Bayesian Neural Networks -- Signal Enhancement Using Multivariate Classification Techniques and Physical Constraints -- Software -- Software for Statistics for Physics -- Statistical Computations with Astrogrid and the Grid -- sPlot: A Quick Introduction -- Easy Data Analysis Using R -- Statistics in Root -- The RooFit Toolkit for Data Modeling -- An Update on the Goodness-of-Fit Statistical Toolkit -- CEDAR: Combined E-Science Data Analysis Resource -- Visualisation -- Visualising Data -- Astrophysics -- Astrophysics with Terabytes of Data -- Multiscale Geometric Analysis of the 2DF Data -- Application of a Multidimensional Wavelet Denoising Algorithm for the Detection and Characterization of Astrophysical Sources of Gamma Rays -- Higher Criticism Statistic: Theory and Applications in Non-Gaussian Detection -- Expected Principal Component Analysis of Cosmic Microwave Background Anisotropies -- Time Series -- On-Line Inference for Data Streams -- Deconvolution -- Some Aspects of Statistical Image Modelling and Restoration -- Iterative Inversion Methods for Statistical Inverse Problems -- Unfolding with System Identification -- Summaries.

Statistics in Astrophysics and Cosmology: PhyStat05 -- Summary of Some Statistical Issues -- Concluding Talk: Physics -- Appendices -- Questions for Panel Discussion -- Panel Discussion -- Committees -- List of Participants.