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E-grāmata: Statistical Problems In Particle Physics, Astrophysics And Cosmology - Proceedings Of Phystat05

Edited by (Univ Of Oxford, Uk), Edited by (Univ Of Oxford, Uk)
  • Formāts: 324 pages
  • Izdošanas datums: 16-May-2006
  • Izdevniecība: Imperial College Press
  • Valoda: eng
  • ISBN-13: 9781908979889
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Statistical Problems In Particle Physics, Astrophysics And Cosmology - Proceedings Of Phystat05Palielināt
  • Formāts: 324 pages
  • Izdošanas datums: 16-May-2006
  • Izdevniecība: Imperial College Press
  • Valoda: eng
  • ISBN-13: 9781908979889
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These proceedings comprise current statistical issues in analyzing data in particle physics, astrophysics and cosmology, as discussed at the PHYSTAT05 conference in Oxford. This is a continuation of the popular PHYSTAT series; previous meetings were held at CERN (2000), Fermilab (2000), Durham (2002) and Stanford (2003).In-depth discussions on topical issues are presented by leading statisticians and research workers in their relevant fields. Included are invited reviews and contributed research papers presenting the latest, state-of-the-art techniques.
Preface v
Bayes/Prequentist
1(22)
Frequentist and Bayesian Statistics: A Critique (Keynote Address)
3(4)
D. R. Cox
Generalized Frequentist Methods for Calculating p--Values and Confidence Intervals
7(4)
L. Demortier
Bayesian Reference Analysis
11(4)
L. Demortier
Cosmological Bayesian Model Selection
15(4)
R. Trotta
Towards Reconciliation Between Bayesian and Frequentist Reasoning
19(4)
T. Podobnik
T. Zivko†
Goodness of Fit
23(22)
Goodness of Fit --- With a View Towards Particle Physics
25(6)
S. L. Lauritzen
Goodness-of-Fit for Sparse Distributions in High Energy Physics
31(4)
B. Yabsley
Likelihood Analysis and Goodness-of-Fit in Low Counting Rate Experiments
35(4)
A. Ianni
The ``Sieve'' Algorithm --- Sifting Data in the Real World
39(4)
M. M. Block
X2 Test for the Comparison of Weighted and Unweighted Histograms
43(2)
N. D. Gagunashvili
Likelihood/Parameter Estimation
45(28)
Reduction of the Number of Variables in Parameter Inference
47(4)
G. Zech
Errors from the Likelihood Function
51(5)
R. J. Barlow
Asymmetric Statistical Errors
56(4)
R. J. Barlow
Bias-Free Estimation in Multicomponent Maximum Likelihood Fits with Component-Dependent Templates
60(4)
P. Catastini†
G. Punzi
Least Squares Approach to the Alignment of the Generic High Precision Tracking System
64(4)
P. Bruckman de Renstrom†
S. Haywood
A New Fast Track-Fit Algorithm Based on Broken Lines
68(5)
V. Blobel
Nuisance Parameters/Limits/Discovery
73(52)
Treatment of Nuisance Parameters in High Energy Physics, and Possible Justifications and Improvements in the Statistics Literature
75(11)
R. D. Cousins
Response (To Cousins)
86(2)
N. Reid
Ordering Algorithms and Confidence Intervals in the Presence of Nuisance Parameters
88(5)
G. Punzi
Likelihood Ratio Intervals with Bayesian Treatment of Uncertainties: Coverage, Power and Combined Experiments
93(4)
J. Conrad
F. Tegenfeldt†
Limits and Confidence Intervals in the Presence of Nuisance Parameters
97(1)
W. A. Rolke†
A. M. Lopez
J. Conrad
The Bayesian Approach to Setting Limits: What to Avoid
98(4)
J. Heinrich
Statistically Dual Distributions in Statistical Inference
102(4)
S. I. Bityukov†
V. V. Smirnova
N. V. Krasnikov
V. A. Taperechkina
Program for Evaluation of Significance, Confidence Intervals and Limits by Direct Calculation of Probabilities
106(2)
S. I. Bityukov†
S. E. Erofeeva
N. V. Krasnikov
A. N. Nikitenko
Examining the Balance Between Optimising an Analysis for Best Limit Setting and Best Discovery Potential
108(4)
G. C. Hill†
J. Hodges
B. Hughey
A. Karle
M. Stamatikos
Statistical Challenges for Searches for New Physics at the LHC
112(13)
K. Cranmer
Machine Learning
125(34)
Separating Signal from Background Using Ensembles of Rules
127(10)
J. H. Friedman
Comment on ``Separating Signal from Background Using Ensembles of Rules''
137(2)
H. B. Prosper
Boosted Decision Trees, A Powerful Event Classifier
139(4)
B. P. Roe†
H. -J. Yang
J. Zhu
Optimization of Signal Significance by Bagging Decision Trees
143(4)
I. Narsky
H. B. Prosper
Nonparametric Bayesian Classification with Massive Datasets: Large-Scale Quasar Discovery
147(4)
A. Gray†
G. Richards
R. Nichol
R. Brunner
A. Moore
Bayesian Neural Networks
151(4)
P. C. Bhat†
H. B. Prosper
Signal Enhancement Using Multivariate Classification Techniques and Physical Constraints
155(4)
R. Vilalta†
P. Sarda
G. Mutchler
B. P. Padley
S. Taylor
Software
159(36)
Software for Statistics for Physics
161(6)
J. T. Linnemann
Statistical Computations with Astrogrid and the Grid
167(6)
R. Nichol
G. Smith
C. Miller
C. Genovese
L. Wasserman
B. Bryan
A. Gray
J. Schneider
A. Moore
sPlot: A Quick Introduction
173(5)
M. Pivk
F. Le Diberder
Easy Data Analysis Using R
178(4)
M. Paterno
Statistics in Root
182(4)
R. Brun
A. Kreshuk†
L. Moneta
The RooFit Toolkit for Data Modeling
186(4)
W. Verkerke†
D. Kirkby
An Update on the Goodness-of-Fit Statistical Toolkit
190(3)
B. Mascialino
M. G. Pia†
A. Pfeiffer
A. Ribon
P. Viarengo
CEDAR: Combined E-Science Data Analysis Resource
193(2)
A. Buckley
Visualisation
195(14)
Visualising Data
197(12)
S. Holmes
Astrophysics
209(32)
Astrophysics with Terabytes of Data
211(8)
A. S. Szalay
Multiscale Geometric Analysis of the 2DF Data
219(10)
J.-L. Starck
V. J. Martinez
E. Saar
Application of a Multidimensional Wavelet Denoising Algorithm for the Detection and Characterization of Astrophysical Sources of Gamma Rays
229(4)
S. W. Digel†
B. Zhang
J. Chiang
J. M. Fadili
J. -L. Starck
Higher Criticism Statistic: Theory and Applications in Non-Gaussian Detection
233(4)
J. Jin
Expected Principal Component Analysis of Cosmic Microwave Background Anisotropies
237(4)
S. Leach
Time Series
241(12)
On-Line Inference for Data Streams
243(10)
P. Clifford
Deconvolution
253(18)
Some Aspects of Statistical Image Modelling and Restoration
255(8)
D. M. Titterington
Iterative Inversion Methods for Statistical Inverse Problems
263(4)
N. Bissantz
Unfolding with System Identification
267(4)
N. D. Gagunashvili
Summaries
271(18)
Statistics in Astrophysics and Cosmology: Phystat05
273(6)
A. H. Jaffe
Summary of Some Statistical Issues
279(4)
N. Reid
Concluding Talk: Physics
283(6)
G. J. Feldman
Appendices 289(2)
Questions for Panel Discussion 291(3)
Panel Discussion 294(14)
Committees 308(1)
List of Participants 309
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