Statistical Problems in Particle Physics, Astrophysics and Cosmology : proceedings of PHYSTAT05, Oxford, UK, 12-15 September 2005 / editors, Louis Lyons. Müge Karagöz Ünel.
Material type: TextPublication details: London : Imperial College Press ; Singapore ; Hackensack, NJ : Distributed by World Scientific, ©2006.Description: 1 online resource (xi, 310 pages) : illustrationsContent type:- text
- computer
- online resource
- 9781860948985
- 1860948987
- PHYSTAT05
- Statistical astronomy -- Congresses
- Particles (Nuclear physics) -- Congresses
- Astrophysics -- Congresses
- Cosmology -- Congresses
- Statistique stellaire -- Congrès
- Particules (Physique nucléaire) -- Congrès
- Astrophysique -- Congrès
- Cosmologie -- Congrès
- SCIENCE -- Physics -- Astrophysics
- Astrophysics
- Cosmology
- Particles (Nuclear physics)
- Statistical astronomy
- 523.01 22
- QB149 .C65 2005eb
Item type | Home library | Collection | Call number | Materials specified | Status | Date due | Barcode | |
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Electronic-Books | OPJGU Sonepat- Campus | E-Books EBSCO | Available |
Includes bibliographical references.
Print version record.
Bayes/frequentist. Frequentist and Bayesian statistics : A critique (keynote address) / D.R. Cox. Generalized frequentist methods for calculating p-values and confidence intervals / L. Demortier. Bayesian reference analysis / L. Demortier. Cosmological Bayesian model selection / R. Trotta. Towards reconciliation between Bayesian and frequentist reasoning / T. Podobnik and T. Zivko -- Goodness of fit. Goodness of fit -- With a view towards particle physics / S.L. Lauritzen. Goodness-of-fit for sparse distributions in high energy physics / B. Yabsley. Likelihood analysis and goodness-of-fit in low counting rate experiments / A. Ianni -- The "sieve" algorithm -- Sifting data in the real world / M.M. Block. X[symbol] test for the comparison of weighted and unweighted histograms / N.D. Gagunashvili -- Likelihood/parameter estimation. Reduction of the number of variables in parameter inference / G. Zech. Errors from the likelihood function / R.J. Barlow. Asymmetric statistical errors / R.J. Barlow. Bias-free estimation in multicomponent maximum likelihood fits with component-dependent templates / P. Catastini and G. Punzi. Least squares approach to the alignment of the generic high precision tracking system / P. Bruckman de Renstrom and S. Haywood. A new fast track-fit algorithm based on broken lines / V. Blobel -- Nuisance parameters/limits/discovery. Treatment of nuisance parameters in high energy physics, and possible justifications and improvements in the statistics literature / R.D. Cousins. Response (to cousins) / N. Reid. Ordering algorithms and confidence intervals in the presence of nuisance parameters / G. Punzi. Likelihood ratio intervals with Bayesian treatment of uncertainties : Coverage, power and combined experiments / J. Conrad and F. Tegenfeldtf. Limits and confidence intervals in the presence of nuisance parameters / W.A. Rolke, A.M. Lopez and J. Conrad. The Bayesian approach to setting limits : What to avoid / J. Heinrich. Statistically dual distributions in statistical inference / S.I. Bityukov [and others]. Program for evaluation of significance, confidence intervals and limits by direct calculation of probabilities / S.I. Bityukov [and others]. Examining the balance between optimising an analysis for best limit setting and best discovery potential / G.C. Hill [and others]. Statistical challenges for searches for new physics at the LHC / K. Cranmer.
Machine learning. Separating signal from background using ensembles of rules / J.H. Friedman. Comment on "separating signal from background using ensembles of rules" / H.B. Prosper. Boosted decision trees, a powerful event classifier / B.P. Roe, H.-J. Yang and J. Zhu. Optimization of signal significance by bagging decision trees / I. Narsky (delivered by H.B. Prosper). Nonparametric Bayesian classification with massive datasets : Large-scale quasar discovery / A. Gray ... [eta l.]. Bayesian neural networks / P.C. Bhat and H.B. Prosper. Signal enhancement using multivariate classification techniques and physical constraints / R. Vilalta [and others] -- Software. Software for statistics for physics / J.T. Linnemann. Statistical computations with astrogrid and the grid / R. Nichol [and others]. gPlot : A quick introduction / M. Pivk (delivered by F. Le Diberder). Easy data analysis using R / M. Paterno. Statistics in root / R. Brun, A. Kreshuk and L. Moneta. The roofit toolkit for data modeling / W. Verkerke and D. Kirkby. An update on the goodness-of-fit statistical toolkit / B. Mascialino [and others]. CEDAR : Combined e-science data analysis resource / A. Buckley -- Visualisation. Visualising data / S. Holmes -- Astrophysics. Astrophysics with terabytes of data / A.S. Szalay. Multiscale geometric analysis of the 2DF data / J.-L. Starck, V.J. Martinez and E. Saar. Application of a multidimensional wavelet denoising algorithm for the detection and characterization of astrophysical sources of gamma rays / S.W. Digel [and others]. Higher criticism statistic : Theory and applications in non-Gaussian detection / J. Jin. Expected principal component analysis of cosmic microwave background anisotropies / S. Leach -- Time series. On-line inference for data streams / P. Clifford -- Deconvolution. Some aspects of statistical image modelling and restoration / D.M. Titterington. Iterative inversion methods for statistical inverse problems / N. Bissantz. Unfolding with system identification / N.D. Gagunashvili -- Summaries. Statistics in astrophysics and cosmology : Phystat05 / A.H. Jaffe. Summary of some statistical issues / N. Reid. Concluding talk : Physics / G.J. Feldman.
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.
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