Monday PM
Sciama Lecture Theatre |
| 2.00 |
Bissantz |
Regularized inversion methods and error bounds for general statistical inverse problems with application to density estimation of young massive cluster luminosities in the Antennae galaxies |
| 2.25 |
Barlow |
Asymmetric Errors |
| 2.50 |
Demortier |
Bayesian Reference Analysis for Particle Physics |
| 3.15 |
Le Diberder |
Bayesian analysis at work: troublesome examples |
| 3.40 |
Tea Break |
| 4.10 |
Rolke |
Limits and Confidence Intervals in the Presence of Nuisance Parameters |
| 4.35 |
Zech |
Maximum Likelihood Parameter Inference from Lowe Statistics Data and Monte Carlo Simulation |
| 5.00 |
Catastini |
Bias-Free Estimation in Multicomponent Maximum Likelihood Fits with Component-Dependent Templates |
| 5.25 |
Barlow |
A note on Delta ln L = -1/2 errors |
Fisher Room |
| 2.00 |
Hill |
Examining the balance between optimising an analysis for best limit setting and best discovery potential |
| 2.25 |
Digel |
Application of a multidimensional wavelet denoising algorithum for the detention and characterization of astrophysical sources of Gamma rays. |
| 2.50 |
Jin |
Higher Criticism Statistic: Optimality and Applications in Cosmology and Astronomy |
| 3.15 |
Ianni |
Likelihood analysis and goodness-of-fit for low count-rate experiments |
| 3.40 |
Tea Break |
| 4.10 |
Trotta |
Cosmological applications of Bayesian model selection techniques |
| 4.35 |
Yabsley |
Goodness-of-fit for sparce distributions in high energy physics. |
| 5.00 |
Leach |
Expected principal component analysis of cosmic microwave background anisotropies |
| 5.25 |
Nicholls |
Fitting boundary value problems |
Wednesday PM
Sciama Lecture Theatre |
| 2.00 |
Bruckman |
Least Squares Approach to the Alignment of the Generic High Precision Tracking System |
| 2.25 |
Blobel |
A new fast track-fit algorithm based on broken lines |
| 2.50 |
Block |
Sifting data in the real world |
| 3.15 |
Le
Diberder |
sPLot; a statistical tool to unfold data distribitions
(Talk given on behalf of M. Pivk) |
| 3.40 |
Tea Break |
| 4.10 |
Pia |
An update on the Goodness-of-Fit Statistical Toolkit |
| 4.35 |
Kreshuk |
Statistics in ROOT |
| 5.00 |
Verkerke |
The RooFit toolkit for data modeling |
| 5.25 |
Paterno |
Easy Data Analysis using R |
Fisher Room |
| 2.00 |
Bargassa |
Application of machine learning tools to particle Physics |
| 2.25 |
Bhat |
Bayesian Neural Networks |
| 2.50 |
Sarda |
Signal Enhancement Using Multivariate Classification Techniques and Physical Constraints |
| 3.15 |
Gray |
How to do Bayes-Optimal Classification with Massive Datasets: Large-Scale Quasar Discovery |
| 3.40 |
Tea Break |
|
| 4.10 |
Narksy |
Optimization of Signal Significance by Bagging Decision Trees |
| 4.35 |
Roe |
The Boosting Technique for Particle Physics |
| 5.05 |
Zivko |
On consistent and calibrated inference about the
parameters of sampling distributions |
Room 501 |
| 2.00 |
Punzi
pdf |
Ordering Algorithms and Confidence Intervals in the Presence of Nuisance Parameters |
| 2.25 |
Tegenfeldt/Conrad |
Likelihood Ratio Confidence Intervals with Bayesian Treatment of Systematic Uncertainties |
| 2.50 |
Heinrich |
The Bayesian Approach to Setting Limits: What to Avoid |
| 3.15 |
Demortier |
Generalized Frequentist Methods for Particle Physics |
| 3.40 |
Tea Break |
| 4.10 |
Raja |
A General Theory of Goodness of Fit in Likelihood Fits |
| 4.35 |
Gagunashvili |
Unfolding with system identification |
| 5.00 |
Bityukov |
Statistically dual distributions in statistical inference. |
| 5.25 |
Bonvicini |
Most common likelihood principle |
Posters will be on display from the beginning of the Conference, but will have their presenters in attendance during this period on Wednesday late afternoon.
| Alavi |
Random walks, a link between statistical, condensed matter, mathematical and particle Physics. |
| Bityukov |
Program for evaluation of the significance confidence intervals and limits by direct probabilities calculations. |
| Bityukov |
The Bayesian effects in measurement of the astmmetry of Poisson flows. PDF version. |
| Buckley |
CEDAR: Combined e-Science Data Analysis Resource |
| Chaturvedi |
Restoration of Supersymmetry against arbitrary small quantum corrections using feedforward neural network |
| Gagunashvili |
x2 test for comparison of weighted and unweighted histograms |
| Linnemann |
Statistical Software |
| Muenich/Hill |
Confidence interval construction applied to an unfolding problem |
| Narsky |
StatPatternRecongnition: A C++ Package for Statistical Analysis of High Energy Physics Data |
| Raja |
Calculation of errors in fitted quantities in likelihood fits |