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 

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 
BiasFree Estimation in Multicomponent Maximum Likelihood Fits with ComponentDependent 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 algorithm 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 goodnessoffit for low countrate experiments 
4.10 
Trotta 
Cosmological applications of Bayesian model selection techniques 
4.35 
Yabsley 
Goodnessoffit for sparse 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 trackfit algorithm based on broken lines 
2.50 
Block 
Sifting data in the real world 
3.15 
Pivk/Le Diberder 
sPLot; a statistical tool to unfold data distributions
(Talk given on behalf of M. Pivk) 
4.10 
Pia 
An update on the GoodnessofFit 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 
2.25 
Bhat 
Bayesian Neural Networks 
2.50 
Sarda 
Signal Enhancement Using Multivariate Classification Techniques and Physical Constraints 
3.15 
Gray 
How to do BayesOptimal Classification with Massive Datasets: LargeScale Quasar Discovery 
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 
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 
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 