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PHYSTAT2003: Statistical Problems in Particle Physics,
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Bayesian Restoration of Digital Images Employing Markov Chain Monte Carlo a Review,
K. P. N. Murthy,
National Seminar on Recent Trends in Digital Image Processing and Applications,
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An Essay towards solving a Problem in the Doctrine of Chances.
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Unbiased cut selection for optimal upper limits in neutrino detectors: the model rejection potential technique,
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Astropart. Phys. 19 (2003) 393,
A Bayesian Assessment of P-Values for Significance Estimation of Power Spectra and an Alternative Procedure,
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P.A. Sturrock, J.D. Scargle,
Astrophys. J. 706 (2009) 393-398,
Probably a discovery: Bad mathematics means rough scientific communication,
University of Perugia,
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Discovery and Upper Limits in Search for Exotic Physics with Neutrino Telescopes,
Workshop on Exotic Physics with Neutrino Telescope,
Maximum likelihood estimation for a group of physical transformations,
G. Chiribella, G. M. D'Ariano, P. Perinotti, M. F. Sacchi,
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A Hidden Markov model for Bayesian data fusion of multivariate signals,
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Triennial Calcutta Symposium on Probability and Statistics,
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From Observations to Hypotheses: Probabilistic Reasoning Versus Falsificationism and its Statistical Variations,
2004 Vulcano Workshop on Frontier Objects in Astrophysics and Particle Physics,
Vulcano (Italy) May 24-29,
A. Caticha, R. Preuss,
the 23d International Workshop on Bayesian Inference and Maximum Entropy Methods (August 3-8,
Relative Entropy and Inductive Inference,
the 23rd International Workshop on Bayesian Inference and Maximum Entropy Methods (August 3-8,
Bayesian reasoning versus conventional statistics in high energy physics,
18th International Workshop on Maximum Entropy and Bayesian Methods (MaxEnt 98),
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Unfolding of experimental distributions by an interactive use of Bayes's formula with intermediated smoothing,
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Bayesian Implications of Current LHC and XENON100 Search Limits for the Constrained MSSM,
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False-alarm probability in relation to over-sampled power spectra,
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Peter A. Sturrock, Jeffrey D. Scargle,
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Improving Application of Bayesian Neural Networks to
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Ye Xu, WeiWei Xu, YiXiong Meng, Bin Wu,
JINST 4 (2009) P01004,
Applying Bayesian Neural Network to Determine Neutrino
Incoming Direction in Reactor Neutrino Experiments and Supernova
Explosion Location by Scintillator Detectors,
Weiwei Xu, Ye Xu, Yixiong Meng, Bin Wu,
JINST 4 (2009) P01002,
Accounting for Source Uncertainties in Analyses of Astronomical Survey Data,
Thomas J. Loredo,
Aip Conf. Proc. 735 (2005) 195,
Bayesian Inference And Maximum Entropy Methods In Science And Engineering: 24th International Workshop,
Bayesian Wavelet Based Signal and Image Separation,
M. M. Ichir, A. Mohammad-Djafari,
on Bayesian Inference and Maximum Entropy Methods (Maxent 2003) Jackson Hole (WY),
Localization of GRBs by Bayesian Analysis of Data from the HETE WXM,
C. Graziani, D. Q. Lamb et al.(HETE Science Team),
"Gamma-Ray Burst and Afterglow Astronomy 2001" Woods Hole,
Including systematic uncertainties in confidence interval construction for Poisson statistics,
Conrad, J., Botner, O., Hallgren, A., Perez de los Heros, Carlos,
Phys. Rev. D67 (2003) 012002,
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discovery and cut optimization for a Poisson process with uncertainty in background and signal efficiency: TRolke 2.0,
J. Lundberg, J. Conrad, W. Rolke, A. Lopez,
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Likelihood ratio intervals with Bayesian treatment of uncertainties: coverage,
power and combined experiments,
Jan Conrad, Fredrik Tegenfeldt,
Imperial College Press.
Signal significance in the presence of systematic and statistical uncertainties,
Bityukov, S. I.,
JHEP 09 (2002) 060,
8th International Workshop on Advanced Computing and Analysis Techniques in Physics Research (ACAT 2002),
24-28 June 2002.