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SOFTWARE PUBLICATIONS:
- EMC2: Bayesian Multi-Scale Analysis of Low-Count Images. This package is designed for Multi-Scale Non-parametric Image analysis for use in High-Energy Astrophysics. The code implements an MCMC sampler that simultaneously fits the image and the necessary tuning/smoothing parameters in the model. The model-based approach allows for quantification of the standard error of the fitted image.
The code is expected to be posted soon on Astrostatistics page at Harvard Center for Astrophysics.
(Download Software).
Two related papers are available.
(Download related ApJ paper.).
(Download related SCMA paper.).
- BEHR: Bayesian Estimation of Hardness Ratios. This code uses Poisson models for principled Bayesian estimation of hardness ratios in ultra low-resolution spectral analysis for use in high-energy astrophysics.
The computer code and a paper describing and illustrating the method are available.
(Download Software).
(Download related ApJ paper.).
- MNP: R Package for Fitting the Multinomial Probit Model. This package used the method of marginal data augmentation to construct efficient MCMC samplers for the multinomial probit model.
An R-package and two papers describing the method are available.
(Download Software).
(Download related JoE paper.).
(Download related JSS paper.).