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Weinberg (2012) described a constructive algorithm for computing the marginal likelihood, Z, from a Markov chain simulation of the posterior distribution.
A Bayesian approach to the semi-analytic model of galaxy formation: methodology
Lu, Y., Mo, H. J., Weinberg, M. D., and Katz, N. (2011) · 1964
Earlier work this paper cites.
Bayes Factors
Kass, R. E. and Raftery, A. E. (1995) · 1995
Earlier work this paper cites.
Computing Bayes factors by combining simulation and asymptotic approximations
DiCicio, T., Kass, R., Raftery, A., and Wasserman, L. (1997) · 1997
Earlier work this paper cites.
Marginal likelihood from the metropolis-hastings output
Chib, S. and Jeliazkov, I. (2001) · 2001
Cited alongside, same era.
Dynamic Programming
Bellman, R. E. (1957, 2003) · 2003
Cited alongside, same era.
New insights into galaxy structure from GALPHAT- I. Motivation, methodology and benchmarks for Sérsic models
Yoon, I., Weinberg, M. D., and Katz, N. (2011) · 2011
Cited alongside, same era.
Bayesian census of k s k_{s} -band galaxy morphology in the two micron all sky survey: A pilot study
Yoon, I., Weinberg, M. D., and Katz, N. (2013a)
Cited in the paper.
Yoon, I., Weinberg, M. D., and Katz, N. (2013b)
Cited in the paper.
Bayesian inference of galaxy formation from the K-band luminosity function of galaxies: tensions between theory and observation
Lu, Y., Mo, H. J., Katz, N., and Weinberg, M. D. (2012) · 2012
Later among the works it cites.
Computing the bayes factor from a markov chain monte carlo simulation of the posterior distribution
Weinberg, M. D. (2012) · 2012
Later among the works it cites.
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