Fast Methods for Posterior Inference of Two-Group Normal-Normal Models

Author:

Greengard Philip1,Hoskins Jeremy2,Margossian Charles C.1,Gabry Jonah1,Gelman Andrew1,Vehtari Aki3

Affiliation:

1. Columbia University, New York, USA

2. University of Chicago, Illinois, USA

3. Aalto University, Finland

Publisher

Institute of Mathematical Statistics

Subject

Applied Mathematics,Statistics and Probability

Reference24 articles.

1. Abramowitz, M. and Stegun, I. A. (eds.) (1964). Handbook of Mathematical Functions with Formulas, Graphs, and Mathematical Tables. Washington: U.S. Govt. Print. Off.

2. Bardini, R., Politano, G., Benso, A., and Di Carlo, S. (2017). “Multi-level and hybrid modelling approaches for systems biology.” Computational and Structural Biotechnology Journal, 15: 396–402.

3. Betancourt, M. (2018). “A conceptual introduction to Hamiltonian Monte Carlo.”

4. Betancourt, M., Byrne, S., and Girolami, M. (2015). “Optimizing the integrator step size for Hamiltonian Monte Carlo.” arXiv, 1411.6669.

5. Driscoll, T. A., Hale, N., and Trefethen, L. N. (2014). Chebfun Guide. Pafnuty Publications. URL http://www.chebfun.org/docs/guide/.

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