Bayesian inference in physics
By U. von Toussaint. 2011
366 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Statistical and Nonlinear Physics, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/3fdb02ebcd5cf422f5ed67ed3783d9f43997216c
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In Artificial Intelligence
In Statistical and Nonlinear Physics
In Statistics and Probability
Citations in the corpus
- Evaluating marginal likelihood with thermodynamic integration method and comparison with several other numerical methods (2016, methodology): “Approximating the marginal likelihood using Monte Carlo (MC) methods has become popular [Kass and Raftery, 1995; Han and Carlin, 2001; von Toussaint, 2011; Friel and Wyse, 2012; Vrugt et al., 2013].”
- Bayesian Estimation and Inference (2015, methodology): “Although new to organizational research, Bayesian methods exist in many disciplines, such as physics (Dose, 2003; von Toussaint, 2011), atmospheric science (Wilks, 2011), geology (Curtis & Wood, 2004), biomedicine (Ashby, 2006; Greenland, 2006, 2007), and economics (Chib, Griffiths, Koop, &…”