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We introduce BayesSim, a framework for robotics simulations allowing a full Bayesian treatment for the parameters of the simulator.
The Theory of Stochastic Processes , volume 1
I. I. Gihman and A. V. Skorohod · 1974
Earlier work this paper cites.
Dynamic System Identification: Experiment Design and Data Analysis
Graham C. Goodwin and Robert L. Payne · 1977
Earlier work this paper cites.
An improved low-discrepancy sequence for multidimensional quasi-Monte Carlo integration
E. Braaten and G. Weller · 1979
Earlier work this paper cites.
Monte Carlo methods of inference for implicit statistical models
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Earlier work this paper cites.
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Long-Ji Lin · 1992
Earlier work this paper cites.
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Earlier work this paper cites.
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Christopher M Bishop · 1994
Earlier work this paper cites.
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Earlier work this paper cites.
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Jonathan K Pritchard, Mark T Seielstad, Anna Perez-Lezaun, and Marcus W Feldman · 1999
Earlier work this paper cites.
Interpolation of Spatial Data
M. L. Stein · 1999
Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
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