13 citations · 85 across the 25 of their papers we have counts for
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stat.ME2019★ 5 cited
Validation of Approximate Likelihood and Emulator Models for Computationally Intensive Simulations
Niccolò Dalmasso, Ann B. Lee, Rafael Izbicki +3
Complex phenomena in engineering and the sciences are often modeled with computationally intensive feed-forward simulations for which a tractable analytic likelihood does not exist…
math.ST2019★ 4 cited
Comparing a Large Number of Multivariate Distributions
Ilmun Kim
In this paper, we propose a test for the equality of multiple distributions based on kernel mean embeddings. Our framework provides a flexible way to handle multivariate or even hi…