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  "Title": "Emulation of Dynamic Simulators via One-Step-Ahead Approach",
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  "Authors@R": "person(given=\"Junoh\", family=\"Heo\", role=c(\"aut\", \"cre\"), email=\"heojunoh@msu.edu\")",
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  "Description": "Performs emulation of dynamic simulators using Gaussian\nprocess via one-step ahead approach. The package implements a\nflexible framework for approximating time-dependent outputs\nfrom computationally expensive dynamic systems. It is\nspecifically designed for nonlinear dynamic systems where full\nsimulations may be costly. The underlying Gaussian process\nmodel accounts for temporal dependency through the\none-step-ahead formulation, allowing for accurate emulation of\ncomplex dynamics. Hyperparameters are estimated via maximum\nlikelihood. For methodological details, see Heo (2025,\n<doi:10.48550/arXiv.2503.20250>) for exact method, and\nMohammadi, Challenor, and Goodfellow (2019,\n<doi:10.1016/j.csda.2019.05.006>) for Monte Carlo method.",
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  "Encoding": "UTF-8",
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  "Date/Publication": "2025-08-18 19:40:02 UTC",
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