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leapgp - Localized Ensemble of Approximate Gaussian Processes

An emulator designed for rapid sequential emulation (e.g., Markov chain Monte Carlo applications). Works via extension of the 'laGP' approach by Gramacy and Apley (2015 <doi:10.1080/10618600.2014.914442>). Details are given in Rumsey et al. (2023 <doi:10.1002/sta4.576>).

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1.70 score 9 scripts 163 downloads

GBASS - Generalized Bayesian Adaptive Smoothing Splines

Bayesian nonlinear regression under a range of likelihood models using generalized Bayesian adaptive smoothing splines. Robust regression with Student's t likelihoods, quantile regression, and related latent-scale models are included as special cases.

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1.08 score 12 scripts 476 downloads

conforest - Conformal Random Forests for Response Surface Emulation

Fits emulators, also known as surrogates or response surfaces, using conformal inference with random forests. The conformal calibration is performed using out-of-bag samples from the forest, eliminating the need for a separate hold-out set. The method is based on Johansson et al. (2014 <doi:10.1007/s10994-014-5453-0>).

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1.00 score 5 scripts

conforest - Conformal Random Forests for Response Surface Emulation

Fits emulators, also known as surrogates or response surfaces, using conformal inference with random forests. The conformal calibration is performed using out-of-bag samples from the forest, eliminating the need for a separate hold-out set. The method is based on Johansson et al. (2014 <doi:10.1007/s10994-014-5453-0>).

Last updated

1.00 score 5 scripts

khaos - Bayesian Sparse Polynomial Chaos Expansion

Implements Bayesian polynomial chaos expansion methods for surrogate modeling, uncertainty quantification, and sensitivity analysis. Includes sparse regression-based approaches and adaptive Bayesian models based on reversible-jump Markov chain Monte Carlo. Optional screening and basis-enrichment strategies are provided to improve scalability in moderate to high dimensions.

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1.00 score 10 scripts 459 downloads