Shiwei Lan, Ph.D.
Affiliations: | 2013 | Statistics - Ph.D. | University of California, Irvine, Irvine, CA |
Area:
Statistics, MathematicsGoogle:
"Shiwei Lan"Parents
Sign in to add mentor| Babak Shahbaba | grad student | 2013 | UC Irvine | |
| (Advanced Bayesian Computational Methods through Geometric Techniques.) | ||||
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Publications
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| Lan S, Holbrook A, Elias GA, et al. (2020) Flexible Bayesian Dynamic Modeling of Correlation and Covariance Matrices. Bayesian Analysis. 15: 1199-1228 |
| Lan S, Holbrook A, Elias GA, et al. (2020) Flexible Bayesian Dynamic Modeling of Correlation and Covariance Matrices Bayesian Analysis. 15: 1199-1228 |
| Cleary E, Garbuno-Inigo A, Lan S, et al. (2020) Calibrate, Emulate, Sample Journal of Computational Physics. 109716 |
| Lan S. (2019) Adaptive dimension reduction to accelerate infinite-dimensional geometric Markov Chain Monte Carlo Journal of Computational Physics. 392: 71-95 |
| Holbrook A, Lan S, Vandenberg-Rodes A, et al. (2018) Geodesic Lagrangian Monte Carlo over the space of positive definite matrices: with application to Bayesian spectral density estimation. Journal of Statistical Computation and Simulation. 88: 982-1002 |
| Beskos A, Girolami MA, Lan S, et al. (2017) Geometric MCMC for Infinite-Dimensional Inverse Problems Journal of Computational Physics. 335: 327-351 |
| Schneider T, Lan S, Stuart A, et al. (2017) Earth System Modeling 2.0: A Blueprint for Models That Learn From Observations and Targeted High-Resolution Simulations Geophysical Research Letters. 44: 12,396-12,417 |
| Karcher MD, Palacios JA, Lan S, et al. (2016) phylodyn: an R package for phylodynamic simulation and inference. Molecular Ecology Resources |
| House T, Ford A, Lan S, et al. (2016) Bayesian uncertainty quantification for transmissibility of influenza, norovirus and Ebola using information geometry. Journal of the Royal Society, Interface / the Royal Society. 13 |
| Lan S, Bui-Thanh T, Christie M, et al. (2016) Emulation of higher-order tensors in manifold Monte Carlo methods for Bayesian Inverse Problems Journal of Computational Physics. 308: 81-101 |