Bayesian pollution source identification via an inverse physics model
暂无分享,去创建一个
Youngdeok Hwang | Won Chang | Kyongmin Yeo | Yongku Kim | Hang J. Kim | Hang J. Kim | Yongku Kim | Y. Hwang | K. Yeo | Won Chang
[1] Nigel Hinds,et al. PAIRS: A scalable geo-spatial data analytics platform , 2015, IEEE BigData.
[2] Peter Guttorp,et al. Multivariate Receptor Modeling for Temporally Correlated Data by Using MCMC , 2001 .
[3] G. Casella,et al. Penalized regression, standard errors, and Bayesian lassos , 2010 .
[4] J. Strikwerda. Finite Difference Schemes and Partial Differential Equations , 1989 .
[5] D. Byun,et al. Review of the Governing Equations, Computational Algorithms, and Other Components of the Models-3 Community Multiscale Air Quality (CMAQ) Modeling System , 2006 .
[6] Chia-Jung Chang,et al. Model Calibration Through Minimal Adjustments , 2014, Technometrics.
[7] A. O'Hagan,et al. Bayesian calibration of computer models , 2001 .
[8] Jenný Brynjarsdóttir,et al. Learning about physical parameters: the importance of model discrepancy , 2014 .
[9] A. Cimorelli,et al. AERMOD: A Dispersion Model for Industrial Source Applications. Part I: General Model Formulation and Boundary Layer Characterization. , 2005 .
[10] Anne H. Schistad Solberg,et al. Remote Sensing of Ocean Oil-Spill Pollution , 2012, Proceedings of the IEEE.
[11] G. Casella,et al. The Bayesian Lasso , 2008 .
[12] R. Tibshirani,et al. The solution path of the generalized lasso , 2010, 1005.1971.
[13] Murali Haran,et al. A composite likelihood approach to computer model calibration using high-dimensional spatial data , 2013, 1308.0049.
[14] A. E. Hoerl,et al. Ridge regression: biased estimation for nonorthogonal problems , 2000 .
[15] Daniel Cariolle,et al. Coupled Atmosphere‐Wildland Fire Modelling , 2009 .
[16] Youngdeok Hwang,et al. Statistical-Physical Estimation of Pollution Emission , 2018 .
[17] P. Moin. Fundamentals of Engineering Numerical Analysis , 2001 .
[18] Soo Chin Liew,et al. Observing and understanding the Southeast Asian aerosol system by remote sensing: An initial review and analysis for the Seven Southeast Asian Studies (7SEAS) program , 2013 .
[19] R. Tibshirani,et al. Sparsity and smoothness via the fused lasso , 2005 .
[20] M. Leach,et al. A Validation of FEM3MP with Joint Urban 2003 Data , 2006 .
[21] William F. Christensen,et al. Pollution source direction identification: embedding dispersion models to solve an inverse problem , 2011 .
[22] D. Higdon,et al. Computer Model Calibration Using High-Dimensional Output , 2008 .
[23] R. Gunst,et al. Measurement error models in chemical mass balance analysis of air quality data , 2004 .
[24] Y. Marzouk,et al. Large-Scale Inverse Problems and Quantification of Uncertainty , 1994 .
[25] G. Grell,et al. Evolution of ozone, particulates, and aerosol direct radiative forcing in the vicinity of Houston using a fully coupled meteorology‐chemistry‐aerosol model , 2006 .
[26] D. Brook. On the distinction between the conditional probability and the joint probability approaches in the specification of nearest-neighbour systems , 1964 .
[27] R. Tibshirani. Regression Shrinkage and Selection via the Lasso , 1996 .