Bayesian statistical data assimilation for ecosystem models using Markov Chain Monte Carlo
暂无分享,去创建一个
[1] Geir Evensen,et al. The Ensemble Kalman Filter: theoretical formulation and practical implementation , 2003 .
[2] G. Kitagawa. Non-Gaussian State—Space Modeling of Nonstationary Time Series , 1987 .
[3] Michael Dowd,et al. A Bayesian approach to the ecosystem inverse problem , 2003 .
[4] L. Tierney. Markov Chains for Exploring Posterior Distributions , 1994 .
[5] G. Kitagawa. Theory and Methods , 1998 .
[6] Jacques Verron,et al. A singular evolutive extended Kalman filter for data assimilation in oceanography , 1998 .
[7] N. Gordon,et al. Novel approach to nonlinear/non-Gaussian Bayesian state estimation , 1993 .
[8] Walter R. Gilks,et al. BUGS - Bayesian inference Using Gibbs Sampling Version 0.50 , 1995 .
[9] A. Jazwinski. Stochastic Processes and Filtering Theory , 1970 .
[10] G. Kitagawa. A self-organizing state-space model , 1998 .
[11] Michael Dowd,et al. A bio-physical coastal ecosystem model for assessing environmental effects of marine bivalve aquaculture , 2005 .
[12] W. Gilks. Markov Chain Monte Carlo , 2005 .
[13] P. De Mey,et al. The Mediterranean ocean forecasting system: first phase of implementation (1998–2001) , 2003 .
[14] Neil J. Gordon,et al. A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking , 2002, IEEE Trans. Signal Process..
[15] Scott C. Doney,et al. Quantifying the effects of dynamical noise on the predictability of a simple ecosystem model , 2004 .
[16] G. Evensen,et al. An Ensemble Kalman Filter with a complex marine ecosystem model: hindcasting phytoplankton in the Cretan Sea , 2003 .
[17] Robert N. Miller,et al. Data assimilation into nonlinear stochastic models , 1999 .
[18] J. P.,et al. A Variance-Minimizing Filter for Large-Scale Applications , 2009 .
[19] Timothy J. Robinson,et al. Sequential Monte Carlo Methods in Practice , 2003 .
[20] Eileen E. Hofmann,et al. A data assimilation technique applied to a predator-prey model , 1995 .
[21] Andrew M. Edwards,et al. Adding Detritus to a Nutrient–Phytoplankton–Zooplankton Model:A Dynamical-Systems Approach , 2001 .
[22] Pierre Brasseur,et al. A demonstration of ensemble-based assimilation methods with a layered OGCM from the perspective of operational ocean forecasting systems , 2003 .
[23] David B. Dunson,et al. Bayesian Data Analysis , 2010 .
[24] Tommy D. Dickey,et al. Emerging ocean observations for interdisciplinary data assimilation systems , 2003 .
[25] J. Vallino. Improving marine ecosystem models: Use of data assimilation and mesocosm experiments , 2000 .
[26] Matthew Dunn. Introduction to the modelling of marine ecosystems, W. Fennel, T. Neumann, in: Elsevier Oceanography Series, vol. 72. (2004), (paperback), GBP 48, US $ 81.95, Eur 69, 297 pp., ISBN: 0-444-51704-9 , 2006 .
[27] H. Kantz,et al. Nonlinear time series analysis , 1997 .
[28] G. Kitagawa. Monte Carlo Filter and Smoother for Non-Gaussian Nonlinear State Space Models , 1996 .
[29] M. Nakamura,et al. Nonlinear filters using a statistical processing technique , 1973 .
[30] S. Chib,et al. Understanding the Metropolis-Hastings Algorithm , 1995 .
[31] G. Evensen,et al. Data assimilation and inverse methods in terms of a probabilistic formulation , 1996 .
[32] G. Evensen,et al. Sequential Data Assimilation Techniques in Oceanography , 2003 .
[33] Dominic S. Lee,et al. A particle algorithm for sequential Bayesian parameter estimation and model selection , 2002, IEEE Trans. Signal Process..
[34] A. M. Edwards,et al. The high-nutrient, low-chlorophyll regime of the ocean: limits on biomass and nitrate before and after iron enrichment , 2004 .
[35] R. A. Leibler,et al. On Information and Sufficiency , 1951 .
[36] Jens Schröter,et al. Sequential weak constraint parameter estimation in an ecosystem model , 2003 .
[37] S. Bricker,et al. An integrated methodology for assessment of estuarine trophic status , 2003 .
[38] Joseph Goedert. Following a moving target. , 2008, Health data management.
[39] Geir Evensen,et al. An Ensemble Kalman filter with a 1-D marine ecosystem model , 2002 .
[40] M. Dowd. A sequential Monte Carlo approach for marine ecological prediction , 2006 .
[41] Branko Ristic,et al. Beyond the Kalman Filter: Particle Filters for Tracking Applications , 2004 .
[42] Franz J. Weissing,et al. BIOLOGICAL CONDITIONS FOR OSCILLATIONS AND CHAOS GENERATED BY MULTISPECIES COMPETITION , 2001 .
[43] Peter G. Challenor,et al. A Markov chain Monte Carlo method for estimation and assimilation into models , 1997 .
[44] C. D. Kemp,et al. Density Estimation for Statistics and Data Analysis , 1987 .
[45] L. Tierney. Rejoinder: Markov Chains for Exploring Posterior Distributions , 1994 .
[46] N. Metropolis,et al. Equation of State Calculations by Fast Computing Machines , 1953, Resonance.
[47] G. Evans,et al. Defining misfit between biogeochemical models and data sets , 2003 .
[48] Paul Krause,et al. Dimensional reduction for a Bayesian filter. , 2004, Proceedings of the National Academy of Sciences of the United States of America.
[49] G. Evensen. Sequential data assimilation with a nonlinear quasi‐geostrophic model using Monte Carlo methods to forecast error statistics , 1994 .
[50] W. Gilks,et al. Following a moving target—Monte Carlo inference for dynamic Bayesian models , 2001 .
[51] W. K. Hastings,et al. Monte Carlo Sampling Methods Using Markov Chains and Their Applications , 1970 .
[52] G Marion,et al. Stochastic modelling of environmental variation for biological populations. , 2000, Theoretical population biology.
[53] Catherine A. Brown,et al. Retrieval of phytoplankton biomass from simultaneous inversion of reflectance, the diffuse attenuation coefficient, and Sun‐induced fluorescence in coastal waters , 2007 .
[54] Andreas Oschlies,et al. Basin-scale performance of a locally optimized marine ecosystem model , 2005 .
[55] G. Evensen,et al. Assimilation of ocean colour data into a biochemical model of the North Atlantic: Part 1. Data assimilation experiments , 2003 .