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1A smoothing algorithm for estimating stochastic, continuous time model parameters and its application to a simple climate model
L. Tomassini, P. Reichert, H. Künsch, C. Buser, R. Knutti, and M. Borsuk. Journal of the Royal Statistical Society: Series C (Applied Statistics), 58 (5): 679-704 (2009)
15 years ago by @jgomezdans
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assimilation
bayes
bayesian
datassimilation
inference
inversions
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model
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Bayesassimilationbayesbayesiandatassimilationinferenceinversionsmcmcmodelmodelingmodelsregularizationstatisticsuncertainty
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2Some Aspects of Measurement Error in Linear Regression of Astronomical Data
B. Kelly. (2007)cite arxiv:0705.2774 Comment: 39 pages, 11 figures, 1 table, accepted by ApJ. IDL routines (linmix_err.pro) for performing the Markov Chain Monte Carlo are available at the IDL astronomy user's library, http://idlastro.gsfc.nasa.gov/homepage.html.
15 years ago by @jgomezdans
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2A Bayesian Approach to Crop Model Calibration Under Unknown Error Covariance
C. Hue, M. Tremblay, and D. Wallach. Journal of Agricultural, Biological, and Environmental Statistics, 13 (3): 355-365 (2008)
15 years ago by @jgomezdans
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BayesCropagronomicassimilationbayesbayesianinferenceinversionsmcmcmetropolishastingsmodelmodelingmodelsstatisticsuncertainty
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1Statistical image reconstruction from correlated data with applications to PET
A. Alessio, K. Sauer, and P. Kinahan. Phys Med Biol, 52 (20): 6133-6150 (October 2007)
15 years ago by @jgomezdans
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Bayesassimilationbayesbayesianimageprocessinginferenceinversionsmarkovrandomfieldsmodelstatisticsuncertainty
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1Bayesian calibration of process-based forest models: bridging the gap between models and data
M. Oijen, J. Rougier, and R. Smith. Tree Physiol, 25 (7): 915-927 (2005)
15 years ago by @jgomezdans
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Bayesassimilationbayesbayesiandgvmecologyinferenceinversionsmcmcmetropolishastingsmodelmodelsstatisticsuncertainty
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2Hyperparameter estimation for satellite image restoration using a MCMC maximum-likelihood method
A. Jalobeanu, L. Blanc-Féraud, and J. Zerubia. Pattern Recognition, 35 (2): 341--352 (2002)
15 years ago by @jgomezdans
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bayesian
imageprocessing
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1Non-linear Sparse and Blocky Constraints for Seismic Inverse Problems
C. Youzwishen. Signal Analysis and Imaging Group, Department of Physics, University of Alberta, (2001)
16 years ago by @jgomezdans
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1Monte Carlo Smoothing for Nonlinear Time Series
S. Godsill, A. Doucet, and M. West. Journal of the American Statistical Association, (March 2004)
16 years ago by @jgomezdans
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1Ridge Regression in Practice
D. Marquardt, and R. Snee. The American Statistician, 29 (1): 3--20 (1975)
16 years ago by @jgomezdans
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inference
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importedinferenceinversionsmodelingreflectancestatistics
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1A smoothing algorithm for estimating stochastic, continuous time model parameters and its application to a simple climate model

2Some Aspects of Measurement Error in Linear Regression of Astronomical Data

2A Bayesian Approach to Crop Model Calibration Under Unknown Error Covariance

1Statistical image reconstruction from correlated data with applications to PET

1Bayesian calibration of process-based forest models: bridging the gap between models and data

2Hyperparameter estimation for satellite image restoration using a MCMC maximum-likelihood method

1Non-linear Sparse and Blocky Constraints for Seismic Inverse Problems

1Monte Carlo Smoothing for Nonlinear Time Series

1Ridge Regression in Practice

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