-
1
-
-
84899474520
-
Ensemble transform kalman-bucy filters
-
Amezcua, J., Kalnay, E., Ide, K. & Reich, S. (2014), ‘Ensemble transform Kalman-Bucy filters’, Q.J.R. Meteor. Soc. 140, 995-1004.
-
(2014)
Q.J.R. Meteor. Soc
, vol.140
, pp. 995-1004
-
-
Amezcua, J.1
Kalnay, E.2
Ide, K.3
Reich, S.4
-
2
-
-
34247642674
-
An adaptive covariance inflation error correction algorithm for ensemble filters
-
Anderson, J. (2007), ‘An adaptive covariance inflation error correction algorithm for ensemble filters’, Tellus 59A, 210-224.
-
(2007)
Tellus
, vol.59A
, pp. 210-224
-
-
Anderson, J.1
-
3
-
-
78650184482
-
A non-gaussian ensemble filter update for data assimilation
-
Anderson, J. (2010), ‘A non-Gaussian ensemble filter update for data assimilation’, Mon. Wea. Rev. 138, 4186-4198.
-
(2010)
Mon. Wea. Rev
, vol.138
, pp. 4186-4198
-
-
Anderson, J.1
-
4
-
-
84864864640
-
Localization and sampling error correction in ensemble kalman filter data assimilation
-
Anderson, J. (2012), ‘Localization and sampling error correction in ensemble Kalman filter data assimilation’, Mon. Wea. Rev. 140, 2359-2371.
-
(2012)
Mon. Wea. Rev
, vol.140
, pp. 2359-2371
-
-
Anderson, J.1
-
5
-
-
60149103563
-
The pseudo-marginal approach for efficient montecarlo computations
-
Andrieu, C. & Roberts, G. (2009), ‘The pseudo-marginal approach for efficient MonteCarlo computations’, Ann. Statist. 37, 697-725.
-
(2009)
Ann. Statist
, vol.37
, pp. 697-725
-
-
Andrieu, C.1
Roberts, G.2
-
7
-
-
0036475447
-
A tutorial on particle filters for online nonlinear/non-gaussian bayesian tracking
-
Arulampalam, M., Maskell, S., Gordon, N. & Clapp, T. (2002), ‘A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking’, IEEE Trans. Sign. Process. 50, 174-188.
-
(2002)
IEEE Trans. Sign. Process
, vol.50
, pp. 174-188
-
-
Arulampalam, M.1
Maskell, S.2
Gordon, N.3
Clapp, T.4
-
9
-
-
75249093579
-
-
ofStochastic Modelling and Applied Probability, Springer-Verlag, New York
-
Bain, A. & Crisan, D. (2009), Fundamentals of Stochastic Filtering, Vol. 60 of Stochastic Modelling and Applied Probability, Springer-Verlag, New York.
-
(2009)
Fundamentals of Stochastic Filtering
, vol.60
-
-
Bain, A.1
Crisan, D.2
-
10
-
-
0043210659
-
Estimation of population growth or decline in genetically monitored populations
-
Beaumont, M. (2003), ‘Estimation of population growth or decline in genetically monitored populations’, Genetics 164, 1139-1160.
-
(2003)
Genetics
, vol.164
, pp. 1139-1160
-
-
Beaumont, M.1
-
11
-
-
0034407460
-
A computational fluid mechanics solution to the monge-kantorovitch mass transfer problem
-
Benamou, J. & Brenier, Y. (2000), ‘A computational fluid mechanics solution to the Monge-Kantorovitch mass transfer problem’, Numer. Math. 84, 375-393.
-
(2000)
Numer. Math
, vol.84
, pp. 375-393
-
-
Benamou, J.1
Brenier, Y.2
-
12
-
-
57949085983
-
Curse of dimensionality revisited: Collapse of the particle filter in very large scale systems
-
Bengtsson, T., Bickel, P. & Li, B. (2008), ‘Curse of dimensionality revisited: Collapse of the particle filter in very large scale systems’. In IMS Collections, Probability and Statistics: Essays in Honor of David F. Freedman,2, 316-334.
-
(2008)
IMS Collections, Probability and Statistics: Essays in Honor of David F. Freedman
, vol.2
, pp. 316-334
-
-
Bengtsson, T.1
Bickel, P.2
Li, B.3
-
13
-
-
77957105914
-
A mollified ensemble kalman filter
-
Bergemann, K. & Reich, S. (2010), ‘A mollified ensemble Kalman filter’, Q.J.R. Mete-orolog. Soc. 136, 1636-1643.
-
(2010)
Q.J.R. Mete-Orolog. Soc
, vol.136
, pp. 1636-1643
-
-
Bergemann, K.1
Reich, S.2
-
14
-
-
84874607919
-
An ensemble kalman-bucy filter for continuous data assimilation
-
Bergemann, K. & Reich, S. (2012), ‘An ensemble Kalman-Bucy filter for continuous data assimilation’, Meteorolog. Zeitschrift 21, 213-219.
-
(2012)
Meteorolog. Zeitschrift
, vol.21
, pp. 213-219
-
-
Bergemann, K.1
Reich, S.2
-
15
-
-
0000112970
-
Data assimilation using incremental analysis updates
-
Bloom, S., Takacs, L., Silva, A.D. & Ledvina, D. (1996), ‘Data assimilation using incremental analysis updates’, Q.J.R. Meteorolog. Soc. 124, 1256-1271.
-
(1996)
Q.J.R. Meteorolog. Soc
, vol.124
, pp. 1256-1271
-
-
Bloom, S.1
Takacs, L.2
Silva, A.D.3
Ledvina, D.4
-
16
-
-
84863313070
-
Combining inflation-free and iterative ensemble kalman filters for strongly nonlinear systems
-
Bocquet, M. & Sakov, P. (2012), ‘Combining inflation-free and iterative ensemble Kalman filters for strongly nonlinear systems’, Nonlin. Processes Geophys. 19, 383-399.
-
(2012)
Nonlin. Processes Geophys
, vol.19
, pp. 383-399
-
-
Bocquet, M.1
Sakov, P.2
-
17
-
-
77955429089
-
Beyond gaussian statistical modeling in geophysical data assimilaition
-
Bocquet, M., Pires, C. & Wu, L. (2010), ‘Beyond Gaussian statistical modeling in geophysical data assimilaition’, Mon. Wea. Rev. 138, 2997-3022.
-
(2010)
Mon. Wea. Rev
, vol.138
, pp. 2997-3022
-
-
Bocquet, M.1
Pires, C.2
Wu, L.3
-
19
-
-
84866159248
-
Evaluating raw ensembles with the continuous ranked probability score
-
Bröcker, J. (2012), ‘Evaluating raw ensembles with the continuous ranked probability score’, Q.J.R. Meteorolog. Soc. 138, 1611-1617.
-
(2012)
Q.J.R. Meteorolog. Soc
, vol.138
, pp. 1611-1617
-
-
Bröcker, J.1
-
21
-
-
85011514513
-
Monte carlo and quasi-monte carlo methods
-
Caflisch, R. (1998), ‘Monte Carlo and Quasi-Monte Carlo methods’, Acta Numerica 7, 1-49.
-
(1998)
Acta Numerica
, vol.7
, pp. 1-49
-
-
Caflisch, R.1
-
22
-
-
84880060911
-
Levenberg-marquardt forms of the iterative ensemble smoother for efficient history matching and uncertainty quantification
-
Chen, Y. & Oliver, D. (2013), ‘Levenberg-Marquardt forms of the iterative ensemble smoother for efficient history matching and uncertainty quantification’, Computational Geoscience 17, 689-703.
-
(2013)
Computational Geoscience
, vol.17
, pp. 689-703
-
-
Chen, Y.1
Oliver, D.2
-
23
-
-
84953422144
-
-
arXiv:1311.6300, Springer-Verlag, New York
-
Cheng, Y. & Reich, S. (2013), ‘A McKean optimal transportation perspective on Feynman-Kac formulae with application to data assimilation’., arXiv:1311.6300. To appear in Frontiers in Applied Dynamical Systems, Vol. 1, Springer-Verlag, New York.
-
(2013)
A Mckean Optimal Transportation Perspective on Feynman-Kac Formulae with Application to Data Assimilation
, vol.1
-
-
Cheng, Y.1
Reich, S.2
-
24
-
-
33846198105
-
-
2nd edn, Springer-Verlag, Berlin
-
Chorin, A. & Hald, O. (2009), Stochastic Tools in Mathematics and Science, 2nd edn, Springer-Verlag, Berlin.
-
(2009)
Stochastic Tools in Mathematics and Science
-
-
Chorin, A.1
Hald, O.2
-
25
-
-
85015037321
-
Implicit filters for data assimilation
-
Chorin, A., Morzfeld, M. & Tu, X. (2010), ‘Implicit filters for data assimilation’, Comm. Appl. Math. Comp. Sc. 5, 221-240.
-
(2010)
Comm. Appl. Math. Comp. Sc
, vol.5
, pp. 221-240
-
-
Chorin, A.1
Morzfeld, M.2
Tu, X.3
-
28
-
-
76849109369
-
Approximate mckean-vlasov representation for a class of spdes
-
Crisan, D. & Xiong, J. (2010), ‘Approximate McKean-Vlasov representation for a class of SPDEs’, Stochastics 82, 53-68.
-
(2010)
Stochastics
, vol.82
, pp. 53-68
-
-
Crisan, D.1
Xiong, J.2
-
29
-
-
85040897227
-
-
Cambridge University Press, Cambridge
-
Daley, R. (1993), Atmospheric Data Analysis, Cambridge University Press, Cambridge.
-
(1993)
Atmospheric Data Analysis
-
-
Daley, R.1
-
30
-
-
80051610231
-
Particle filter for nonlinear filters
-
IEEE, New York
-
Daum, F. & Huang, J. (2011), ‘Particle filter for nonlinear filters’. In Acoustics, Speech and Signal Processing (ICASSP), 2011 IEEE International Conference, IEEE, New York, 5920-5923.
-
(2011)
Acoustics, Speech and Signal Processing (ICASSP), 2011 IEEE International Conference
, pp. 5920-5923
-
-
Daum, F.1
Huang, J.2
-
32
-
-
0003665481
-
-
Springer-Verlag, Berlin
-
Doucet, A., de Freitas, N. & Gordon, N., editors (2001), Sequential Monte Carlo Methods in Practice, Springer-Verlag, Berlin.
-
(2001)
Sequential Monte Carlo Methods in Practice
-
-
Doucet, A.1
De Freitas, N.2
Gordon, N.3
-
33
-
-
84875881109
-
Ensemble smoother with multiple data assimilation
-
Emerik, A. & Reynolds, A. (2012), ‘Ensemble smoother with multiple data assimilation’, Computers & Geosciences 55, 3-15.
-
(2012)
Computers & Geosciences
, vol.55
, pp. 3-15
-
-
Emerik, A.1
Reynolds, A.2
-
34
-
-
0003531188
-
-
Kluwer Academic Publishers, Dordrecht
-
Engl, H., Hanke, M. & Neubauer, A. (2000), Regularization of Inverse Problems, Kluwer Academic Publishers, Dordrecht.
-
(2000)
Regularization of Inverse Problems
-
-
Engl, H.1
Hanke, M.2
Neubauer, A.3
-
35
-
-
0003448545
-
-
American Mathematical Society, Providence, RI
-
Evans, L. (1998), Partial Differential Equations, American Mathematical Society, Providence, RI.
-
(1998)
Partial Differential Equations
-
-
Evans, L.1
-
38
-
-
84869082502
-
Mixture ensemble kalman filters
-
Frei, M. & Kunsch, H. (2013), ‘Mixture ensemble Kalman filters’, Computational Statistics and, Data Analysis 58, 127-138.
-
(2013)
Computational Statistics And, Data Analysis
, vol.58
, pp. 127-138
-
-
Frei, M.1
Kunsch, H.2
-
40
-
-
33847399672
-
Probabilistic forecasts, calibration and sharpness
-
Gneiting, T., Balabdaoui, F. & Raftery, A. (2007), ‘Probabilistic forecasts, calibration and sharpness’, J. R. Statist. Soc. B 69, 243-268.
-
(2007)
J. R. Statist. Soc. B
, vol.69
, pp. 243-268
-
-
Gneiting, T.1
Balabdaoui, F.2
Raftery, A.3
-
41
-
-
0004236492
-
-
3rd edn, Johns Hopkins University Press, Baltimore, MD
-
Golub, G. & Loan, C.V. (1996), Matrix Computations, 3rd edn, Johns Hopkins University Press, Baltimore, MD.
-
(1996)
Matrix Computations
-
-
Golub, G.1
Loan, C.V.2
-
42
-
-
84870063507
-
Ensemble data assimilation for hyperbolic systems
-
Gonzalez-Tokman, C. & Hunt, B. (2013), ‘Ensemble data assimilation for hyperbolic systems’, Physica D 243, 128-142.
-
(2013)
Physica D
, vol.243
, pp. 128-142
-
-
Gonzalez-Tokman, C.1
Hunt, B.2
-
44
-
-
0003684449
-
-
2nd edn, Springer-Verlag, New York
-
Hastie, T., Tibshirani, R. & Friedman, J. (2009), The Elements of Statistical Learning, 2nd edn, Springer-Verlag, New York.
-
(2009)
The Elements of Statistical Learning
-
-
Hastie, T.1
Tibshirani, R.2
Friedman, J.3
-
45
-
-
0035439412
-
An algorithmic introduction to numerical simulation of stochastic differential equations
-
Higham, D. (2001), ‘An algorithmic introduction to numerical simulation of stochastic differential equations’, SIAM Review 43, 525-546.
-
(2001)
SIAM Review
, vol.43
, pp. 525-546
-
-
Higham, D.1
-
46
-
-
0000183857
-
The initialization of numerical models by a dynamic relaxation technique
-
Hoke, J. & Anthes, R. (1976), ‘The initialization of numerical models by a dynamic relaxation technique’, Mon. Wea. Rev. 104, 1551-1556.
-
(1976)
Mon. Wea. Rev
, vol.104
, pp. 1551-1556
-
-
Hoke, J.1
Anthes, R.2
-
48
-
-
34248675795
-
Efficient data assimilation for spatial-temporal chaos: A local ensemble transform kalman filter
-
Hunt, B., Kostelich, E. & Szunyogh, I. (2007), ‘Efficient data assimilation for spatial-temporal chaos: A local ensemble transform Kalman filter’, Physica D 230, 112-137.
-
(2007)
Physica D
, vol.230
, pp. 112-137
-
-
Hunt, B.1
Kostelich, E.2
Szunyogh, I.3
-
49
-
-
84893824164
-
Convervation of mass and preservation of positivity with ensemble-type kalman filter algorithms
-
Janjic, T., McLaughlin, D., Cohn, S. & Verlaan, M. (2014), ‘Convervation of mass and preservation of positivity with ensemble-type Kalman filter algorithms’, Mon. Wea. Rev. 142, 755-773.
-
(2014)
Mon. Wea. Rev
, vol.142
, pp. 755-773
-
-
Janjic, T.1
Mc Laughlin, D.2
Cohn, S.3
Verlaan, M.4
-
55
-
-
0029413779
-
Quasi-linear geostatistical theory for inverting
-
Kitanidis, P. (1995), ‘Quasi-linear geostatistical theory for inverting’, Water Resources Research 31, 2411-2419.
-
(1995)
Water Resources Research
, vol.31
, pp. 2411-2419
-
-
Kitanidis, P.1
-
57
-
-
30344486983
-
Recursive monte carlo filter: Algorithms and theoretical analysis
-
Künsch, H. (2005), ‘Recursive Monte Carlo filter: Algorithms and theoretical analysis’, Ann. Statist. 33, 1983-2021.
-
(2005)
Ann. Statist
, vol.33
, pp. 1983-2021
-
-
Künsch, H.1
-
58
-
-
0004116528
-
-
2nd edn, Springer-Verlag, New York
-
Lasota, A. & Mackey, M. (1994), Chaos, Fractals, and Noise, 2nd edn, Springer-Verlag, New York.
-
(1994)
Chaos, Fractals, and Noise
-
-
Lasota, A.1
Mackey, M.2
-
59
-
-
84886404242
-
Analysis of the 3dvar filter for the partially observed lorenz63 model
-
Law, K., Shukia, A. & Stuart, A. (2014), ‘Analysis of the 3DVAR filter for the partially observed Lorenz’63 model’, Discrete and Continuous Dynamical Systems A 34, 1061-1078.
-
(2014)
Discrete and Continuous Dynamical Systems A
, vol.34
, pp. 1061-1078
-
-
Law, K.1
Shukia, A.2
Stuart, A.3
-
60
-
-
84855791991
-
A moment matching ensemble filter for nonlinear and non-gaussian data assimilation
-
Lei, J. & Bickel, P. (2011), ‘A moment matching ensemble filter for nonlinear and non-Gaussian data assimilation’, Mon. Wea. Rev. 139, 3964-3973.
-
(2011)
Mon. Wea. Rev
, vol.139
, pp. 3964-3973
-
-
Lei, J.1
Bickel, P.2
-
61
-
-
21944431591
-
-
Cambridge University Press, Cambridge
-
Lewis, J., Lakshmivarahan, S. & Dhall, S. (2006), Dynamic Data Assimilation: A Least Squares Approach, Cambridge University Press, Cambridge.
-
(2006)
Dynamic Data Assimilation: A Least Squares Approach
-
-
Lewis, J.1
Lakshmivarahan, S.2
Dhall, S.3
-
63
-
-
43049140484
-
Unbiased ensemble square root filters
-
Livings, D., Dance, S. & Nichols, N. (2008), ‘Unbiased ensemble square root filters’, Physica D 237, 1021-1028.
-
(2008)
Physica D
, vol.237
, pp. 1021-1028
-
-
Livings, D.1
Dance, S.2
Nichols, N.3
-
64
-
-
0000241853
-
Deterministic non-periodic flows
-
Lorenz, E. (1963), ‘Deterministic non-periodic flows’, J. Atmos. Sci. 20, 130-141.
-
(1963)
J. Atmos. Sci
, vol.20
, pp. 130-141
-
-
Lorenz, E.1
-
66
-
-
84974004014
-
Existence and uniqueness of monotone measure-preserving maps
-
McCann, R. (1995), ‘Existence and uniqueness of monotone measure-preserving maps’, Duke Math. J. 80, 309-323.
-
(1995)
Duke Math. J
, vol.80
, pp. 309-323
-
-
Mc Cann, R.1
-
67
-
-
0010914615
-
A class of markov processes associated with nonlinear parabolic equations
-
McKean, H. (1966), ‘A class of Markov processes associated with nonlinear parabolic equations’, Proc. Natl. Acad. Sci. USA 56, 1907-1911.
-
(1966)
Proc. Natl. Acad. Sci. USA
, vol.56
, pp. 1907-1911
-
-
Mc Kean, H.1
-
69
-
-
79954615574
-
The gaussian approach to adaptive covariance inflation and its implementation with the local ensemble transform kalman filter
-
Miyoshi, T. (2011), ‘The Gaussian approach to adaptive covariance inflation and its implementation with the local ensemble transform Kalman filter’, Mon. Wea. Rev. 139, 1519-1535.
-
(2011)
Mon. Wea. Rev
, vol.139
, pp. 1519-1535
-
-
Miyoshi, T.1
-
70
-
-
84873147023
-
Implicit particle filtering for models with partial noise and an application to geomagnetic data assimilation
-
Morzfeld, M. & Chorin, A. (2012), ‘Implicit particle filtering for models with partial noise and an application to geomagnetic data assimilation’, Nonlinear Processes in Geophysics 19, 365-382.
-
(2012)
Nonlinear Processes in Geophysics
, vol.19
, pp. 365-382
-
-
Morzfeld, M.1
Chorin, A.2
-
71
-
-
84855206730
-
A random map implementation of implicit filters
-
Morzfeld, M., Tu, X., Atkins, E. & Chorin, A. (2012), ‘A random map implementation of implicit filters’, J. Comput. Phys. 231, 2049-2066.
-
(2012)
J. Comput. Phys
, vol.231
, pp. 2049-2066
-
-
Morzfeld, M.1
Tu, X.2
Atkins, E.3
Chorin, A.4
-
72
-
-
84866043299
-
Bayesian inference with optimal maps
-
Moselhy, T.E. & Marzouk, Y. (2012), ‘Bayesian inference with optimal maps’, J. Comput. Phys. 231, 7815-7850.
-
(2012)
J. Comput. Phys
, vol.231
, pp. 7815-7850
-
-
Moselhy, T.E.1
Marzouk, Y.2
-
73
-
-
84968494100
-
On the volume elements on a manifold
-
Moser, J. (1965), ‘On the volume elements on a manifold’, Trans. Amer. Math. Soc. 120, 286-294.
-
(1965)
Trans. Amer. Math. Soc
, vol.120
, pp. 286-294
-
-
Moser, J.1
-
75
-
-
84859755844
-
A regulated localization scheme for ensemble-based kalman filters
-
Nerger, L., Pfander, T.J., Schroter, J. & Hiller, W. (2012), ‘A regulated localization scheme for ensemble-based Kalman filters’, Q.J.R. Meteorolog. Soc. 138, 802-812.
-
(2012)
Q.J.R. Meteorolog. Soc
, vol.138
, pp. 802-812
-
-
Nerger, L.1
Pfander, T.J.2
Schroter, J.3
Hiller, W.4
-
76
-
-
0003982971
-
-
2nd edn, Springer-Verlag, New York
-
Nocedal, J. & Wright, S. (2006), Numerical Optimization, 2nd edn, Springer-Verlag, New York.
-
(2006)
Numerical Optimization
-
-
Nocedal, J.1
Wright, S.2
-
78
-
-
0000300701
-
On conditional simulation to inaccurate data
-
Oliver, D. (1996), ‘On conditional simulation to inaccurate data’, Math. Geology 28, 811-817.
-
(1996)
Math. Geology
, vol.28
, pp. 811-817
-
-
Oliver, D.1
-
79
-
-
85032603809
-
Conditioning permeability fields on pressure data
-
presented at the 5th European Conference on the Mathematics of Oil Recovery, Leoben, Austria
-
Oliver, D., He, N. & Reynolds, A. (1996), ‘Conditioning permeability fields on pressure data. Technical Report: presented at the 5th European Conference on the Mathematics of Oil Recovery, Leoben, Austria.
-
(1996)
Technical Report
-
-
Oliver, D.1
He, N.2
Reynolds, A.3
-
80
-
-
0000126436
-
The distance between two random vectors with given dispersion matrices
-
Olkin, I. & Pukelsheim, F. (1982), ‘The distance between two random vectors with given dispersion matrices’, Lin. Alg. and its Applns. 48, 257-263.
-
(1982)
Lin. Alg. And Its Applns
, vol.48
, pp. 257-263
-
-
Olkin, I.1
Pukelsheim, F.2
-
81
-
-
8844258829
-
A local ensemble kalman filter for atmospheric data assimilation
-
Ott, E., Hunt, B., Szunyogh, I., Zimin, A., Kostelich, E., Corazza, M., Kalnay, E., Patil, D. & Yorke, J.A. (2004), ‘A local ensemble Kalman filter for atmospheric data assimilation’, Tellus A 56, 415-428.
-
(2004)
Tellus
, vol.A 56
, pp. 415-428
-
-
Ott, E.1
Hunt, B.2
Szunyogh, I.3
Zimin, A.4
Kostelich, E.5
Corazza, M.6
Kalnay, E.7
Patil, D.8
Yorke, J.A.9
-
82
-
-
0001560970
-
The geometry of dissipative evolution equations: The porous medium equation
-
Otto, F. (2001), ‘The geometry of dissipative evolution equations: the porous medium equation’, Comm. Part. Diff. Eqs. 26, 101-174.
-
(2001)
Comm. Part. Diff. Eqs
, vol.26
, pp. 101-174
-
-
Otto, F.1
-
85
-
-
0001201909
-
Bayesian model selection in social research
-
Raftery, A. (1995), ‘Bayesian model selection in social research’, Sociological Methodology 25, 111-163.
-
(1995)
Sociological Methodology
, vol.25
, pp. 111-163
-
-
Raftery, A.1
-
87
-
-
79953028094
-
A dynamical systems framework for intermittent data assimilation
-
Reich, S. (2011), ‘A dynamical systems framework for intermittent data assimilation’, BIT Numer Math 51, 235-249.
-
(2011)
BIT Numer Math
, vol.51
, pp. 235-249
-
-
Reich, S.1
-
88
-
-
84860414915
-
A gaussian mixture ensemble transform filter
-
Reich, S. (2012), ‘A Gaussian mixture ensemble transform filter’, Q.J.R. Meteorolog. Soc. 138, 222-233.
-
(2012)
Q.J.R. Meteorolog. Soc
, vol.138
, pp. 222-233
-
-
Reich, S.1
-
89
-
-
84893567500
-
A guided sequential monte carlo method for the assimilation of data into stochastic dynamical systems
-
Proceedings in Mathematics and Statistics, Springer-Verlag, Basel
-
Reich, S. (2013a), ‘A guided sequential Monte Carlo method for the assimilation of data into stochastic dynamical systems’. In Recent Trends in Dynamical Systems, Proceedings in Mathematics and Statistics, 35, Springer-Verlag, Basel, pp. 205-220.
-
(2013)
Recent Trends in Dynamical Systems
, vol.35
, pp. 205-220
-
-
Reich, S.1
-
90
-
-
84886860357
-
A nonparametric ensemble transform method for bayesian inference
-
Reich, S. (2013b), ‘A nonparametric ensemble transform method for Bayesian inference’, SIAM J. Sci. Comput. 35, A2013-A2024.
-
(2013)
SIAM J. Sci. Comput
, vol.35
-
-
Reich, S.1
-
91
-
-
84886869340
-
Ensemble filter techniques for intermittent data assimilation
-
M. Cullen, M.A. Freitag, S. Kindermann & R. Scheichl, eds, Radon Ser. Comput. Appl. Math.,13, de Gruyter, Berlin
-
Reich, S. & Cotter, C. (2013), ‘Ensemble filter techniques for intermittent data assimilation’. In Large Scale Inverse Problems. Computational Methods and Applications in the Earth Sciences, M. Cullen, M.A. Freitag, S. Kindermann & R. Scheichl, eds, Radon Ser. Comput. Appl. Math., 13, de Gruyter, Berlin, pp. 91-134.
-
(2013)
Large Scale Inverse Problems. Computational Methods and Applications in the Earth Sciences
, pp. 91-134
-
-
Reich, S.1
Cotter, C.2
-
93
-
-
0003919677
-
-
2nd edn, SpringerVerlag, New York
-
Robert, C. & Casella, G. (2004), Monte Carlo Statistical Methods, 2nd edn, SpringerVerlag, New York.
-
(2004)
Monte Carlo Statistical Methods
-
-
Robert, C.1
Casella, G.2
-
95
-
-
84863331593
-
An iterative enkf for strongly nonlinear systems
-
Sakov, P., Oliver, D. & Bertino, L. (2012), ‘An iterative EnKF for strongly nonlinear systems’, Mon. Wea. Rev. 140, 1988-2004.
-
(2012)
Mon. Wea. Rev
, vol.140
, pp. 1988-2004
-
-
Sakov, P.1
Oliver, D.2
Bertino, L.3
-
98
-
-
34548725568
-
Cluster ensemble kalman filter
-
Smith, K. (2007a), ‘Cluster ensemble Kalman filter’, Tellus 59A, 749-757.
-
(2007)
Tellus
, vol.59A
, pp. 749-757
-
-
Smith, K.1
-
101
-
-
79952447568
-
Bridging the ensemble kalman filter and particle filters: The adaptive gaussian mixture filter
-
Stordal, A., Karlsen, H., Nrnvdal, G., Skaug, H. & Valles, B. (2011), ‘Bridging the ensemble Kalman filter and particle filters: the adaptive Gaussian mixture filter’, Comput. Geosci. 15, 293-305.
-
(2011)
Comput. Geosci
, vol.15
, pp. 293-305
-
-
Stordal, A.1
Karlsen, H.2
Nrnvdal, G.3
Skaug, H.4
Valles, B.5
-
102
-
-
0003805079
-
-
2nd edn, Wellesley-Cambridge Press, Wellesley, MA
-
Strang, G. (1986), Introduction to Applied Mathematics, 2nd edn, Wellesley-Cambridge Press, Wellesley, MA.
-
(1986)
Introduction to Applied Mathematics
-
-
Strang, G.1
-
103
-
-
77951793592
-
Inverse problems: A bayesian perspective
-
Stuart, A. (2010), ‘Inverse problems: a Bayesian perspective’, Acta Numerica 17, 451-559.
-
(2010)
Acta Numerica
, vol.17
, pp. 451-559
-
-
Stuart, A.1
-
105
-
-
0000779360
-
Detecting strange attractors in turbulence
-
Lecture Notes in Mathematics,898, Springer-Verlag, Berlin
-
Takens, F. (1981), ‘Detecting strange attractors in turbulence’. In Dynamical Systems and Turbulence. Lecture Notes in Mathematics, 898, Springer-Verlag, Berlin, pp. 366-381.
-
(1981)
Dynamical Systems and Turbulence
, pp. 366-381
-
-
Takens, F.1
-
107
-
-
56149102927
-
-
3rd edn, Cambridge University Press, Cambridge
-
Tijms, H. (2012), Understanding Probability, 3rd edn, Cambridge University Press, Cambridge.
-
(2012)
Understanding Probability
-
-
Tijms, H.1
-
108
-
-
0037690374
-
Ensemble square root filters
-
Tippett, M., Anderson, J., Bishop, G., Hamill, T. & Whitaker, J. (2003), ‘Ensemble square root filters’, Mon. Wea. Rev. 131, 1485-1490.
-
(2003)
Mon. Wea. Rev
, vol.131
, pp. 1485-1490
-
-
Tippett, M.1
Erson, J.2
Bishop, G.3
Hamill, T.4
Whitaker, J.5
-
109
-
-
78650057011
-
Nonlinear data assimilation in the geosciences: An extremely efficient particle filter
-
van Leeuwen, P. (2010), ‘Nonlinear data assimilation in the geosciences: an extremely efficient particle filter’, Q.J.R. Meteorolog. Soc. 136, 1991-1996.
-
(2010)
Q.J.R. Meteorolog. Soc
, vol.136
, pp. 1991-1996
-
-
Van Leeuwen, P.1
-
110
-
-
84876142853
-
Efficient fully nonlinear data assimilation for geophysical fluid dynamics
-
van Leeuwen, P. & Ades, M. (2013), ‘Efficient fully nonlinear data assimilation for geophysical fluid dynamics’, Computers & Geosciences 55, 16-27.
-
(2013)
Computers & Geosciences
, vol.55
, pp. 16-27
-
-
Van Leeuwen, P.1
Ades, M.2
-
114
-
-
3943069649
-
Which is better, an ensemble of positivenegative pairs or a centered spherical simplex ensemble?
-
Wang, X., Bishop, C. & Julier, S. (2004), ‘Which is better, an ensemble of positivenegative pairs or a centered spherical simplex ensemble?’, Mon. Wea. Rev. 132, 1590-1505.
-
(2004)
Mon. Wea. Rev
, vol.132
, pp. 1505-1590
-
-
Wang, X.1
Bishop, C.2
Julier, S.3
-
115
-
-
84884789621
-
Feedback particle filter
-
Yang, T., Mehta, P. & Meyn, S. (2013), ‘Feedback particle filter’, IEEE Trans. Automatic Control 58, 2465-2480.
-
(2013)
IEEE Trans. Automatic Control
, vol.58
, pp. 2465-2480
-
-
Yang, T.1
Mehta, P.2
Meyn, S.3
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