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1
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34248655432
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Sampling the posterior: An approach to non-Gaussian data assimilation
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Apte, A., Hairer, M., Stuart, A., Voss, J.: Sampling the posterior: An approach to non-Gaussian data assimilation. Physica D 230, 50-64 (2007).
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(2007)
Physica D
, vol.230
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Apte, A.1
Hairer, M.2
Stuart, A.3
Voss, J.4
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2
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42649097792
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Weak convergence of Metropolis algorithms for non-IID target distributions
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Bédard, M.:Weak convergence of Metropolis algorithms for non-IID target distributions. Ann. Appl. Probab. 17, 1222-1244 (2007).
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(2007)
Ann. Appl. Probab
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Bédard, M.1
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3
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69149086344
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Optimal scalings for local Metropolis-Hastings chains on non-product targets in high dimensions
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Beskos, A., Roberts, G., Stuart, A.: Optimal scalings for local Metropolis-Hastings chains on non-product targets in high dimensions. Ann. Appl. Prob. (2009).
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(2009)
Ann. Appl. Prob
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Beskos, A.1
Roberts, G.2
Stuart, A.3
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4
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56549084523
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MCMC methods for diffusion bridges
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Beskos, A., Roberts, G., Stuart, A., Voss, J.:MCMC methods for diffusion bridges. Stochastics and Dynamics 8(3), 319-350 (2008).
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(2008)
Stochastics and Dynamics
, vol.8
, Issue.3
, pp. 319-350
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Beskos, A.1
Roberts, G.2
Stuart, A.3
Voss, J.4
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6
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16244387937
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Optimal scaling for the transient phase of local Metropolis-Hastings algorithms
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Christensen, O., Roberts, G., Rosenthal, J.: Optimal scaling for the transient phase of local Metropolis-Hastings algorithms. J. Roy. Stat. Soc. B 67, 253-268 (2005).
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(2005)
J. Roy. Stat. Soc. B
, vol.67
, pp. 253-268
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Christensen, O.1
Roberts, G.2
Rosenthal, J.3
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7
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70450204668
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Bayesian inverse problems for functions and applications to fluid mechanics
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to appear
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Cotter, S.L., Dashti, M., Robinson, J.C., Stuart, A.M.: Bayesian inverse problems for functions and applications to fluid mechanics. Inverse Problems, to appear 2010.
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(2010)
Inverse Problems
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Cotter, S.L.1
Dashti, M.2
Robinson, J.C.3
Stuart, A.M.4
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8
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84904118592
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In preparation
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Cotter, S.L., Dashti, M., Robinson, J.C., Stuart, A.M.: MCMC in function space and applications to fluid mechanics. In preparation.
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MCMC in Function Space and Applications to Fluid Mechanics
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Cotter, S.L.1
Dashti, M.2
Robinson, J.C.3
Stuart, A.M.4
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10
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0031285157
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Weak convergence and optimal scaling of random walk metropolis algorithms
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Gelman, A., Gilks, W., Roberts, G.: Weak convergence and optimal scaling of random walk metropolis algorithms. Ann. Appl. Prob. 7, 110-120 (1997).
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(1997)
Ann. Appl. Prob
, vol.7
, pp. 110-120
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Gelman, A.1
Gilks, W.2
Roberts, G.3
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11
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84904104173
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Sampling conditioned diffusions
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To appear. Cambridge University Press
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Hairer, M., Stuart, A., Voss, J.: Sampling conditioned diffusions. In: Von Weizsäcker Proceedings, p. To appear. Cambridge University Press (2009).
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(2009)
Von Weizsäcker Proceedings
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Hairer, M.1
Stuart, A.2
Voss, J.3
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12
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84904092388
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Signal processing problems on function space: Bayesian formulation, stochastic PDEs and effective MCMC methods
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Oxford University Press, Editors D. Crisan and B. Rozovsky (2010
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Hairer, M., Stuart, A., Voss, J.: Signal processing problems on function space: Bayesian formulation, stochastic PDEs and effective MCMC methods. In: Handbook of Nonlinear Filtering. Oxford University Press, Editors D. Crisan and B. Rozovsky (2010).
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Handbook of Nonlinear Filtering
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Hairer, M.1
Stuart, A.2
Voss, J.3
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13
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52949103277
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Analysis of SPDEs arising in path sampling. II. The nonlinear case
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Hairer, M., Stuart, A.M., Voss, J.: Analysis of SPDEs arising in path sampling. II. The nonlinear case. Ann. Appl. Probab. 17(5-6), 1657-1706 (2007).
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(2007)
Ann. Appl. Probab.
, vol.17
, Issue.5-6
, pp. 1657-1706
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Hairer, M.1
Stuart, A.M.2
Voss, J.3
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14
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34248634668
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Analysis of SPDEs arising in path sampling. I. The Gaussian case
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Hairer, M., Stuart, A.M., Voss, J., Wiberg, P.: Analysis of SPDEs arising in path sampling. I. The Gaussian case. Commun. Math. Sci. 3(4), 587-603 (2005).
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(2005)
Commun. Math. Sci
, vol.3
, Issue.4
, pp. 587-603
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Hairer, M.1
Stuart, A.M.2
Voss, J.3
Wiberg, P.4
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15
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77956890234
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Monte Carlo sampling methods using markov chains and their applications
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Hastings, W.: Monte Carlo sampling methods using markov chains and their applications. Biometrika 57, 97-109 (1970).
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Biometrika
, vol.57
, pp. 97-109
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Hastings, W.1
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16
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0003335723
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Numerical solution of stochastic differential equations
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New York, Springer-Verlag, Berlin
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Kloeden, P.E., Platen, E.: Numerical solution of stochastic differential equations, Applications of Mathematics (New York), vol. 23. Springer-Verlag, Berlin (1992).
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Applications of Mathematics
, vol.23
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Kloeden, P.E.1
Platen, E.2
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19
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5744249209
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Equations of state calculations by fast computing machines
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Metropolis, N., Rosenbluth, R., Teller, M., Teller, E.: Equations of state calculations by fast computing machines. J. Chem. Phys. 21, 1087-1092 (1953).
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J. Chem. Phys
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Metropolis, N.1
Rosenbluth, R.2
Teller, M.3
Teller, E.4
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22
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0000936678
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Optimal scaling of discrete approximations to Langevin diffusions
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Roberts, G., Rosenthal, J.: Optimal scaling of discrete approximations to Langevin diffusions. J. Roy. Stat. Soc. B 60, 255-268 (1998).
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, vol.60
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Roberts, G.1
Rosenthal, J.2
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Optimal scaling for various Metropolis-Hastings algorithms
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Roberts, G., Rosenthal, J.: Optimal scaling for various Metropolis-Hastings algorithms. Statistical Science 16, 351-367 (2001).
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Statistical Science
, vol.16
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Roberts, G.1
Rosenthal, J.2
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24
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Conditional path sampling of SDEs and the Langevin MCMC method
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Stuart, A., Voss, J., Wiberg, P.: Conditional path sampling of SDEs and the Langevin MCMC method. Commun. Math. Sci. 2(4), 685-697 (2004).
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Commun. Math. Sci
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Stuart, A.1
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