CONDITIONAL PATH SAMPLING FOR STOCHASTIC DIFFERENTIAL EQUATIONS THROUGH DRIFT RELAXATION

[1]  S. Godsill,et al.  Monte Carlo filtering for multi target tracking and data association , 2005, IEEE Transactions on Aerospace and Electronic Systems.

[2]  A. Chorin,et al.  Monte Carlo without chains , 2008, 0802.1046.

[3]  P. Leeuwen,et al.  Nonlinear data assimilation in geosciences: an extremely efficient particle filter , 2010 .

[4]  Tim Hesterberg,et al.  Monte Carlo Strategies in Scientific Computing , 2002, Technometrics.

[5]  Peter Deuflhard,et al.  Scientific Computing with Ordinary Differential Equations , 2002 .

[6]  B. Øksendal.  Stochastic differential equations : an introduction with applications , 1987 .

[7]  P. Bickel,et al.  Obstacles to High-Dimensional Particle Filtering , 2008 .

[8]  A. Stuart,et al.  Conditional Path Sampling of SDEs and the Langevin MCMC Method , 2004 .

[9]  Jonathan Weare,et al.  Efficient Monte Carlo sampling by parallel marginalization , 2007, Proceedings of the National Academy of Sciences.

[10]  Vasileios Maroulas,et al.  Tracking spawning objects , 2013 .

[11]  David Chandler,et al.  Transition path sampling: throwing ropes over rough mountain passes, in the dark. , 2002, Annual review of physical chemistry.

[12]  A. Chorin,et al.  Implicit sampling for particle filters , 2009, Proceedings of the National Academy of Sciences.

[13]  N. Gordon,et al.  Novel approach to nonlinear/non-Gaussian Bayesian state estimation , 1993 .

[14]  W. Marsden.  I and J , 2012 .

[15]  Matthias Morzfeld,et al.  Implicit particle filters for data assimilation , 2010, 1005.4002.

[16]  W. Gilks,et al.  Following a moving target—Monte Carlo inference for dynamic Bayesian models , 2001 .

[17]  Ronald P. S. Mahler,et al.  Statistical Multisource-Multitarget Information Fusion , 2007 .

[18]  Claus Hillermeier,et al.  Nonlinear Multiobjective Optimization , 2001 .

[19]  Jonathan Weare,et al.  Particle filtering with path sampling and an application to a bimodal ocean current model , 2009, J. Comput. Phys..

[20]  A. Doucet,et al.  Sequential Monte Carlo methods for multitarget filtering with random finite sets , 2005, IEEE Transactions on Aerospace and Electronic Systems.

[21]  C. Hillermeier.  Nonlinear Multiobjective Optimization: A Generalized Homotopy Approach , 2001 .

[22]  J. Vermaak,et al.  A hybrid approach for online joint detection and tracking for multiple targets , 2005, 2005 IEEE Aerospace Conference.

[23]  Panagiotis Stinis,et al.  A drift homotopy Monte Carlo approach to particle filtering for multi-target tracking , 2010, 1006.3100.