COOKIES: By using this website you agree that we can place Google Analytics Cookies on your device for performance monitoring. |

University of Cambridge > Talks.cam > Statistics > Bayesian inference for Markov processes with application to biochemical network dynamics

## Bayesian inference for Markov processes with application to biochemical network dynamicsAdd to your list(s) Download to your calendar using vCal - Darren Wilkinson, University of Newcastle
- Friday 14 October 2011, 16:00-17:00
- MR12, CMS, Wilberforce Road, Cambridge, CB3 0WB.
If you have a question about this talk, please contact Richard Samworth. A number of interesting statistical applications require the estimation of parameters underlying a nonlinear multivariate continuous time Markov process model, using partial and noisy discrete time observations of the system state. Bayesian inference for this problem is difficult due to the fact that the discrete time transition density of the Markov process is typically intractable and computationally intensive to approximate. It turns out to be possible to develop MCMC algorithms which are exact, provided that one can simulate exact realisations of the process forwards in time. Such algorithms, often termed “likelihood free” or “plug-and-play” are very attractive, as they allow separation of the problem of model development and simulation implementation from the development of inferential algorithms. Such techniques break down in the case of perfect observation or high-dimensional data, but more efficient algorithms can be developed if one is prepared to deviate from the likelihood free paradigm, at least in the case of diffusion processes. The methods will be illustrated using examples from population dynamics and stochastic biochemical network dynamics. This talk is part of the Statistics series. ## This talk is included in these lists:- All CMS events
- All Talks (aka the CURE list)
- CMS Events
- Cambridge Forum of Science and Humanities
- Cambridge Language Sciences
- Chris Davis' list
- DPMMS Lists
- DPMMS info aggregator
- DPMMS lists
- Guy Emerson's list
- MR12, CMS, Wilberforce Road, Cambridge, CB3 0WB
- Machine Learning
- School of Physical Sciences
- Statistical Laboratory info aggregator
- Statistics
- Statistics Group
- bld31
- rp587
Note that ex-directory lists are not shown. |
## Other listsCambridge Psychometrics Centre Seminars MRI Physics and Analysis for Cognitive Neuroscientists Cambridge Startup Weekend## Other talksLarge scale vortices and zonal flows in spherical rotating convection Biodiversity offsetting and the construction of "Equivalent natures": A Marxist critique Roland the Hero Adding turbulent convection to geostrophic circulation: insights into ocean heat transport Ribosome profiling and virus infection |