Pages that link to "Item:Q2955467"
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The following pages link to Markov chain Monte Carlo inference for Markov jump processes via the linear noise approximation (Q2955467):
Displaying 17 items.
- Delayed acceptance particle MCMC for exact inference in stochastic kinetic models (Q261048) (← links)
- Information-geometric Markov chain Monte Carlo methods using diffusions (Q296467) (← links)
- Marginal reversible jump Markov chain Monte Carlo with application to motor unit number estimation (Q1623396) (← links)
- Unbiased Bayesian inference for population Markov jump processes via random truncations (Q1703815) (← links)
- Accelerating sequential Monte Carlo with surrogate likelihoods (Q2058808) (← links)
- Augmented pseudo-marginal Metropolis-Hastings for partially observed diffusion processes (Q2114055) (← links)
- Direct statistical inference for finite Markov jump processes via the matrix exponential (Q2135942) (← links)
- Parameter sensitivity analysis for biochemical reaction networks (Q2160752) (← links)
- The linear noise approximation for spatially dependent biochemical networks (Q2325565) (← links)
- Efficient sampling of conditioned Markov jump processes (Q2329829) (← links)
- Bayesian inference for Markov jump processes with informative observations (Q2344257) (← links)
- Bayesian computation methods for inference in stochastic kinetic models (Q2424613) (← links)
- Quantifying intrinsic and extrinsic noise in gene transcription using the linear noise approximation: an application to single cell data (Q2441840) (← links)
- Approximation and inference methods for stochastic biochemical kinetics—a tutorial review (Q2971484) (← links)
- Scalable inference for Markov processes with intractable likelihoods (Q5963547) (← links)
- Accelerating Bayesian inference for stochastic epidemic models using incidence data (Q6089189) (← links)
- Accelerating inference for stochastic kinetic models (Q6115546) (← links)
