Pages that link to "Item:Q4455960"
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The following pages link to Likelihood and Non‐parametric Bayesian MCMC Inference for Spatial Point Processes Based on Perfect Simulation and Path Sampling (Q4455960):
Displaying 9 items.
- Campbell equilibrium equation and pseudo-likelihood estimation for non-hereditary Gibbs point processes (Q605901) (← links)
- A short history of Markov chain Monte Carlo: Subjective recollections from incomplete data (Q635417) (← links)
- Characterization results and Markov chain Monte Carlo algorithms including exact simulation for some spatial point processes (Q1304023) (← links)
- Mixture formulae for shot noise weighted point processes (Q1827548) (← links)
- Non-parametric Bayesian inference for inhomogeneous Markov point processes (Q2810356) (← links)
- Fast covariance estimation for innovations computed from a spatial Gibbs point process (Q2868860) (← links)
- Takacs-Fiksel method for stationary marked Gibbs point processes (Q2914944) (← links)
- A double Metropolis–Hastings sampler for spatial models with intractable normalizing constants (Q3012676) (← links)
- Pairwise interaction function estimation of stationary Gibbs point processes using basis expansion (Q6136585) (← links)
