(calibration_markov_chain_mcmc_properties)=
# Defining the `TMCMC` properties

Once the `TMCMC` instance is created along with its `TDistanceLikelihoodFunction`, a few methods 
are available to tune the algorithms. All of these methods are optional, as default values are provided. However, they should be applied in the following order:

1. Define the MCMC algorithm properties that are shared by all chains: MCMC algorithm, acceptation range, and information display interval (these can be set in any order).

2. Specify the number of chains to initialize.

3. Prepare the starting points and the initial standard deviations of the proposal distribution (these can be set in any order).

```{toctree}
mcmc_properties/MCMC_methods
mcmc_properties/acceptation_rate
mcmc_properties/info_process
mcmc_properties/multistart
mcmc_properties/init_process
```