Simulate the log-Gaussian Cox-Process using thinning
Simulate the log-Gaussian Cox-Process using thinning
the starting time of the process
an integer specifying the timestep between simulating the latent state, 10e-precision
a vector of Data specifying when events happened
Simulate from a POMP model (not including the Log-Gaussian Cox-Process) on a regular grid from t = 0 using the MarkovChain from the breeze package
Simulate from a POMP model (not including the Log-Gaussian Cox-Process) on a regular grid from t = 0 using the MarkovChain from the breeze package
the time increment between sucessive realisations of the POMP model
a Process, representing a distribution which depends on previous draws
Simulate from a POMP model on an irregular grid, given an initial time and a stream of times at which simulate from the model
Simulate from a POMP model on an irregular grid, given an initial time and a stream of times at which simulate from the model
the start time of the process
an Akka Flow transforming a Stream from Time to ObservationWithState
Simulate from any model on a regular grid from t = 0 and return an Akka stream of realisations
Simulate from any model on a regular grid from t = 0 and return an Akka stream of realisations
the time increment between successive realisations of the POMP model
an Akka Stream containing a realisation of the process