Observation

Negative Binomial

class NegativeBinomialObservation(name, concentration_rv, eps=1e-10)

Bases: RandomVariable

Negative Binomial observation

Parameters:

• name (str)

• concentration_rv (RandomVariable)

• eps (float)

sample(mu, obs=None, **kwargs)

Sample from the negative binomial distribution

Parameters:

• mu (ArrayLike) – Mean parameter of the negative binomial distribution.

• obs (ArrayLike, optional) – Observed data, by default None.

• **kwargs (dict, optional) – Additional keyword arguments passed through to internal sample calls, should there be any.

Return type:

ArrayLike

static validate(concentration_rv)

Check that the concentration_rv is actually a RandomVariable

Parameters:

concentration_rv (any) – RandomVariable from which to sample the positive concentration parameter of the negative binomial.

Return type:

None

Poisson

class PoissonObservation(name, eps=1e-08)

Bases: RandomVariable

Poisson observation process

Parameters:

• name (str)

• eps (float)

sample(mu, obs=None, **kwargs)

Sample from the Poisson process

Parameters:

• mu (ArrayLike) – Rate parameter of the Poisson distribution.

• obs (ArrayLike | None, optional) – Observed data. Defaults to None.

• **kwargs (dict, optional) – Additional keyword arguments passed through to internal sample calls, should there be any.

Return type:

ArrayLike

static validate()

Validation of kwargs to be implemented in subclasses.