AKA “Sequential Monte Carlo” and a profusion of other simultaneous-discovery names.
A randomised generalisation of state filter models such as the Kalman Filter.
Easy to explain with an example:
A scalable particle filter in scala
EDIT: Apparently SMC is more general - it does not necessarily assume that the additional axes are assimilated in time, but can index any arbitrary dimension of your data.