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Article Contents

ABSTRACT

1.INTRODUCTION
1.1.Motivation
1.2.A short historical review

2.THE ORIGIN OF STOCHASTICITY IN STELLAR POPULATION MODELLING
2.1.From the stellar birth rate to the stellar luminosity function
2.2.From resolved CMD to integrated luminosities and the dependence on N

3.STELLAR POPULATION MODELLING: THE PARAMETRIC APPROACH AND ITS LIMITATIONS
3.1.The mean and variance obtained using standard models

4.STELLAR POPULATIONS USING MONTE CARLO MODELLING
4.1.Understanding Monte Carlo simulations: the revenge of the stellar luminosity function
4.2.What we can learn from Monte Carlo simulations?

5.IMPLICATIONS OF PROBABILISTIC MODELLING
5.1.Metrics of fitting
5.2.The population and the sample definition
5.3.Some rules of thumb

6.THE (STILL) POORLY EXPLORED ARENA

7.CONCLUSIONS

REFERENCES