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"Monte Carlo convergence" means that you've sampled enough individuals to represent (and understand) a general population. If the probability models behind your Monte Carlo simulation are accurate, then your results will match reality as you increase your sampling size. Monte Carlo convergence becomes difficult when you try to study a low-probability sub-...


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You could focus on the algorithms used to implement the numerical methods.


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My CS master was: Investment recommendations generated using prediction models based on regression in time series Description: The purpose of this paper is to present the environment for generating investment recommendations from predictive models based on regression and evaluating their performance using machine learning techniques on historical high ...



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