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Udemy - R Programming For Simulation And Monte Carlo Methods
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Learn to program statistical applications and Monte Carlo simulations with numerous "real-life" cases and R software. What you'll learn
Use R software to program probabilistic simulations, often called Monte Carlo simulations. Use R software to program mathematical simulations and to create novel mathematical simulation functions. Use existing R functions and understand how to write their own R functions to perform simulated inference estimates, including likelihoods and confidence intervals, and to model other cases of stochastic simulation. Be able to generate different different families (and moments) of both discrete and continuous random variables. Be able to simulate parameter estimation, Monte-Carlo Integration of both continuous and discrete functions, and variance reduction techniques.
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