R Programming for Simulation and Monte Carlo Methods
Learn to program statistical applications and Monte Carlo simulations with numerous "real-life" cases and R software.
4.09 (461 reviews)
4 925
students
11.5 hours
content
Jul 2020
last update
$64.99
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What you will 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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591114
udemy ID
23/08/2015
course created date
18/11/2019
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