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.
4.17 (459 reviews)
Udemy
platform
English
language
Data Science
category
R Programming for Simulation and Monte Carlo Methods
4,920
students
11.5 hours
content
Jul 2020
last update
$64.99
regular price

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.

Screenshots

R Programming for Simulation and Monte Carlo Methods - Screenshot_01R Programming for Simulation and Monte Carlo Methods - Screenshot_02R Programming for Simulation and Monte Carlo Methods - Screenshot_03R Programming for Simulation and Monte Carlo Methods - Screenshot_04
Related Topics
591114
udemy ID
8/23/2015
course created date
11/18/2019
course indexed date
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