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Unit Details:
Unit 1 Checklist of forecasting with Holt Winters with time series analysis by using ACF, SSE, alpha, beta, gamma, Ljung-Box, detrending decomposing
Unit 2 An ARMA model R code walkthrough
Unit 3 Checklist of forecasting with ARIMA: is time series stationary, differentiate, ARIMA(p,d,q), and which AMRA model to use?
Unit 4 R code walkthrough: Detrend to use Auto ARIMA modelling and forecast with statistical data and Ljung BoxTest
Unit 5 My first version of ARIMA R script with Forex data and Equity 1 and 5 min frequency
Unit 6 Bayesian analysis to Compare algorithms with Gibbs
Unit 7 Markov Chain R source code walkthrough
Unit 8 Monte Carlo R Walkthrough Demo
Unit 9 An alternative to running a Monte Carlo simulation
Unit 10 R code walkthrough Mean Absolute Deviation with Efficiency Frontiers Demo
Price: $67.00
R Course with Quant
R Course with Quant
Module 1 | Intro |
---|---|
Intro | |
Unit 2 | An ARMA model R code walkthrough |
Unit 3 | Checklist of forecasting with ARIMA: is time series stationary, differentiate, ARIMA(p,d,q), and which AMRA model to use? |
Unit 4 | R code walkthrough: Detrend to use Auto ARIMA modelling and forecast with statistical data and Ljung BoxTest |
Unit 5 | My first version of ARIMA R script with Forex data and Equity 1 and 5 min frequency |
Unit 6 | Bayesian analysis to Compare algorithms with Gibbs |
Unit 7 | Markov Chain R source code walkthrough |
Unit 8 | Monte Carlo R Walkthrough Demo |
Unit 9 | An alternative to running a Monte Carlo simulation |
Unit 10 | R code walkthrough Mean Absolute Deviation with Efficiency Frontiers Demo |