A blog on data science, machine learning and artificial intelligence.
As promised, this is the second post on my two part blog series on time series modelling and forecasting. In my first blog post I discussed the basics of time series analysis and gave a theoretical overview. In case you missed it you can find it here - Understanding Time Series Modelling and Forecasting, Part 1 … Continue reading Understanding Time Series Modelling and Forecasting, Part 2
Time series forecasting is extensively used in numerous practical fields such as business, economics, finance, science and engineering. The main aim of a time series analysis is to forecast future values of a variable using its past values. In this post, I will give you a detailed introduction to time series modelling. This would be the… Continue reading Understanding Time Series Modelling and Forecasting – Part 1
We are often interested in population parameters. For example, the mean salary of all adults in a country. But collecting data of the entire population is almost always infeasible. Therefore, we use samples of the population to get a point estimate of our parameter of interest. But, what is the 95% confidence interval of your… Continue reading Bootstrapping – A Powerful Resampling Method in Statistics
