How to understand the maths in generating the timeseries with different patterns

Hi everyone,

Could someone guide in how to understand the math in generating different timeseries patterns or any learning material for the same

Thanking in advance

1 Like

Does this link help?

1 Like

Hi @Kavia_Aravind

welcome to the community and thanks for your question!

In addition, you might wanna take a look at Time Series Modeling or prediction with:

Hope that helps, @Kavia_Aravind.

Best regards

Hi @Kavia_Aravind

Generating time series patterns is a challenging task that involves understanding several mathematical concepts such as time series analysis, statistical modeling, and machine learning.

A good place to start learning about time series patterns is by studying the basics of time series analysis. This includes concepts such as:

  • Stationarity and non-stationarity
  • Autocorrelation and partial autocorrelation
  • Moving averages and exponential smoothing
  • ARIMA (Autoregressive Integrated Moving Average) models

Once you have a good understanding of the basics, you can move on to more advanced topics such as:

  • State-space models (e.g. Kalman filter)
  • Time series forecasting using machine learning (e.g. neural networks)
  • Time series decomposition and pattern identification

There are many resources available online to learn about time series analysis, including online tutorials, video lectures, and textbooks. Some popular resources include:

  • “Forecasting: Principles and Practice” by Rob J Hyndman and George Athanasopoulos
  • “Time Series Analysis and Its Applications: With R Examples” by Robert H. Shumway and David S. Stoffer
  • “Introduction to Time Series and Forecasting” by Peter J. Brockwell and Richard A. Davis

In addition to learning about time series analysis, it’s also important to have a solid understanding of machine learning and statistical modeling as well. Books and courses on these topics will help you to understand the various techniques that are used to generate time series patterns, such as neural networks and deep learning.

You can also find a lot of tutorials, blog post, and videos on the internet. Some popular websites include:

Keep in mind that understanding time series patterns and forecasting is a challenging task and it will require a lot of practice and experimentation to master.

Hope so this will help you

Muhammad John Abbas