There are many phenomena in everyday life where it's very difficult to model the problem. There are so many variables and so many dependencies that any approximation or assumption would lead to a huge errors in outputs. This is usually a combination of uncertainty and variability. Even though we have access to all the historical information, … Continue reading What Is Monte Carlo Simulation
Tag: Predictive Modeling
Estimating The Predictability Of Time Series Data – Part II
In the previous blog post, we discussed various types of time series data. We understood the concepts of stationarity and shocks. In this blog post, we will continue to discuss how we can estimate the predictability of time series data. People say that future is unpredictable. But that's grossly reductive! What they actually mean to … Continue reading Estimating The Predictability Of Time Series Data – Part II
Estimating The Predictability Of Time Series Data – Part I
Time series data refers to a sequence of measurements made over time. The frequency of these measurements are usually fixed, say once every second or once every hour. We encounter time series data in a variety of scenarios in the real world. Some examples include stock market data, sensor data, speech data, and so on. … Continue reading Estimating The Predictability Of Time Series Data – Part I
Perpetual Enigma 