Backcast a Time Series for COVID-19 Truths
The main topic of the article is about backcasting a time series The article is explaining the mathematical structure and making a case study based… Read More »Backcast a Time Series for COVID-19 Truths
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Bootstrapping Time Series for Gold Rush
Bootstrap aggregating (bagging), is a very useful averaging method to improve accuracy and avoids overfitting, in modeling the time series. It also helps stability so… Read More »Bootstrapping Time Series for Gold Rush
Approaches to Time Series Data with Weak Seasonality
In the previous article, we have tried to model the gold price in Turkey per gram. We will continue to do that to find the… Read More »Approaches to Time Series Data with Weak Seasonality
Time Series Forecasting: KNN vs. ARIMA
It is always hard to find a proper model to forecast time series data. One of the reasons is that models that use time-series data… Read More »Time Series Forecasting: KNN vs. ARIMA
Model Selection: Adjusted Coefficient of Determination-Variance Tradeoff
In my previous article, we analyzed the COVID-19 data of Turkey and selected the cubic model for predicting the spread of disease. In this article,… Read More »Model Selection: Adjusted Coefficient of Determination-Variance Tradeoff
Testing the Correlation between Time Series Variables
In this article, we will examine whether the gasoline prices are related to the variables that are thought to affect gasoline prices the most by… Read More »Testing the Correlation between Time Series Variables