Lagged Predictors in Regression Models and Improving by Bootstrapping and Bagging
Huge lines at gas stations have been seen around Turkey in recent days. Under the reason for this is the rise in the prices so often, in the last few months and the expectation to continue this. Of course, it is known that the rise in the exchange rate (US dollar to Turkish lira) hasContinue reading “Lagged Predictors in Regression Models and Improving by Bootstrapping and Bagging”
Dynamic Regression with ARIMA Errors: The Students on the Streets
The higher education students have had trouble being housing in Turkey in recent days. There have been people who even sleep on the streets like a homeless. The government has been accused of investing inadequate dormitories for sheltering the students. Let’s examine the ongoing sheltering problem of students. The dataset we have built for thisContinue reading “Dynamic Regression with ARIMA Errors: The Students on the Streets”
Forecasting with ARIMA from {fable}: The Election is Coming for Turkey?
Nowadays, every journalist and intellectual talks about a probable early election in Turkey’s ongoing poor economic conditions. But, is it politically right decision to go early election before the officially announced 23 June 2023 in terms of ruling parties? In order to answer this question, we have to choose some variables to monitor economic conditions,Continue reading “Forecasting with ARIMA from {fable}: The Election is Coming for Turkey?”
Wildfires Comparison with ggplot2 dual Y-axis and Forecasting with KNN
In recent days, Turkey has been escalated wildfires. The government and the people were on the alert and mobilized to put out the fires but, they couldn’t for days. A significant part of people thought that the simultaneous fires had no make sense, and there was probably some kind of terrorist actions beyond these fires.Continue reading “Wildfires Comparison with ggplot2 dual Y-axis and Forecasting with KNN”
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