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I propose to enhance the "Death Rate Analysis" project by integrating a time-series analysis of death rates, HDI, and GDP over multiple years. This will allow us to assess how mortality statistics hav…
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### JASP Version
0.18.3
### Commit ID
_No response_
### JASP Module
Time Series
### What analysis are you seeing the problem on?
Stationarity tests
### What OS are you seeing the problem on?
…
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### JASP Version
0.18.3
### Commit ID
_No response_
### JASP Module
Time Series
### What analysis are you seeing the problem on?
Transformation under stationarity
### What OS are you seeing t…
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# Moving Average (MA) and ARMA Models | Chan`s Jupyter
A Summary of lecture “Time Series Analysis in Python”, via datacamp
[https://goodboychan.github.io/python/datacamp/time_series_analysis/2020/06…
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Hi,
I have been trying to do some spectral analysis using variables from `ACCESS-OM2` output. Due to its large, chunked data doing any kind of analysis is very slow. For example, I am calculating th…
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🔍 Problem Description:
The rapid advancement of technology and online platforms has led to a significant increase in the amount of data generated. Predicting sales trends can be a complex challenge f…
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Objective: Apply a traditional approach using different models such as Auto Regression, Moving Average, Random walk to do time series analysis on different stock datasets and prediction for the datas…
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In this, we will convert a time series problem to a supervised machine learning problem to predict driver demand. Exploratory analysis has to be performed on the time series to identify patterns. A re…
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### JASP Version
0.19.1
### Commit ID
_No response_
### JASP Module
Time Series
### What analysis are you seeing the problem on?
_No response_
### What OS are you seeing the problem on?
Other…
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* compute pairwise Euclidean Distance