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Shahram Abyari
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  • San Jose, CA
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Vincent Granville commented on Shahram Abyari's blog post Introduction to Outlier Detection Methods
"Hi John, I checked and I am also experiencing issues with the links. It used to work when initially posted. Anyway, I did some editing and removed the links in question."
Sep 18, 2019
John Pace commented on Shahram Abyari's blog post Introduction to Outlier Detection Methods
"None of the links work"
Sep 18, 2019

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Shahram Abyari's Blog

Introduction to Outlier Detection Methods

Posted on January 18, 2016 at 3:30pm 5 Comments

This post is a summary of 3 different posts about outlier detection methods. 

One of the challenges in data analysis in general and predictive modeling in particular is dealing with outliers. There are many modeling techniques which are resistant to outliers or reduce the impact of them, but still detecting outliers and understanding them can lead to interesting findings. We generally define outliers as samples that are exceptionally far from the mainstream of data.There is no rigid…


Resolving Skewness

Posted on December 25, 2015 at 7:00am 3 Comments

The fundamental assumption in many predictive models is that the predictors have normal distributions. Normal distribution is un-skewed. An un-skewed distribution is the one which is roughly symmetric. It means the probability of falling in the right side of mean is equal to probability of falling on left side of mean.

This article outlines the steps to detect…


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