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Solow Growth Model and Extensions: Technological Change and Human Capital
An exploration of the Solow Growth Model's extensions, including the effects of technological advancement and human capital on economic growth.
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Introducing ikNN: An Interpretable k Nearest Neighbors Model
Introducing ikNN: An Interpretable k Nearest Neighbors Model
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Frequent Patterns Outlier Factor
Outlier detection is a critical task in machine learning, particularly within unsupervised learning, where data labels are absent. The goal is to identify it...
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Central Limit Theorem for m-dependent Random Variables Under Sub-linear Expectations
This article rigorously explores the Central Limit Theorem for m-dependent random variables under sub-linear expectations, presenting new inequalities, proof...
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Stockouts Hide the Demand You Needed to Forecast
Sales stop when inventory stops. Demand does not necessarily stop with them. A forecasting model trained on censored sales can therefore learn the inventory ...
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Detecting Outliers Using Principal Component Analysis (PCA)
Principal Component Analysis (PCA) is best known as a dimensionality reduction technique, but the same machinery detects outliers. The idea is direct: PCA le...
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Interpretable Outlier Detection with Counts Outlier Detector (COD)
Overview of the Counts Outliers Detector (COD)
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Applying Einstein's Principle of Simplicity Across Disciplines
Albert Einstein's quote, "Everything should be made as simple as possible, but not simpler," encapsulates a fundamental principle in science and analytics. I...
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Testing and Evaluating Outlier Detectors Using Doping
Outlier detection presents significant challenges, particularly in evaluating the effectiveness of outlier detection algorithms. Traditional methods of evalu...
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Understanding Uncertainty in Statistical Estimates: Confidence and Prediction Intervals
Statistical estimates always have some uncertainty. Consider a simple example of modeling house prices based solely on their area using linear regression. A ...
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