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Stratified Sampling: Theory and Applications

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Review Session: Module 1 Log in to Mediaspace to watch this video

Introduces inferential statistics, covering sampling, central tendency, dispersion, histograms, z-scores, and the normal distribution.

Sampling: Inference and Statistics Log in to Mediaspace to watch this video

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Markov Chain Monte Carlo Log in to Mediaspace to watch this video

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Approximate Query Processing: BlinkDB Log in to Mediaspace to watch this video

Introduces BlinkDB, a framework for approximate query processing using sampling techniques.

Introduction to Sampling Log in to Mediaspace to watch this video

Covers the concept of sampling, the sampling theorem, signal reconstruction, and the conversion of analogue signals to digital signals.

Data Representations and Processing in Machine Learning Log in to Mediaspace to watch this video

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Statistical Theory: Fundamentals Log in to Mediaspace to watch this video

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Sampling Complex Exponentials Log in to Mediaspace to watch this video

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Supercentenarians: Longevity Database Analysis Log in to Mediaspace to watch this video

Covers the analysis of supercentenarians' longevity data and the impact of biased sampling.

Wireless Receivers: Time and Phase Offset Log in to Mediaspace to watch this video

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Signal Processing: Basic Definitions and Properties Log in to Mediaspace to watch this video

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Probability Distributions: Central Limit Theorem and Applications Log in to Mediaspace to watch this video

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Sampling: DT-time processing of CT signals Log in to Mediaspace to watch this video

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Basics of linear regression model Log in to Mediaspace to watch this video

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Central Limit Theorem: Illustration and Applications Log in to Mediaspace to watch this video

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Introduction to Comparison Statistics Log in to Mediaspace to watch this video

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Generalized Linear Models Log in to Mediaspace to watch this video

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