Probability distribution fitting

Related lectures (32)

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Explores the properties of the Gumbel distribution and its application in the coupon collector problem with illustrative examples.

Explores the SWISH principle of transitioning between different planes to shape collaborative discussions.

Covers the basics of data analysis, focusing on statistical concepts and correlation measures.

Explores the Carpan collector problem, analyzing expected completion times and waiting times for collecting different objects uniformly at random.

Explores the Heffernan-Tawn model for asymptotic independence and extreme events.

Discusses challenges in scalable analytics over heterogeneous Big Data and introduces SmartDataLake for efficient handling of raw data.

Covers analytical query processing, declustering strategies, and distributed operations.

Explores generalization error in machine learning, focusing on data distribution and hypothesis impact.

Introduces statistics basics, including data analysis and probability theory, emphasizing central tendency, dispersion, and distribution shapes.

Covers Extreme Value Theory, GEV distributions, GPD, and threshold exceedances.