Reconstructing Probability Distributions from Data

Charu C. Aggarwal
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Charu C. Aggarwal: IBM T. J. Watson Research Center

Chapter Chapter 6 in Probability and Statistics for Machine Learning, 2024, pp 245-301 from Springer

Abstract: Abstract Machine learning applications often assume that the observed data is sampled from probability distributions. How can these probability distributions be reverse engineered from observed data? The main challenge is that the data analyst only has access to observed data but no a priori knowledge of the shape of the underlying probability distribution.

Date: 2024
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DOI: 10.1007/978-3-031-53282-5_6

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