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Statistical and Computational Tradeoffs in High-dimensional Problems
2014With the recent data revolution, statisticians are considering larger datasets, more sophisticated models, more complex problems. As a consequence, the algorithmic aspect of statistical methods can no longer be neglected in a world where computational power is the bottleneck, not the lack of observations.
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Statistical and Computational Inverse Problems
2005Jari P. Kaipio, Erkki Somersalo
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Computational Complexity and ILP Models for Pattern Problems in the Logical Analysis of Data
Algorithms, 2021Giuseppe Lancia +2 more
exaly
Stirling distributions and Stirling numbers of the second kind. Computational problems in statistics
Kybernetika, 1994Summary: The left-truncated generalized Poisson distribution belongs to the family of the modified power series distributions. Using sufficiency and completeness of \(\sum X_ i\) \((\min X_ i, \sum X_ i)\), respectively, when the truncation point is known (resp.
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Developing computational thinking with a module of solved problems
Computer Applications in Engineering Education, 2021Raidell Avello Martinez +2 more
exaly
Statistical Computation for Problems in Dynamic Systems and Protein Folding
2013Statistics
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Statistical problems at computing online controlled experiments at scale
Online controlled experiments, or A/B tests, are a reliable tool for data-driven decision making in industrial applications. We discuss several applied statistical problems related to the A/B testing at scale. The list of problems includes detecting inherent biases in samples, reducing metric variance to accelerate A/B tests, and improving statistical ...Zasko, G. V. +2 more
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