Statistical Inference from High Dimensional Data - Carlos Fernandez-Lozano - Bøger - MDPI AG - 9783036509440 - 28. april 2021
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Statistical Inference from High Dimensional Data

Carlos Fernandez-Lozano

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Statistical Inference from High Dimensional Data

- Real-world problems can be high-dimensional, complex, and noisy - More data does not imply more information - Different approaches deal with the so-called curse of dimensionality to reduce irrelevant information - A process with multidimensional information is not necessarily easy to interpret nor process - In some real-world applications, the number of elements of a class is clearly lower than the other. The models tend to assume that the importance of the analysis belongs to the majority class and this is not usually the truth - The analysis of complex diseases such as cancer are focused on more-than-one dimensional omic data - The increasing amount of data thanks to the reduction of cost of the high-throughput experiments opens up a new era for integrative data-driven approaches - Entropy-based approaches are of interest to reduce the dimensionality of high-dimensional data

Medie Bøger     Hardcover bog   (Bog med hård ryg og stift omslag)
Udgivet 28. april 2021
ISBN13 9783036509440
Forlag MDPI AG
Antal sider 314
Mål 170 × 244 × 25 mm   ·   875 g
Sprog Engelsk