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Statistical Inference from High Dimensional Data

by Carlos Fernandez-Lozano
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Current price ₹6,082.00
Original price ₹7,945.00
Original price ₹7,945.00
Original price ₹7,945.00
(-23%)
₹6,082.00
Current price ₹6,082.00

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Book cover type: Hardcover
  • ISBN13: 9783036509440
  • Binding: Hardcover
  • Subject: N/A
  • Publisher: Mdpi AG
  • Publisher Imprint: Mdpi AG
  • Publication Date:
  • Pages: 314
  • Original Price: GBP 62.8
  • Language: English
  • Edition: N/A
  • Item Weight: 876 grams
  • BISAC Subject(s): Life Sciences / Biology

- 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

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