-53% OFFImperial College Press
Nonlinear Mixture Models (English, Tatiana V. Tatarinova | Alan Schumitzky)
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Specifications
| Publisher | Imperial College Press |
| Language | English |
| ISBN-13 | 9781848167568 |
| ISBN-10 | 1848167563 |
| Author | Tatiana V. Tatarinova | Alan Schumitzky |
Product Description
About the Book
This book, written by two mathematicians from the University of Southern California, provides a broad introduction to the important subject of nonlinear mixture models from a Bayesian perspective. It contains background material, a brief description of Markov chain theory, as well as novel algorithms and their applications. It is self-contained and unified in presentation, which makes it ideal for use as an advanced textbook by graduate students…
ISBN: 9781848167568
Book Insights
What You'll Learn
- ·In-depth exploration of topics covered in Nonlinear Mixture Models
- ·Key concepts explained with clarity and practical examples
- ·Insights valuable for anyone studying or working in Imperial College Press
Who Should Read This
Beginners and newcomers to the subject, as well as curious general readers.
Key Highlights
- ·Brand new physical book delivered across India
- ·15-day hassle-free return policy
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Nonlinear Mixture Models is available in English on GlowMirror.
Who is the author of Nonlinear Mixture Models?
Nonlinear Mixture Models is authored by Tatiana V. Tatarinova | Alan Schumitzky.
Who published Nonlinear Mixture Models?
Nonlinear Mixture Models is published by Imperial College Press.
How many pages does Nonlinear Mixture Models have?
Page count information for Nonlinear Mixture Models is available in the specifications section of this page.
How long does it take to read Nonlinear Mixture Models?
At an average reading speed of 250 words per minute, reading Nonlinear Mixture Models takes a few hours to a few days depending on reading pace.
What is Nonlinear Mixture Models about?
About the Book
This book, written by two mathematicians from the University of Southern California, provides a broad introduction to the important subject of nonlinear mixture models from a Bayesian perspective. It contains background material, a brief description of Markov chain theory, as well a...
Is Nonlinear Mixture Models suitable for beginners?
Whether Nonlinear Mixture Models is suitable for beginners depends on your background in Imperial College Press. Review the product description and specifications above for details on the target audience and difficulty level.
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Nonlinear Mixture Models is from the Imperial College Press edition/year. Check the specifications section for full edition details.
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