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New Directions in Statistical Physics : Econophysics, Bioinformatics, and Pattern Recognition

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Table of Contents

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    Book Overview
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    Chapter 1 Predicting the Direction of a Time Series
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    Chapter 2 On the Variability of Timing in a Spatially Continuous System with Heterogeneous Connectivity
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    Chapter 3 First Passage Time Problem: A Fokker-Planck Approach
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    Chapter 4 First- and Last-Passage Algorithms in Diffusion Monte Carlo
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    Chapter 5 An Updated Review of the LLS Stock Market Model: Complex Market Ecology, Power Laws in Wealth Distribution and Market Returns
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    Chapter 6 Patterns, Trends and Predictions in Stock Market Indices and Foreign Currency Exchange Rates
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    Chapter 7 Toward an Understanding of Financial Markets using Multi-agent Games
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    Chapter 8 Towards Understanding the Predictability of Stock Markets from the Perspective of Computational Complexity
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    Chapter 9 Patterns in Economic Phenomena
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    Chapter 10 New Algorithms and the Physics of Protein Folding
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    Chapter 11 Sequence Alignment in Bioinformatics
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    Chapter 12 Resolution of Some Paradoxes in B-Cell Binding and Activation: A Computer Study
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    Chapter 13 Proliferation and Competition in Discrete Biological Systems
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    Chapter 14 Privacy and Data Exchanges
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    Chapter 15 Statistical Physics and the Clustering Problem
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    Chapter 16 The Challenges of Clustering High Dimensional Data
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    Chapter 17 Some Statistical Physics Approaches for Trends and Predictions in Meteorology
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    Chapter 18 An Initial Look at Acceleration-Modulated Thermal Convection
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Title
New Directions in Statistical Physics : Econophysics, Bioinformatics, and Pattern Recognition
Published by
Springer Berlin Heidelberg, March 2013
DOI 10.1007/978-3-662-08968-2
ISBNs
978-3-66-208968-2, 978-3-64-207739-5
Editors

Wille, Luc T.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Denmark 1 5%
Unknown 19 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 35%
Student > Master 4 20%
Student > Bachelor 2 10%
Other 1 5%
Student > Doctoral Student 1 5%
Other 2 10%
Unknown 3 15%
Readers by discipline Count As %
Physics and Astronomy 4 20%
Computer Science 4 20%
Engineering 2 10%
Business, Management and Accounting 1 5%
Agricultural and Biological Sciences 1 5%
Other 5 25%
Unknown 3 15%