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Proceedings of the First US/Japan Conference on the Frontiers of Statistical Modeling: An Informational Approach

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Table of Contents

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    Book Overview
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    Chapter 1 Summary of Contributed Papers to Volume 3
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    Chapter 2 Implications of Informational Point of View on the Development of Statistical Science
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    Chapter 3 From Comparison Density to Two Sample Analysis
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    Chapter 4 Statistical Identification and Optimal Control of Thermal Power Plants
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    Chapter 5 Applications of Auto Regressive Model to Control Ship’s Motions and Marine Engine
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    Chapter 6 Statistical Models for Earthquake Occurrence: Clusters, Cycles and Characteristic Earthquakes
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    Chapter 7 Seismological Applications of Statistical Methods for Point-Process Modelling
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    Chapter 8 One Channel At-A-Time Multichannel Autoregressive Modeling of Stationary and Nonstationary Time Series
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    Chapter 9 Separation of Spin Synchronized Signals Using a Bayesian Approach
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    Chapter 10 The Local Linearization Filter with Application to Nonlinear System Identifications
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    Chapter 11 Inference of Evolutionary Trees from DNA and Protein Sequence Data
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    Chapter 12 New Structure Criteria in Group Method of Data Handling
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    Chapter 13 The Use of the Kullback-Leibler Distance for Learning in Neural Binary Classifiers
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    Chapter 14 Likelihood Estimation of Directional Interaction
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    Chapter 15 New Approach to Optimization of Stable Estimation
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Citations

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Title
Proceedings of the First US/Japan Conference on the Frontiers of Statistical Modeling: An Informational Approach
Published by
Springer Netherlands, December 2012
DOI 10.1007/978-94-011-0854-6
ISBNs
978-9-40-104368-7, 978-9-40-110854-6
Editors

Bozdogan, H., Sclove, S. L., Gupta, A. K., Haughton, D., Kitagawa, G., Ozaki, T., Tanabe, K.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 1 17%
Unknown 5 83%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 33%
Student > Doctoral Student 2 33%
Student > Ph. D. Student 1 17%
Other 1 17%
Readers by discipline Count As %
Mathematics 1 17%
Agricultural and Biological Sciences 1 17%
Economics, Econometrics and Finance 1 17%
Earth and Planetary Sciences 1 17%
Social Sciences 1 17%
Other 1 17%