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

Volume 3 Engineering and Scientific Applications
Softcover Nachdruck of the original 1. Auflage 1994
ISBN: 978-94-010-4368-7
Verlag: Springer Netherlands

Buch, Englisch, 349 Seiten, Paperback, Format (B × H): 160 mm x 240 mm, Gewicht: 588 g

These three volumes comprise the proceedings of the US/Japan Conference, held in honour of Professor H. Akaike, on the `Frontiers of Statistical Modeling: an Informational Approach'. The major theme of the conference was the implementation of statistical modeling through an informational approach to complex, real-world problems.
contains papers which deal with the . Volume 1 also contains the text of the Banquet talk by E. Parzen and the keynote lecture of H. Akaike. is devoted to the general topic of , and contains the papers relating to .
For all scientists whose work involves statistics.

Zielgruppe

Research

Autoren/Hrsg.

Bozdogan, H.

Weitere Mitwirkende

Sclove, S.L.

Gupta, Arjun K.

Haughton, D.

Kitagawa, G.

Ozaki, T.

Tanabe, Kunio

Fachgebiete

• Mathematik | Informatik Mathematik Stochastik

Inhaltsverzeichnis

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