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BOOKS by Genshiro Kitagawa

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Selected Papers of Hirotugu Akaike

Selected Papers of Hirotugu Akaike more books like this

by Genshiro Kitagawa, Hirotsugu Akaike, Emanuel Parzen (Editor)

The pioneering research of Hirotugu Akaike has an international reputation for profoundly affecting how data and time series are analyzed and modelled and is highly regarded by the statistical and technological communities of Japan and the world. His 1974 paper, "A new look at the statistical model identification" is one of the most frequently ...

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new only from $67.00! | first editions

Smoothness Priors Analysis of Time Series

Smoothness Priors Analysis of Time Series more books like this

by Genshiro Kitagawa, Will Gersch

The problems of modelling stationary and nonstationery time series from a Bayesian stochastic regression "smoothness priors" state space point of view are addressed in this work.

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The Practice of Time Series Analysis

The Practice of Time Series Analysis more books like this

by Hirotsugu Akaike (Editor), Genshiro Kitagawa (Editor)

This book presents a collection of applied papers on time series that have not appeared in English. The applications are primarily to engineering and the physical sciences.

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Methods and Applications of Signal Processing in Seismic Network Operations

Methods and Applications of Signal Processing in Seismic Network Operations more books like this

by Ludger Hark Wossmann, Tetsuo Takanami, Genshiro Kitagawa

This book deals with various theoretical and practical methods for real-time automatic signal processing in local (and regional) seismic networks and associated software developments, including extraction of small seismic signal from noisy observation by piecewise modeling and self-organizing state space modeling, determination of arrival time of ...

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new only from $127.00! | first editions

Information Criteria and Statistical Modeling

Information Criteria and Statistical Modeling more books like this

by Sadanori Konishi

The Akaike information criterion (AIC) derived as an estimator of the Kullback-Leibler information discrepancy provides a useful tool for evaluating statistical models, and numerous successful applications of the AIC have been reported in various fields of natural sciences, social sciences and engineering. One of the main objectives of this book ...

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