Presentation 2013-06-14
Modeling for Events characterizing Simultaneous Change in Time Series Parameters by using Coupled Pricing and Parameter Estimation based on Bayesian Method
Shozo TOKINAGA, Yoshikau IKEDA,
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Abstract(in English) At first, we formalize the change point of parameter by using the jumps of time series modeled by the discrete chaotic fluctuation (called pricing) based on arrival/balk of input flow to queueing systems having capacity A. Then, we extend the synchronization to define the model inducing jumps in several fluctuation generated by referencing and coupling their state variables, which correspond to the simultaneous changes of parameters. We use the conventional Genetic Algorithm (GA) to estimate the model of coupled pricing where the fitness of individual is defined as the likelihood of parameter estimation reduced by the pricing defined by the individual.
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Keyword(in English) Pricing / Time series parameters / Event of simultaneous change / Chaotic fluctuation / Bayesian estimation
Paper # SIS2013-11
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Conference Date 2013/6/6(1days)
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Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Modeling for Events characterizing Simultaneous Change in Time Series Parameters by using Coupled Pricing and Parameter Estimation based on Bayesian Method
Sub Title (in English)
Keyword(1) Pricing
Keyword(2) Time series parameters
Keyword(3) Event of simultaneous change
Keyword(4) Chaotic fluctuation
Keyword(5) Bayesian estimation
1st Author's Name Shozo TOKINAGA
1st Author's Affiliation Graduate School of Econmics, Kyushu University()
2nd Author's Name Yoshikau IKEDA
2nd Author's Affiliation Faculty of Economics and Business administration, The University of Kitakyushu
Date 2013-06-14
Paper # SIS2013-11
Volume (vol) vol.113
Number (no) 78
Page pp.pp.-
#Pages 6
Date of Issue