Presentation 2021-07-17
Non-informative Priors for the Inverse Gaussian Distribution
Takenori Sakumura, Takemi Yanagimoto,
PDF Download Page PDF download Page Link
Abstract(in Japanese) (See Japanese page)
Abstract(in English) In reliability engineering, the distribution of the initial arrival time in the accelerated degradation model is represented by an inverse Gaussian distribution. The inverse Gaussian distribution is a typical distribution belonging to the exponential dispersion model along with the normal and gamma distributions. The Bayesian estimator using the canonical parameter has good performance for the parameter estimation of this distribution. As an objective prior distribution, we consider assuming a prior distribution that does not give any information, such as a reference prior or a moment matching prior. We compare the performance of Bayesian estimators using these prior distributions by simulation under several loss functions.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Optimum predictor / posterior mean / reference prior / moment matching prior
Paper # R2021-16
Date of Issue 2021-07-10 (R)

Conference Information
Committee R
Conference Date 2021/7/17(1days)
Place (in Japanese) (See Japanese page)
Place (in English) Virtual
Topics (in Japanese) (See Japanese page)
Topics (in English) Reliability Theory, Communication Network Reliability, Reliability General
Chair Tadashi Dohi(Hiroshima Univ.)
Vice Chair Yasushi Kadota(Ricoh)
Secretary Yasushi Kadota(Hiroshima Univ.)
Assistant Shinji Yokogawa(Univ. of Electro-Comm.) / Takahide Yoshikawa(Fujitsu Lab.) / Takenori Sakumura(Housei Univ.)

Paper Information
Registration To Technical Committee on Reliability
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Non-informative Priors for the Inverse Gaussian Distribution
Sub Title (in English)
Keyword(1) Optimum predictor
Keyword(2) posterior mean
Keyword(3) reference prior
Keyword(4) moment matching prior
1st Author's Name Takenori Sakumura
1st Author's Affiliation Hosei University(Hosei Univ.)
2nd Author's Name Takemi Yanagimoto
2nd Author's Affiliation The Institute of Statistical Mathematics(ISM)
Date 2021-07-17
Paper # R2021-16
Volume (vol) vol.121
Number (no) R-115
Page pp.pp.1-6(R),
#Pages 6
Date of Issue 2021-07-10 (R)