Objective Bayesian Estimation for Tweedie Exponential Dispersion Process
An objective Bayesian method for the Tweedie Exponential Dispersion (TED) process model is proposed in this paper. The TED process is a generalized stochastic process, including some famous stochastic processes (e.g., Wiener, Gamma, and Inverse Gaussian processes) as special cases. This characterist...
Saved in:
Main Authors: | Weian Yan, Shijie Zhang, Weidong Liu, Yingxia Yu |
---|---|
Format: | article |
Language: | EN |
Published: |
MDPI AG
2021
|
Subjects: | |
Online Access: | https://doaj.org/article/b9b49570986543abae5e7311a19b3f30 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Bayesian Inference under Small Sample Sizes Using General Noninformative Priors
by: Jingjing He, et al.
Published: (2021) -
Analysis for Xgamma Parameters of Life under Type-II Adaptive Progressively Hybrid Censoring with Applications in Engineering and Chemistry
by: Ahmed Elshahhat, et al.
Published: (2021) -
Use of external evidence for design and Bayesian analysis of clinical trials: a qualitative study of trialists’ views
by: Gemma L. Clayton, et al.
Published: (2021) -
Self-Adaptive Acceptance Rate-Driven Markov Chain Monte Carlo Method Applied to the Study of Magnetic Nanoparticles
by: Juan Camilo Zapata, et al.
Published: (2021) -
Parameter optimization and uncertainty assessment for rainfall frequency modeling using an adaptive Metropolis–Hastings algorithm
by: Xingpo Liu, et al.
Published: (2021)