Fast Gibbs sampling for the local and global trend Bayesian exponential smoothing model

被引：0
|
作者：
Long, Xueying
Schmidt, Daniel F.
Bergmeir, Christoph
Smyl, Slawek
机构：
来源：
arXiv |
关键词：
Compilation and indexing terms; Copyright 2025 Elsevier Inc;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Machine learning
引用
收藏
相关论文
共 50 条
  • [1] Bayesian Estimation of the DINA Model With Gibbs Sampling
    Culpepper, Steven Andrew
    JOURNAL OF EDUCATIONAL AND BEHAVIORAL STATISTICS, 2015, 40 (05) : 454 - 476
  • [2] Fast Gibbs sampling for high-dimensional Bayesian inversion
    Lucka, Felix
    INVERSE PROBLEMS, 2016, 32 (11)
  • [3] Gibbs sampling for a Bayesian hierarchical general linear model
    Johnson, Alicia A.
    Jones, Galin L.
    ELECTRONIC JOURNAL OF STATISTICS, 2010, 4 : 313 - 333
  • [4] Bayesian models for multiple local sequence alignment and Gibbs sampling strategies
    Liu, JS
    Neuwald, AF
    Lawrence, CE
    JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 1995, 90 (432) : 1156 - 1170
  • [5] A Fully Bayesian Inference with Gibbs Sampling for Finite and Infinite Discrete Exponential Mixture Models
    Su, Xuanbo
    Zamzami, Nuha
    Bouguila, Nizar
    APPLIED ARTIFICIAL INTELLIGENCE, 2022, 36 (01)
  • [6] Bayesian analysis of stochastic volatility model using Gibbs sampling
    Zhu, Hui-Ming
    Li, Su-Fang
    Yu, Ke-Ming
    Zeng, Hui-Fang
    Lin, Jing
    2008, Hunan University (35):
  • [7] Bayesian estimation of a multilevel IRT model using gibbs sampling
    Jean-Paul Fox
    Cees A. W. Glas
    Psychometrika, 2001, 66 : 271 - 288
  • [8] Bayesian estimation of a multilevel IRT model using Gibbs sampling
    Fox, JP
    Glas, CAW
    PSYCHOMETRIKA, 2001, 66 (02) : 271 - 288
  • [9] Exponential Sampling: A Gibbs Phenomena Removal Model for Finite Rate of Innovation Sampling Framework
    Hui, Qian
    Lun, Yu
    MECHANICAL AND ELECTRONICS ENGINEERING III, PTS 1-5, 2012, 130-134 : 470 - 474
  • [10] A Bayesian model for local smoothing in kernel density estimation
    Brewer, MJ
    STATISTICS AND COMPUTING, 2000, 10 (04) : 299 - 309
12345