Parameter estimation by a Markov chain Monte Carlo technique for the Candy model

被引：1
|
作者：
Descombes, X [1 ]
van Lieshout, MNM [1 ]
Stoica, R [1 ]
Zerubia, J [1 ]
机构：
[1] INRIA, CNRS UNSA INRIA Joint Res Grp, F-06902 Sophia Antipolis, France
来源：
2001 IEEE WORKSHOP ON STATISTICAL SIGNAL PROCESSING PROCEEDINGS | 2001年
关键词：
D O I：
10.1109/SSP.2001.955212
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper presents a parameter estimation method for the Candy model based on Monte Carlo approximation of the likelihood function. In order to produce such an approximation a Metropolis-Hastings style algorithm [3] for simulating the Candy model [10, 11] is introduced.
引用
收藏
页码：22 / 25
页数：4
相关论文
共 50 条
  • [1] Fast and reliable Markov chain Monte Carlo technique for cosmological parameter estimation
    Dunkley, J
    Bucher, M
    Ferreira, PG
    Moodley, K
    Skordis, C
    MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY, 2005, 356 (03) : 925 - 936
  • [2] Parameter Estimation in Population Balance through Bayesian Technique Markov Chain Monte Carlo
    Moura, Carlos H. R.
    Viegas, Bruno M.
    Tavares, Maria R. M.
    Macedo, Emanuel N.
    Estumano, Diego C.
    Quaresma, Joao N. N.
    JOURNAL OF APPLIED AND COMPUTATIONAL MECHANICS, 2021, 7 (02): : 890 - 901
  • [3] Application of the ecosystem model and Markov Chain Monte Carlo for parameter estimation and productivity prediction
    Li, Weizhong
    Peng, Changhui
    Zhou, Xiaolu
    Sun, Jianfeng
    Zhu, Qiuan
    Wu, Haibin
    St-Onge, Benoit
    ECOSPHERE, 2015, 6 (12):
  • [4] Markov chain Monte Carlo approach to parameter estimation in the FitzHugh-Nagumo model
    Jensen, Anders Chr.
    Ditlevsen, Susanne
    Kessler, Mathieu
    Papaspiliopoulos, Omiros
    PHYSICAL REVIEW E, 2012, 86 (04):
  • [5] A Markov Chain Monte Carlo technique for parameter estimation and inference in pesticide fate and transport modeling
    Boulange, Julien
    Watanabe, Hirozumi
    Akai, Shinpei
    ECOLOGICAL MODELLING, 2017, 360 : 270 - 278
  • [6] An Improved Markov Chain Monte Carlo Scheme for Parameter Estimation Analysis
    Liu, Fang
    Pan, Hao
    Jiang, Desheng
    2008 INTERNATIONAL SYMPOSIUM ON INTELLIGENT INFORMATION TECHNOLOGY APPLICATION, VOL I, PROCEEDINGS, 2008, : 702 - +
  • [7] Parameter estimation in deformable models using Markov chain Monte Carlo
    Chalana, V
    Haynor, DR
    Sampson, PD
    Kim, YM
    IMAGE PROCESSING - MEDICAL IMAGING 1997, PTS 1 AND 2, 1997, 3034 : 287 - 298
  • [8] Seismic parameter estimation using Markov Chain Monte Carlo Method
    Zhang, Guang-Zhi
    Wang, Dan-Yang
    Yin, Xing-Yao
    Shiyou Diqiu Wuli Kantan/Oil Geophysical Prospecting, 2011, 46 (04): : 605 - 609
  • [9] Markov chain Monte Carlo methods for parameter estimation of the modified Weibull distribution
    Jiang, H.
    Xie, M.
    Tang, L. C.
    JOURNAL OF APPLIED STATISTICS, 2008, 35 (06) : 647 - 658
  • [10] Estimating reaction model parameter uncertainty with Markov Chain Monte Carlo
    Albrecht, Jacob
    COMPUTERS & CHEMICAL ENGINEERING, 2013, 48 : 14 - 28
12345