Open Science Research Excellence

ICABCS 2021 : International Conference on Approximate Bayesian Computation in Science

Madrid, Spain
March 25 - 26, 2021

Conference Code: 21ES03ICABCS

Conference Proceedings

All submitted conference papers will be blind peer reviewed by three competent reviewers. The peer-reviewed conference proceedings are indexed in the Open Science Index, Google Scholar, Semantic Scholar, Zenedo, OpenAIRE, BASE, WorldCAT, Sherpa/RoMEO, and other index databases. Impact Factor Indicators.

Special Journal Issues

ICABCS 2021 has teamed up with the Special Journal Issue on Approximate Bayesian Computation in Science. A number of selected high-impact full text papers will also be considered for the special journal issues. All submitted papers will have the opportunity to be considered for this Special Journal Issue. The paper selection will be carried out during the peer review process as well as at the conference presentation stage. Submitted papers must not be under consideration by any other journal or publication. The final decision for paper selection will be made based on peer review reports by the Guest Editors and the Editor-in-Chief jointly. Selected full-text papers will be published online free of charge.

Conference Sponsor and Exhibitor Opportunities

The Conference offers the opportunity to become a conference sponsor or exhibitor. To participate as a sponsor or exhibitor, please download and complete the Conference Sponsorship Request Form.

Important Dates

Abstracts/Full-Text Paper Submission Deadline   February 15, 2021
Notification of Acceptance/Rejection   March 1, 2021
Final Paper (Camera Ready) Submission & Early Bird Registration Deadline   February 26, 2021
Conference Dates   March 25 - 26, 2021

Important Notes

Please ensure your submission meets the conference's strict guidelines for accepting scholarly papers. Downloadable versions of the check list for Full-Text Papers and Abstract Papers.

Please refer to the Paper Submission GUIDE before submitting your paper.

Selected Conference Papers

1) Comparison of Methods of Estimation for Use in Goodness of Fit Tests for Binary Multilevel Models
I. V. Pinto, M. R. Sooriyarachchi
2) Modelling Hydrological Time Series Using Wakeby Distribution
Ilaria Lucrezia Amerise
3) Forecasting the Volatility of Geophysical Time Series with Stochastic Volatility Models
Maria C. Mariani, Md Al Masum Bhuiyan, Osei K. Tweneboah, Hector G. Huizar
4) Development of an Automatic Calibration Framework for Hydrologic Modelling Using Approximate Bayesian Computation
A. Chowdhury, P. Egodawatta, J. M. McGree, A. Goonetilleke
5) A Stochastic Diffusion Process Based on the Two-Parameters Weibull Density Function
Meriem Bahij, Ahmed Nafidi, Boujemâa Achchab, Sílvio M. A. Gama, José A. O. Matos
6) An Estimating Parameter of the Mean in Normal Distribution by Maximum Likelihood, Bayes, and Markov Chain Monte Carlo Methods
Autcha Araveeporn
7) Alternative Robust Estimators for the Shape Parameters of the Burr XII Distribution
F. Z. Doğru, O. Arslan
8) Multinomial Dirichlet Gaussian Process Model for Classification of Multidimensional Data
Wanhyun Cho, Soonja Kang, Sangkyoon Kim, Soonyoung Park
9) A New Distribution and Application on the Lifetime Data
Gamze Ozel, Selen Cakmakyapan
10) Exponentiated Transmuted Weibull Distribution A Generalization of the Weibull Distribution
Abd El Hady N. Ebraheim
11) The Long Run Relationship between Exports and Imports in South Africa: Evidence from Cointegration Analysis
Sagaren Pillay
12) ML-Based Blind Frequency Offset Estimation Schemes for OFDM Systems in Non-Gaussian Noise Environments
Keunhong Chae, Seokho Yoon
13) Frequency Offset Estimation Schemes Based On ML for OFDM Systems in Non-Gaussian Noise Environments
Keunhong Chae, Seokho Yoon
14) Zero Inflated Models for Overdispersed Count Data
Y. N. Phang, E. F. Loh
15) Inferences on Compound Rayleigh Parameters with Progressively Type-II Censored Samples
Abdullah Y. Al-Hossain

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