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Journal of Agricultural, Biological and Environmental Statistics - Call for Papers on the Hawkes Process

The Journal of Agricultural, Biological and Environmental Statistics is seeking submissions to a forthcoming Special Issue on The Hawkes Process: Theory, Methodology, Algorithms, Extension, and Applications in Environmental Sciences.

Point process models are common in research as a natural tool to describe the patterns of discrete events that occur in a continuous space, time, or a space–time domain. In recent decades, the Hawkes point-process model, which was proposed by Alan G. Hawkes in the 1970s, has become one of the most useful point processes in event-type data analysis, such as earthquakes, crimes, forest fires, terrorist attacks, society networks, genomes, etc., due to its powers in detecting the clustering effect and the positive interactions among individual events/particles. Equipped with the Hawkes process and general statistical inference tools, we can determine the potential causal relationship among discrete events, especially for nowadays, with the rapid development of observation and data-storage technologies, big data has unavoidably become a hot issue in point-process data analysis. As the Hawkes process provides us with a quick tool and general framework to quantify and forecast the clustering or the triggering effect among events, it is important for us to develop more advanced theory, methodology and algorithms related to this process and its extensions, so that we can solve the challenging problems that are encountered in its applications. 

In this special issue, we encourage researchers to submit their papers that are associated with the Hawkes process in, but not limited to, the following aspects:

  • Probability and statistical theories of the Hawkes process and its extended version
  • Statistical methodologies related to the inference of the Hawkes process, such as Bayesian method, parametric and nonparametric estimation, simulation
  • Computational algorithms related to the Hawkes process, especially machine learning and AI related
  • Applications of the Hawkes process of data analysis in environmental, biological or agricultural sciences
  • Review articles related to the history of the Hawkes process and/or any of the above aspects.


Guest Editors
Jorge Mateu (EiC)
Department of Mathematics, University Jaume I of Castellon, Spain
Email: mateu@uji.es (this opens in a new tab)

Jiancang Zhuang
Institute of Statistical Mathematics, Japan
Email: zhuangjc.backup@gmail.com (this opens in a new tab)

Feng Chen
School of Mathematics and Statistics, University of New South Wales, Australia
feng.chen@unsw.edu.au (this opens in a new tab)

Rick Schoenberg
Department of Statistics, UCLA, USA
frederic@g.ucla.edu (this opens in a new tab)

Jing (Maggie) Chen
School of Mathematics, Cardiff University, UK
chenj60@cardiff.ac.uk (this opens in a new tab)

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