21 August 2024
Mathematics Webinar | The Utilization of Stochastic Reconstruction in Estimating, Diagnosing and Extending the Hawkes Process Model, 12 September 2024


MDPI would like to invite all experts recognized in their fields to attend a webinar organized by our journal Mathematics (ISSN: 2227-7390) entitled—The Utilization of Stochastic Reconstruction in Estimating, Diagnosing and Extending Hawkes Process Models. The aim of the webinar is to focus on the Hawkes process model, a point process model widely used in both natural and social sciences. Its ability to examine clustering effects and positive interactions among events makes it a powerful tool for many researchers. During this talk, the ways in which stochastic reconstruction can be applied to estimate, diagnose, and enhance the Hawkes process model will be explored. This webinar will be valuable and inspiring for anyone working with these models. 

We are looking forward to seeing you at the webinar.

Webinar: The Utilization of Stochastic Reconstruction in Estimating, Diagnosing and Extending Hawkes Process Models
Date: 12 September 2024
Time: 9:00–9:50 (CEST) | 16:00–16:50 (JST)
More information: https://sciforum.net/event/Mathematics-8

This is a free webinar. After registration, you will receive a confirmation email containing information on how to join. Registrations with academic institutional email addresses will be prioritized.

Unable to attend? Register anyway and we will let you know when the recording is available for viewing.

Register for free:

Program:

Speaker/Presentation

Time in CEST

JST

Prof. Dr. Jiancang Zhuang
Chair Introduction

9:00–9:05

16:00–16:05

Prof. Dr. Jiancang Zhuang
The Utilization of Stochastic Reconstruction in Estimating, Diagnosing, and Extending Hawkes Process Models

9:05–9:35

16:05–16:35

Q&A Session

9:35–9:45

16:35–16:45

Prof. Dr. Jiancang Zhuang
Closing of Webinar

9:45–9:50

16:45–16:50

Relevant Special Issue:
Stochastic Processes and Its Applications
Edited by Dr. Elvira Di Nardo and Prof. Dr. Luis Alberiko Gil-Alana
Submission Deadline: 31 May 2025

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