HYBRID EVENT: You Can Participate In Person At Macau, China Or Virtually From Your Home Or Work
ICMPMSM · Registering as Listener

International Conference on Multivariate Probability and Statistical Methods

28–29 May 2027 Macau, China Standard / Physical Participation
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$135
virtual · $175 in person
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1. Policy on Cancellations & Refunds :

  • A full refund is possible only if the cancellation request is submitted at least 70 days before the conference, with formal paperwork completed at least 60 days prior.
  • If cancellation occurs between 60 and 30 days before the event, partial refunds may be granted based on administrative costs incurred.
  • Cancellations made within 30 days of the event are non-refundable, though participants will receive a credit valid for one year.
  • Registrations made less than 30 days before the event are not eligible for refunds, but may be transferred to another ISIT conference.
  • Since this conference is hybrid format, the organizer reserves the right to conduct the event either in-person or virtually. Please note that no refunds will be issued due to changes in the event format.
  • Virtual registration fees are non-refundable. A credit will instead be issued for use at a future conference event.

2. Participation & Registration Requirements :

  • To attend an ISIT event, participants must complete the registration process within the stipulated time.
  • The event schedule, venue, and format are subject to changes at the discretion of the organizers, with prior notice sent via email.
  • ISIT is not liable for any financial losses resulting from changes in event details.
  • Fees paid for registration are strictly non-refundable.
  • If the primary author cannot participate, a co-author may attend instead, but refunds will not be granted for non-attendance.

3. Submission & Publication Norms :

  • Researchers submitting papers to ISIT must ensure their institution or supervisor is aware of their submission.
  • Each submission is subject to a rigorous peer review before being accepted for presentation.
  • Only papers linked to a completed registration will be included in conference proceedings.
  • The submitting author is considered the primary author; ISIT does not verify individual authorship claims.
  • If any concerns regarding authorship arise and are validated, the paper will be withdrawn without reconsideration.
  • Once a paper is removed, it cannot be reintroduced into any ISIT publication.

4. Travel & Accommodation Responsibilities :

  • Attendees are responsible for making their own travel and lodging arrangements.
  • ISIT does not provide logistical assistance for travel or accommodation.
  • The organization bears no responsibility for expenses incurred due to conference modifications or rescheduling.

5. Visa & Invitation Letter Policy :

  • Attendees are responsible for making their own travel and lodging arrangements.
  • ISIT does not provide logistical assistance for travel or accommodation.
  • The organization bears no responsibility for expenses incurred due to conference modifications or rescheduling.
  • ISIT does not engage directly with consulates or embassies on behalf of attendees.
  • Participants must handle their own visa applications and processes.
  • Important Information Regarding Invitation Letters:
    • The invitation letter is provided solely for conference attendance and does not serve as a document for immigration, employment, or residency purposes.
    • The letter assists in visa applications but does not guarantee visa approval.
    • ISIT holds no responsibility for visa denials or processing delays, and all related costs are borne by the applicant.
    • Any alterations or unauthorized use of the invitation letter will result in its invalidation and possible cancellation of conference participation.
    • Legal action may be pursued if the document is misused.
    • By accepting the invitation letter, attendees agree to comply with international travel regulations and ethical participation standards.

6. Registration Transfers :

  • Registrations may be transferred to another individual from the same institution if the original participant cannot attend.
  • Transfer requests must be made via email to [email protected] with necessary details and supporting documents.
  • Transfers must be requested at least 14 days before the event; otherwise, they will not be accommodated.
  • Transferred registrations are not eligible for refunds.

7. General Considerations :

  • Any modifications or cancellations must be communicated in writing to [email protected].
  • Registration confirms acknowledgment and acceptance of these policies.
  • ISIT does not initiate automatic transactions; all payments are voluntarily completed by registrants.
  • Once registered, participants must submit a conference registration form within three days for confirmation.
  • Travel plans should only be finalized after receiving the official conference itinerary, which will be shared 15 days before the event.

8. Conference Programme and Participation Policy :

  • Presentations from different but relevant academic areas may be combined by the Organiser within an interdisciplinary or multidisciplinary programme to encourage cross-disciplinary understanding, interaction, and future research partnerships.
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What you'll hear about

Session tracks covered across the event.
View all 11 tracks →
This track focuses on recent developments in multivariate probability theory, emphasizing theoretical frameworks and innovative approaches. Contributions that explore the implications of multivariate distributions in various applications are particularly encouraged.
This session will explore statistical methodologies tailored for high-dimensional datasets, including challenges and solutions in estimation and inference. Topics such as variable selection, regularization techniques, and model evaluation will be discussed.
This track aims to bridge the gap between machine learning and traditional statistical methods, highlighting how these fields can complement each other. Papers that demonstrate the application of machine learning algorithms in statistical contexts are welcome.
This session will delve into advanced regression techniques applicable to multivariate data, including generalized linear models and multivariate adaptive regression splines. Contributions that address model diagnostics and validation in complex scenarios are encouraged.
This track will cover innovative clustering and classification methods that enhance data interpretation and decision-making. Emphasis will be placed on algorithmic advancements and their practical applications in various domains.
This session will focus on dimension reduction methods, such as Principal Component Analysis and Factor Analysis, that facilitate the simplification of complex datasets. Papers that demonstrate the effectiveness of these techniques in real-world applications are encouraged.
This track will explore the role of simulation in probability and statistical methods, including Monte Carlo simulations and bootstrapping. Contributions that showcase novel simulation techniques and their applications in empirical research are welcome.
This session will address the challenges posed by big data in statistical analysis and present innovative solutions. Topics may include data management, processing techniques, and the integration of statistical methods with big data technologies.
This track will highlight computational approaches in statistics, focusing on algorithm development and implementation. Papers that discuss the application of computational methods in solving complex statistical problems are particularly encouraged.
This session will explore the intersection of predictive analytics and multivariate statistical methods, emphasizing model development and validation. Contributions that demonstrate the application of predictive models in various fields are welcome.
This track will showcase the application of statistical methods in diverse research fields, highlighting case studies and empirical findings. Contributions that illustrate the impact of applied statistics on decision-making and policy formulation are encouraged.