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ICASMP · Registering as Listener
International Conference on Advanced Statistical Methods in Probability Theory
2–3 Nov 2026
Hamburg, Germany
Standard / Physical
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$
135
virtual · $195 in person
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Supporting global research
Connect with researchers across 30+ countries
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$195
On-site keynotes, talks, workshops, networking, conference kit and certificate.
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$135
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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 →
01
Innovations in Bayesian Statistics
This track focuses on the latest advancements in Bayesian methodologies and their applications in various fields. Researchers are encouraged to present novel approaches to Bayesian inference, model selection, and computational techniques.
02
Statistical Inference in High Dimensions
This session will explore statistical inference methods tailored for high-dimensional data settings. Topics may include variable selection, dimensionality reduction, and the challenges of overfitting in complex models.
03
Random Processes and Their Applications
This track aims to delve into the theory and applications of random processes across different domains. Contributions may include stochastic modeling, time series analysis, and applications in finance and engineering.
04
Computational Statistics and Simulation Techniques
This session will highlight innovative computational techniques and simulation methods used in statistical analysis. Participants are invited to share advancements in Monte Carlo methods, bootstrapping, and other resampling techniques.
05
Machine Learning and Statistical Methods
This track will bridge the gap between traditional statistical methods and modern machine learning techniques. Presentations may focus on the integration of statistical theory with machine learning algorithms for improved predictive performance.
06
Data Science and Predictive Analytics
This session will cover the intersection of data science and statistical methodologies for predictive analytics. Topics of interest include data-driven decision-making, model evaluation, and the role of big data in statistical inference.
07
Risk Analysis and Quantitative Methods
This track will focus on the application of quantitative methods in risk analysis across various sectors. Researchers are invited to discuss methodologies for risk assessment, management, and mitigation using statistical tools.
08
Forecasting Techniques in Statistics
This session will explore advanced forecasting methods and their statistical underpinnings. Contributions may include time series forecasting, trend analysis, and the evaluation of forecasting accuracy.
09
Optimization in Statistical Modeling
This track will examine optimization techniques used in the development and refinement of statistical models. Topics may include parameter estimation, model fitting, and the use of optimization algorithms in statistical inference.
10
Algorithms in Statistical Analysis
This session will focus on the development and application of algorithms in statistical analysis. Participants are encouraged to present new algorithms that enhance computational efficiency and accuracy in statistical modeling.
11
Applied Mathematics in Probability Theory
This track will explore the role of applied mathematics in advancing probability theory. Contributions may include theoretical developments, applications in real-world problems, and interdisciplinary approaches to probability.