HYBRID EVENT: You can participate in person at Adelaide, Australia or Virtually from your home or work
Scholars Forum Listener Registration

International Conference on Bayesian Modeling and Inference in Statistics (ICBMIS - 26)

3rd - 4th October 2026 Adelaide, Australia
Hybrid Access Invitation Support

Join researchers, academicians, professionals, and industry experts from around the world to exchange knowledge, engage in academic discussions, and advance solutions for a sustainable future.

Academic Participation Experience

Engage in high-quality sessions, gain insights from domain experts, and be part of meaningful academic discussions.

Official Invitation Letter Available

Registered listeners can request an official invitation letter after successful registration confirmation.

Benefits of Registering as Listener
Access to All Conference Sessions

Attend keynote, plenary and technical sessions across relevant tracks.

Networking Opportunities

Connect with global researchers, professionals and domain experts.

Certificate of Participation

Receive an official participation certificate after successful attendance.

Invitation Support

Request invitation letter support after confirmed registration.

Conference Materials

Access available abstracts, session resources and digital materials.

Expert Insights

Gain knowledge from leading speakers and field specialists.

2 Participant Details
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4 Terms & Condition
Conference Programme and Participation Policy:

The Organiser may create shared sessions for research themes spanning more than one discipline, enabling participants to exchange knowledge, build professional relationships, and identify new opportunities for academic cooperation.

Refund, Cancellation, Postponement, Travel and Transfer of Registration:
Refund Policy:

If the registrant is unable to attend and is not in a position to transfer his/her participation to another person or event, then the following refund arrangements apply: Keeping given advance payments towards Venue, Printing, Shipping, Hotels, and other overheads, we had to keep the Refund Policy as the following slabs:

1. Cancellations made before 60 days of the conference are eligible for a full refund, subject to a $100 cancellation charge.
2. Cancellations made within 60-30 days of the conference are eligible for a 50% payment refund.
3. Cancellations made within 30 days of the conference are not eligible for a refund.
4. Virtual Participation registrations are non-refundable.

(a) The above refund policies are applicable only if the registrant has not received the official invitation letter for participation in the event, If the client receives the conference invitation letter but cannot attend the conference, no refund will be provided.

(b) If the client cannot attend the conference for any personal reasons, the registration fee is not refundable. However, the fee will be considered as a credit to participate in any of our international conferences within one year from the date of registration.

(c) In the event of a visa denial, travel reasons, or natural calamities preventing attendance, the registration fee will not be refunded. However, the fee will be considered as a credit to participate in any of our international conferences within one year from the date of registration.

(d) Since this conference is hybrid, the organizer reserves the right to conduct it in any format, physical or virtual. Refunds will not be provided for format changes.

(e) For participants who register close to the conference date or after the standard registration deadline, The registration will be considered for virtual participation only, as the conference is in hybrid mode. However, you will be eligible to attend one more international conference based on your registration category.

Cancellation Policy:

If the organizer cancels this event for any reason, you will receive a credit for 100% of the registration fee paid. You may use this credit for another event which must occur within one year from the date of cancellation.

Postponement of Event:

If the organizer postpones an event for any reason and you are unable or unwilling to attend on rescheduled dates, you will receive a credit for 100% of the registration fee paid. You may use this credit for another event which must occur within one year from the date of postponement.

Travel and Accommodation Responsibilities:

a) The responsibility for making and managing travel arrangements, including flights, transportation, and accommodation, lies solely with the individual participant.

b) In the event of any changes to the conference format, cancellation, or venue adjustments, the organizers cannot assume responsibility for any costs incurred by participants for travel or accommodation.

Transfer of registration:

All fully paid registrations are transferable to other persons from the same organization if the registered person is unable to attend the event. Transfers must be made by the registered person in writing to [email protected]. Details must include the full name of the replacement person, their title, contact phone number, and email address. All other registration details will be assigned to the new person unless otherwise specified. Registration can be transferred from one conference to another conference of the same organizer if the registrant is unable to attend one of the conferences

However, Registration cannot be transferred if it is intimated within 14 days of the respective conference. The transferred registrations will not be eligible for Refund.

Visa Information:

The organizer will not directly contact embassies and consulates on behalf of visa applicants. All delegates or invitees should take responsibility for their visa and travel arrangements. Important note for failed visa applications: Visa issues cannot come under the consideration of the cancellation policy of the organizer, including the inability to obtain a visa.

N.B:

All cancellations or modifications of registration must be made in writing to [email protected]

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Conference Session Tracks

Aligned with United Nations Sustainable Development Goals

Our conference tracks support global knowledge exchange, innovation, and sustainable development priorities across diverse disciplines.

SDG 3 SDG 4 SDG 9 SDG 11
01 Advancements in Bayesian Modeling Techniques
This track focuses on the latest developments in Bayesian modeling methodologies, emphasizing novel approaches and theoretical advancements. Researchers are encouraged to present innovative techniques that enhance the flexibility and applicability of Bayesian models.
02 Statistical Inference in Complex Data Structures
This session aims to explore statistical inference methods tailored for complex data structures, including hierarchical and multilevel models. Contributions that address the challenges of inference in high-dimensional and structured data are particularly welcome.
03 Machine Learning and Bayesian Approaches
This track investigates the intersection of machine learning and Bayesian inference, highlighting how Bayesian methods can enhance learning algorithms. Topics may include Bayesian neural networks, probabilistic graphical models, and uncertainty quantification in machine learning.
04 Predictive Modeling with Bayesian Frameworks
This session is dedicated to the application of Bayesian frameworks in predictive modeling across various domains. Papers that demonstrate the effectiveness of Bayesian methods in improving prediction accuracy and model interpretability are encouraged.
05 Markov Chains and Monte Carlo Methods
This track delves into the theoretical and practical aspects of Markov chains and Monte Carlo methods in Bayesian statistics. Contributions that explore new algorithms, convergence properties, and applications in complex models are sought.
06 Bayesian Networks and Graphical Models
This session focuses on the development and application of Bayesian networks and other graphical models for statistical inference. Researchers are invited to present work that advances the understanding of dependencies and causal relationships in data.
07 Prior Distributions and Posterior Estimation
This track examines the role of prior distributions in Bayesian analysis and their impact on posterior estimation. Papers that propose new priors, discuss prior sensitivity, or explore empirical Bayes methods are particularly relevant.
08 Computational Statistics and Bayesian Inference
This session highlights computational techniques that facilitate Bayesian inference, including algorithms for high-dimensional data and large-scale models. Contributions that address computational challenges and improve efficiency in Bayesian analysis are encouraged.
09 Quantitative Methods in Bayesian Research
This track focuses on quantitative methods that enhance Bayesian research, including statistical techniques and data analysis strategies. Papers that showcase innovative applications of quantitative methods in various fields are welcome.
10 Applications of Bayesian Inference in Real-World Problems
This session seeks to highlight the practical applications of Bayesian inference across diverse fields such as healthcare, finance, and environmental science. Researchers are invited to share case studies and empirical research that demonstrate the utility of Bayesian methods.
11 Emerging Trends in Bayesian Data Science
This track explores emerging trends and future directions in Bayesian data science, including the integration of artificial intelligence and big data analytics. Contributions that discuss innovative applications and theoretical advancements in this rapidly evolving field are encouraged.