** Fraud Prevention Notice      Be cautious of scams involving cloned emails and fake phone numbers requesting conference or journal fees. Only make payments via Science Net's official event platform and notify us immediately at [email protected] if you suspect fraud.
Science Net
ICHDAAM · Registering as Listener

International Conference on High-Dimensional Analysis and Applied Mathematics

5–6 Aug 2026 Oruro, Bolivia Standard / Virtual Participation
Listener Registration From
$239
virtual · $239 in person
Registration Benefits:
Official invitation letter
Issued automatically after registration
Certificate & digital materials
Get certificate, slides and resource materials
Supporting global research
Connect with researchers across 30+ countries

1Select registration mode

Prices are shown before tax and bank charges — no surprises at checkout.

All sessions Networking Certificate Invitation letter Conference kit

2Your details

We only need what's required to register and email your confirmation. Everything else is optional.


3Coupon Code (If Any)

SPECIAL OFFER
10% OFF up to USD 30
USE COUPON CODE
FAST10
Available
Apply

Payments encrypted & processed securely. Refundable up to 14 days before the event.

Conference Session Tracks

SDG-Aligned Research Themes

The ICHDAAM conference tracks support global knowledge exchange, innovation and sustainable development priorities across Applied Mathematics and related disciplines.

01 Advancements in High-Dimensional Statistical Modeling +
This track focuses on innovative approaches to statistical modeling in high-dimensional settings. Participants will explore methodologies that enhance model interpretability and performance in complex data environments.
02 Machine Learning Techniques for Big Data Analytics +
This session will delve into the application of machine learning algorithms for analyzing large-scale datasets. Emphasis will be placed on the development of scalable methods that maintain accuracy and efficiency.
03 Optimization Methods in Applied Mathematics +
This track will cover recent advancements in optimization techniques relevant to applied mathematics. Discussions will include both theoretical developments and practical applications across various domains.
04 Computational Statistics and Simulation Techniques +
Participants will engage with cutting-edge computational methods and simulation strategies in statistics. The focus will be on their application to real-world problems and the enhancement of statistical inference.
05 Probability Theory in High-Dimensional Spaces +
This session will explore the implications of probability theory in high-dimensional frameworks. Topics will include concentration inequalities, limit theorems, and their applications in statistical inference.
06 Numerical Methods for Complex Data Analysis +
This track will highlight numerical techniques designed for the analysis of complex datasets. Participants will discuss the integration of numerical methods with statistical models to improve data interpretation.
07 Multivariate Analysis and Its Applications +
This session will focus on multivariate analysis techniques and their practical applications in various fields. Participants will share insights on handling multivariate data and extracting meaningful conclusions.
08 Algorithms for Predictive Analytics +
This track will examine the development and application of algorithms specifically designed for predictive analytics. Discussions will include the challenges of model selection and validation in high-dimensional contexts.
09 Artificial Intelligence in Statistical Research +
This session will explore the intersection of artificial intelligence and statistical research methodologies. Emphasis will be placed on how AI can enhance statistical modeling and data analysis.
10 Quantitative Methods in Applied Statistics +
This track will cover quantitative methodologies that underpin applied statistical practices. Participants will discuss the role of quantitative analysis in decision-making and research applications.
11 Inference Techniques in High-Dimensional Data +
This session will focus on inference methods tailored for high-dimensional datasets. Participants will explore challenges and solutions related to hypothesis testing and confidence interval construction in such contexts.

10% OFF

ON THE TOTAL FEE

Input this Professional Credit at checkout for a max $30.00 offset.

FAST10

10% OFF

ON THE TOTAL FEE

Input this Professional Credit at checkout for a max $30.00 offset.

FAST10