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Hybrid Event

4th - 5th September 2026 | Darwin, Australia

International Conference on Time Series Analysis and Stochastic Modeling (ICTSASM - 26)

4

Days

4

Hrs

07

Min

02

Sec

Call For Paper

The (ICTSASM) is dedicated to advancing research excellence by bringing together leading scholars, scientists, and professionals from across the globe. It provides a platform for the dissemination of high-quality research and innovative methodologies.

With a strong focus on Probability Theory, the conference promotes research that contributes to academic depth, practical insights, and interdisciplinary knowledge integration.

Authors are invited to submit papers addressing, but not limited to, the following areas:

01
Time series forecasting techniques
02
Stochastic modeling of time-dependent data
03
Applications in financial time series analysis
04
Seasonal patterns in time series data
05
Statistical methods for time series analysis
06
ARIMA models and their applications
07
Longitudinal data analysis techniques
08
Nonlinear time series modeling approaches
09
Time series analysis in environmental studies
10
Machine learning for time series prediction
11
Causal inference in time series data
12
Time series analysis in healthcare
13
Multivariate time series modeling techniques
14
Applications in signal processing
15
Real-time analysis of streaming data
16
Time series anomaly detection methods
17
Bayesian approaches to time series
18
Time series analysis in social sciences
19
Forecasting with exogenous variables
20
Applications in supply chain management

Peer Review Process

All submissions evaluated through structured peer-review to ensure academic rigor. Accepted papers may be considered for high-quality journals.

Registration Details

Secure your participation early. Limited slots are allocated on a first-come, first-served basis.

Publication Opportunities

High-quality submissions prioritized for publication in recognized journals and proceedings.

2026 UPDATE

Consistent Academic Support

Science Net ensures that research activities continue without interruption in the current global situation. Participants can engage through digital and hybrid conference formats.