Statistical Inference
Parametric and non-parametric inference, hypothesis testing, estimation theories, and asymptotic properties.
Machine Learning
Deep learning architectures, reinforcement learning, statistical learning theory, and neural computations.
Stochastic Processes
Random walk analysis, Markov processes, point processes, and stochastic modeling in physics and finance.
Conference Research Areas
The WSMC conference covers a wide range of topics in statistics, mathematics, and computation, fostering interdisciplinary innovation.
Are you conducting research in these or related domains? We invite you to share your findings and join our global academic community.
Bayesian Methods
Hierarchical modeling, Markov Chain Monte Carlo (MCMC), Variational Inference, and objective Bayesian analysis.
Numerical Analysis
Computational algorithms for linear algebra, differential equations, optimization, and error analysis.
Computational Statistics
Big data analytics, high-performance computing, resampling methods, and parallelized statistical algorithms.
Submit Your Abstract
We invite researchers and practitioners to contribute to the WSMC conference by submitting abstracts that explore the latest developments in Statistical Inference, Bayesian Methods, Machine Learning, Numerical Analysis, and their diverse applications. Join our global community in shaping the future of mathematics and computation.