Free tools have lowered the cost of marketing mix modeling, but data quality and human expertise remain the biggest barriers ...

Open-source tools have made MMM more accessible, but reliable results still depend on clean data, thoughtful modeling, and ...

Offered by the Department of Mathematical Sciences at the Faculty of Science and Technology The course gives an introduction to Bayesian statistical modelling and inference, focusing on computational ...

If you’ve been planning to step up your data science game for the new year, the 2026 NPTEL course lineup from India’s top IITs is honestly a goldmine. These courses cover the backbone of modern ...

PyVBMC is a Python implementation of the Variational Bayesian Monte Carlo (VBMC) algorithm for posterior and model inference, previously implemented in MATLAB. VBMC is an approximate inference method ...

We propose an approach for joint trajectory analysis of multiple single-cell sequencing data, combining Bayesian hierarchical models with variational autoencoders. Based on a coherent statistical ...

Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...