MUMBAI, India, Sept. 22 -- Intellectual Property India has published a patent application (202621092381 A) filed by Vidya Vaibhav Bhatlavande; Dr. Shriram N. Kargaonkar; Deepali Sunil Akolkar; Mrs. Arti Shivanikar; Anupama Mohan Kadam; Allapurkar Renuka Subhash; Swami Abhijeet Balasaheb; and Suvarna Gopal Ranade on July 30, 2026, for System And Method For Dynamic Statistical Distribution Modelling Using A Multi-Variable Probability Engine.
Inventors include Vidya Vaibhav Bhatlavande; Dr. Shriram N. Kargaonkar; Deepali Sunil Akolkar; Mrs. Arti Shivanikar; Anupama Mohan Kadam; Allapurkar Renuka Subhash; Swami Abhijeet Balasaheb; and Suvarna Gopal Ranade.
The application for the patent was published on September 18, 2026, under issue no. 38/2026.
Abstract: The present invention relates to a computer-implemented system and method for dynamic statistical distribution modelling using a multi-variable probability engine configured to acquire heterogeneous datasets from multiple sources, preprocess the acquired data, extract statistical features, dynamically construct probabilistic relationships among multiple variables, automatically identify optimal statistical distributions, continuously update distribution parameters through adaptive probabilistic learning, estimate uncertainty and confidence measures, generate probabilistic forecasts, visualize multidimensional statistical outputs, and continuously improve modelling accuracy using historical observations and feedback mechanisms. The invention provides scalable, interpretable, computationally efficient, and adaptive probability modelling suitable for financial analytics, healthcare, industrial automation, cybersecurity, scientific research, predictive maintenance, environmental monitoring, and intelligent decision support systems. Accompanied Drawing [FIGS. 1-2]
Disclaimer: Curated by HT Syndication.
