Title:  Statistical Inference on High Dimensional Normal Mean Under Linear Inequality Constraints and Efficient Integration of Data in Meta-Analysis Abstract In this dissertation, we provide...

Title: Sparseness and regularity of Navier-Stokes flows Abstract: In a series of papers Grujic and collaborators have developed a novel regularity theory for the 3D Navier-Stokes equations...

Title: Visual Inference: A Novel Method to Make Statistical Decision Abstract: Data plots have been being used widely for exploratory data analysis, model checking and diagnosis. The question...

MSGSA invites you to a virtual event titled 'Academia and Industry- avenues after PhD'. The event will be hosted this Wednesday 9th March from 11 am to 12 pm on Google meet. We will discuss the...

Title: Networked Multi-Agent Reinforcement Learning: An Overview Abstract: Multi-agent reinforcement learning (MARL) is concerned with the sequential decision-making problems where multiple...

Title: Nonparametric estimation of heterogeneous causal effects Abstract: Heterogeneous effect estimation plays a crucial role in causal inference, with applications across medicine and social...

Title: Multiscale/multiphysics modeling: applications in ophthalmology and cardiology   Abstract: Physically-based models combine fundamental principles of physics, engineering, mathematics and...

Title: Features selections and thresholding technique in high dimensional disease progression data Abstract: Features selections and thresholding are two existing challenges in high-dimensional...

Title: Event-Triggered Control Using a Positive Systems Approach Abstract: Control systems are a class of dynamical systems that contain forcing terms. When control systems are used in...

Title: Missing Data Methods for Supervised and Unsupervised Deep Learning Tasks Abstract: Deep Learning (DL) methods have dramatically increased in popularity in recent years. While its initial...