1 citations · 1 across the 3 of their papers we have counts for
4 papers
Demonstrating CBM Capabilities by Baryon Reconstruction in Ni+Ni Collisions with the mCBM Experiment at SIS18 of GSI/FAIR
CBM Collaboration, A. Agarwal, Z. Ahammed +338
The Compressed Baryonic Matter (CBM) experiment at the upcoming Facility for Antiproton and Ion Research (FAIR) is a high-rate fixed-target experiment designed to investigate nucle…
A Bayesian Spatio-Temporal Extension to Poisson Auto-Regression: Modeling the Disease Infection Rate of COVID-19 in England
Pierfrancesco Alaimo Di Loro, Dankmar Boehning, Sujit Sahu
The COVID-19 pandemic provided many modeling challenges to investigate the evolution of an epidemic process over areal units. A suitable encompassing model must describe the spatio…
Bayesian hierarchical modelling approaches for combining information from multiple data sources to produce annual estimates of national immunization coverage
C. Edson Utazi, Warren C. Jochem, Marta Gacic-Dobo +4
Estimates of national immunization coverage are crucial for guiding policy and decision-making in national immunization programs and setting the global immunization agenda. WHO and…
A Bayesian Perspective of Statistical Machine Learning for Big Data
Rajiv Sambasivan, Sourish Das, Sujit K Sahu
Statistical Machine Learning (SML) refers to a body of algorithms and methods by which computers are allowed to discover important features of input data sets which are often very…