3 citations · 3 across the 7 of their papers we have counts for
7 papers
Differentially Private Modeling of Disease Transmission within Human Contact Networks
Shlomi Hod, Debanuj Nayak, Jason R. Gantenberg +3
Epidemiologic studies of infectious diseases often rely on models of contact networks to capture the complex interactions that govern disease spread, and ongoing projects aim to va…
nhppp: Simulating Nonhomogeneous Poisson Point Processes in R
Thomas A. Trikalinos, Yuliia Sereda
We introduce the `nhppp' package for simulating events from one-dimensional non-homogeneous Poisson point processes (NHPPPs) in R fast and with a small memory footprint. We develop…
Appraising the Potential Uses and Harms of LLMs for Medical Systematic Reviews
Hye Sun Yun, Iain J. Marshall, Thomas A. Trikalinos +1
Medical systematic reviews play a vital role in healthcare decision making and policy. However, their production is time-consuming, limiting the availability of high-quality and up…
Self-Repetition in Abstractive Neural Summarizers
Nikita Salkar, Thomas Trikalinos, Byron C. Wallace +1
We provide a quantitative and qualitative analysis of self-repetition in the output of neural summarizers. We measure self-repetition as the number of n-grams of length four or lon…
BayCANN: Streamlining Bayesian Calibration with Artificial Neural Network Metamodeling
Hawre Jalal, Fernando Alarid-Escudero
Purpose: Bayesian calibration is theoretically superior to standard direct-search algorithm because it can reveal the full joint posterior distribution of the calibrated parameters…
Active learning for efficiently training emulators of computationally expensive mathematical models
Alexandra G. Ellis, Rowan Iskandar, Christopher H. Schmid +2
An emulator is a fast-to-evaluate statistical approximation of a detailed mathematical model (simulator). When used in lieu of simulators, emulators can expedite tasks that require…
Constructions for a bivariate beta distribution
Ingram Olkin, Thomas A. Trikalinos
The beta distribution is a basic distribution serving several purposes. It is used to model data, and also, as a more flexible version of the uniform distribution, it serves as a p…