activity
20122022
most citedOne-step Estimation of Networked Population Size: Respondent-Driven Capture-Recapture with Anonymity

57 citations · 97 across the 8 of their papers we have counts for

collaborators

8 papers

stat.ME2022

Improving Biomarker Based HIV Incidence Estimation in the Treatment Era

Ian E. Fellows, Wolfgang Hladik, Jeffrey W. Eaton +3

Estimating HIV-1 incidence using biomarker assays in cross-sectional surveys is important for understanding the HIV pandemic. However, the utility of these estimates has been limit…

q-bio.PE2020★ 6 cited

The COVID-19 Pandemic, Community Mobility and the Effectiveness of Non-pharmaceutical Interventions: The United States of America, February to May 2020

Ian E. Fellows, Rachel B. Slayton, Avi J. Hakim

Background: The impact of individual non-pharmaceutical interventions (NPI) such as state-wide stay-at-home orders, school closures and gathering size limitations, on the COVID-19…

stat.ME2018★ 1 cited

A New Generative Statistical Model for Graphs: The Latent Order Logistic (LOLOG) Model

Ian E. Fellows

Full probability models are critical for the statistical modeling of complex networks, and yet there are few general, flexible and widely applicable generative methods. We propose…

cs.SI2017★ 57 cited

One-step Estimation of Networked Population Size: Respondent-Driven Capture-Recapture with Anonymity

Bilal Khan, Hsuan-Wei Lee, Ian Fellows +1

Population size estimates for hidden and hard-to-reach populations are particularly important when members are known to suffer from disproportion health issues or to pose health ri…

stat.ME2017

Analysis of Large Scale Web Experiments Using Sequences of Estimators

Ian E. Fellows

Experimental testing is vital in the optimization of web applications, and as such A/B testing has been widely adopted as a methodology for determining optimal content for many web…

stat.ML2014★ 4 cited

Why (and When and How) Contrastive Divergence Works

Ian E Fellows

Contrastive divergence (CD) is a promising method of inference in high dimensional distributions with intractable normalizing constants, however, the theoretical foundations justif…