Mark S. Handcock

Affiliations: 
University of Washington, Seattle, Seattle, WA 
Area:
Statistics
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"Mark Handcock"
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Publications

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Goyal S, Handcock MS, Jackson HM, et al. (2023) A practical revealed preference model for separating preferences and availability effects in marriage formation. Journal of the Royal Statistical Society. Series a, (Statistics in Society). 186: 682-706
Fellows IE, Handcock MS. (2023) Modeling of networked populations when data is sampled or missing. Metron. 81: 21-35
Blackburn B, Handcock MS. (2022) Practical Network Modeling via Tapered Exponential-family Random Graph Models. Journal of Computational and Graphical Statistics : a Joint Publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America. 32: 388-401
Clark DA, Handcock MS. (2022) Comparing the Real-World Performance of Exponential-family Random Graph Models and Latent Order Logistic Models for Social Network Analysis. Journal of the Royal Statistical Society. Series a, (Statistics in Society). 185: 566-587
Kim BJ, Handcock MS. (2021) Population Size Estimation Using Multiple Respondent-Driven Sampling Surveys. Journal of Survey Statistics and Methodology. 9: 94-120
Uppala M, Handcock MS. (2020) Modeling wildfire ignition origins in southern California using linear network point processes The Annals of Applied Statistics. 14: 339-356
Chan‐Golston AM, Banerjee S, Handcock MS. (2020) Bayesian inference for finite populations under spatial process settings Environmetrics. 31: 2606
Griffin M, Gile KJ, Fredricksen-Goldsen KI, et al. (2018) A SIMULATION-BASED FRAMEWORK FOR ASSESSING THE FEASIBILITY OF RESPONDENT-DRIVEN SAMPLING FOR ESTIMATING CHARACTERISTICS IN POPULATIONS OF LESBIAN, GAY AND BISEXUAL OLDER ADULTS. The Annals of Applied Statistics. 12: 2252-2278
Spiller MW, Gile KJ, Handcock MS, et al. (2017) Evaluating Variance Estimators for Respondent-Driven Sampling. Journal of Survey Statistics and Methodology. 2017
Gile KJ, Handcock MS. (2017) Analysis of networks with missing data with application to the National Longitudinal Study of Adolescent Health Journal of the Royal Statistical Society Series C-Applied Statistics. 66: 501-519
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