Mark S. Handcock

About Mark S. Handcock

Mark S. Handcock, With an exceptional h-index of 57 and a recent h-index of 40 (since 2020), a distinguished researcher at University of California, Los Angeles, specializes in the field of Statistics, demography, social networks, environmetrics, epidemiology.

His recent articles reflect a diverse array of research interests and contributions to the field:

Estimating Asymptomatic and Symptomatic Transmission of the COVID‐19 First Few Cases in Selenge Province, Mongolia

Modeling the visibility distribution for respondent-driven sampling with application to population size estimation

Causal inference over stochastic networks

Exposure notification system activity as a leading indicator for SARS-COV-2 caseload forecasting

Understanding networks with exponential-family random network models

Modeling of networked populations when data is sampled or missing

Practical network modeling via tapered exponential-family random graph models

Comparative assessment of alternative methods for evaluating the optimality of ground motion intensity measures using woodframe buildings

Mark S. Handcock Information

University

Position

Professor of Statistics

Citations(all)

24585

Citations(since 2020)

8687

Cited By

19499

hIndex(all)

57

hIndex(since 2020)

40

i10Index(all)

115

i10Index(since 2020)

74

Email

University Profile Page

Google Scholar

Mark S. Handcock Skills & Research Interests

Statistics

demography

social networks

environmetrics

epidemiology

Top articles of Mark S. Handcock

Estimating Asymptomatic and Symptomatic Transmission of the COVID‐19 First Few Cases in Selenge Province, Mongolia

Preprint from Authorea Preprints

2023/7/20

Undram Mandakh
Undram Mandakh

H-Index: 0

Mark S. Handcock
Mark S. Handcock

H-Index: 40

Modeling the visibility distribution for respondent-driven sampling with application to population size estimation

The Annals of Applied Statistics

2024/3

Causal inference over stochastic networks

Journal of the Royal Statistical Society, A

2024/1/25

Exposure notification system activity as a leading indicator for SARS-COV-2 caseload forecasting

PLOS One

2023/8/18

Understanding networks with exponential-family random network models

Social Networks

2023/8/6

Modeling of networked populations when data is sampled or missing

Metron

2023/5/20

Practical network modeling via tapered exponential-family random graph models

Journal of Computational and Graphical Statistics

2023/4/3

Comparative assessment of alternative methods for evaluating the optimality of ground motion intensity measures using woodframe buildings

Soil Dynamics and Earthquake Engineering

2023/10/1

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

2023/10

Population level information combined parameter estimation from complex survey datasets

arXiv preprint arXiv:2209.01247

2022/9/2

Tool for tracking all-cause mortality and estimating excess mortality to support the COVID-19 pandemic response.

2022/5/25

A new record minimum for Antarctic sea ice

2022/4

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

2022/4

A regime shift in seasonal total Antarctic sea ice extent in the twentieth century

Nature Climate Change

2022/1

An approach to causal inference over stochastic networks

arXiv preprint arXiv:2106.14145

2021/6/27

A Note on “Sequential Neighborhood Effects” by Hicks et al.(2018)

Demography

2021/4/1

Population size estimation using multiple respondent-driven sampling surveys

2017

Exponential Random Graph Models (ERGMs) using statnet

2021

Eighteen-year record of circum-Antarctic landfast-sea-ice distribution allows detailed baseline characterisation and reveals trends and variability

The Cryosphere

2021/1

An assessment of the temporal variability in the annual cycle of daily Antarctic sea ice in the NCAR Community Earth System Model, Version 2: A comparison of the historical …

Journal of Geophysical Research: Oceans

2020/11

See List of Professors in Mark S. Handcock University(University of California, Los Angeles)

Co-Authors

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