Publications

Books

Social Network Analysis: Methods and Applications
Social Network Analysis: Methods and Applications

Wasserman, S., & Faust, K. New York and Cambridge, ENG: Cambridge University Press. (Second Edition in preparation)
1994

Advances in Social Network Analysis: Research from the Social and Behavioral Sciences
Advances in Social Network Analysis: Research from the Social and Behavioral Sciences

Wasserman, S., & Galaskiewicz, J. (eds). Newbury Park, CA: Sage Publications
1994

Models and Methods in Social Network Analysis
Models and Methods in Social Network Analysis

Carrington, P., Scott, J., & Wasserman, S. (eds). New York: Cambridge University Press. (Winner, 2006 Harrison White Outstanding Book Award from the Mathematical Sociology Section of the American Sociological Association)
2004

Journals

Statistical Analysis and Data Mining of Networks

Wasserman, S., & Miller, J.L. (eds). Special issue on Statistical Analysis and Data Analysis to appear.
2011

Longitudinal Mixed Membership Trajectory Models for Disability Survey Data
Examining the literature on “Networks in space and in time”: An introduction

De Benedictis, L., Vitale, M.P., & Wasserman, S. Network Science. 3, 1–17.
2015

AOn the Nystrom and Column-Sampling Methods for the Approximate Principal Components Analysis of Large Data Sets
"On the Nystrom and Column-Sampling Methods for the Approximate Principal Components Analysis of Large Data Sets,"

Homrighausen, D. and McDonald, D.J., Journal of Computational and Graphical Statistics, 25, 344-362.
2016

Estimating beta-mixing coefficients via histograms
"Estimating beta-mixing coefficients via histograms"

McDonald, D.J., Shalizi, C.R., and Schervish, M., Electronic Journal of Statistics, 9(2), 2855-2883.
2015

Leave-one-out cross-validation is risk consistent for lasso,” Machine Learning
“Leave-one-out cross-validation is risk consistent for lasso,” Machine Learning

Homrighausen, D., and McDonald, D.J., 97(1-2), 65-78
2014

Bayesian Simultaneous Edit and Imputation for Multivariate Categorical Data
Bayesian Simultaneous Edit and Imputation for Multivariate Categorical Data

Manrique-Vallier, D. and Reiter, J.P. (forthcoming) Journal of the American Statistical Association

Longitudinal Mixed Membership Trajectory Models for Disability Survey Data
A Non-parametric, Multiple Imputation-Based Method for the Retrospective Integration of Data Sets"

Carrig, M., Ranby, K. W., Manrique-Vallier, D., Reiter, J. and Hoyle, R, Multivariate Behavioral Research 50(4), 383-397
2015

Longitudinal Mixed Membership Trajectory Models for Disability Survey Data
Longitudinal Mixed Membership Trajectory Models for Disability Survey Data
[PDF]

Manrique-Vallier, D., Annals of Applied Statistics 8, 2268--2291.
2014

Longitudinal Mixed Membership Trajectory Models for Disability Survey Data
Bayesian Estimation of Discrete Multivariate Latent Structure Models with Structural Zeros

Manrique-Vallier, D. and Reiter, J., Journal of Computational and Graphical Statistics 23, 1061--1079.
2014

Bayesian Multiple Imputation for Large-Scale Categorical Data with Structural Zeros

Manrique-Vallier, D. and Reiter, J., Survey Methodology 40, 125-134
2014

Longitudinal Mixed Membership Trajectory Models for Disability Survey Data
Estimating Identification Disclosure Risk Using Mixed Membership Models

Manrique-Vallier, D. and Reiter, J., Journal of the American Statistical Association 107, 1385-1394.
2012

Statistical estimation of T1 relaxation time using conventional magnetic resonance imaging
Statistical estimation of T1 relaxation time using conventional magnetic resonance imaging.

Mejia AF, Sweeney EM, Dewey B, Nair G, Sati P, Shea C, Reich D and Shinohara RT. In press at NeuroImage.

Longitudinal Mixed Membership Trajectory Models for Disability Survey Data
Improving reliability of subject-level resting-state fMRI parcellations with shrinkage.

Mejia AF, Nebel MB, Shou H, Crainiceanu CM, Pekar JJ, Mostofsky SH, Caffo B and Lindquist MA. NeuroImage 112: 14-29.
2015

Longitudinal Mixed Membership Trajectory Models for Disability Survey Data
Zen and the art of multiple comparisons.

Lindquist MA and Mejia AF. Psychosomatic Medicine 77.2: 114-125.
2015

Longitudinal Mixed Membership Trajectory Models for Disability Survey Data
Shrinkage prediction of seed-voxel brain connectivity using resting-state fMRI.

Shou H, Eloyan A, Nebel MB, Mejia AF, Pekar JJ, Mostofsky S, Caffo B, Lindquist MA and Crainiceanu, CM. NeuroImage.
2014

Longitudinal Mixed Membership Trajectory Models for Disability Survey Data
Left-hemispheric microstructural abnormalities in children with high functioning Autism Spectrum Disorder.

Peterson D, Rajneesh M, Crocetti D, Mejia AF, Mostofsky SH. Autism Research.
2014

Longitudinal Mixed Membership Trajectory Models for Disability Survey Data
Evidence for specificity of motor impairments in catching and balance in children with autism.

Ament K, Mejia A, Buhlman R, Erklin S, Caffo B, Mostofsky S, & Wodka E. Journal of Autism and Developmental Disorders: 1-10.
2014

Longitudinal Mixed Membership Trajectory Models for Disability Survey Data
"Fitting ERGMs on Big Networks."

An, Weihua. Social Science Research 59: 107-119. (Special issue on Big Data in the Social Sciences)
2016

Longitudinal Mixed Membership Trajectory Models for Disability Survey Data
"On the Directionality Test of Peer Effects in Social Networks."

An, Weihua. Sociological Methods and Research 45(4): 635-650.
2016

Longitudinal Mixed Membership Trajectory Models for Disability Survey Data
"Instrumental Variables Estimates of Peer Effects in Social Networks."

An, Weihua. Social Science Research 50: 382-394.
2015

Longitudinal Mixed Membership Trajectory Models for Disability Survey Data
"Health Surveillance through Social Networks."

An, Weihua and Long Doan. Social Networks 42: 8-17.
2015

Longitudinal Mixed Membership Trajectory Models for Disability Survey Data
"Analysis of Contested Reports in Exchange Networks Based on Actors' Credibility."

An, Weihua and Sam Schramski. Social Networks 40: 25-33.
2015

Longitudinal Mixed Membership Trajectory Models for Disability Survey Data
"LARF: Instrumental Variable Estimation of Causal Effects through Local Average Response Functions."

An, Weihua and Xuefu Wang. Journal of Statistical Software 71(1): 1-13.
2016

Longitudinal Mixed Membership Trajectory Models for Disability Survey Data
"Causal Inference in Panel Data with Application to Estimating Race-of-Interviewer Effects in the General Social Survey."

An, Weihua and Christopher Winship. Sociological Methods and Research. (In Press)
2015

Longitudinal Mixed Membership Trajectory Models for Disability Survey Data
Poisson tests of declustered catalogs.

Brad Luen and Philip B. Stark. Geophysical Journal International, 189, 691{700.
2012

Longitudinal Mixed Membership Trajectory Models for Disability Survey Data
"Intrinsic random functions and universal kriging on the circle"

Huang, C., Zhang, H., and Robeson, S., Statistics and Probability Letters, 108, 33-39
2016

Longitudinal Mixed Membership Trajectory Models for Disability Survey Data
"Point-pattern analysis on the sphere"

Robeson, S., Li, A., and Huang, C., Spatial Statistics, 10, 76-86
2014

Longitudinal Mixed Membership Trajectory Models for Disability Survey Data
"Spectral density estimation through a regularized inverse problem,"

Huang, C., Hsing, T., and Cressie, N. Statistica Sinica, 21, 1115-1144.
2011

Longitudinal Mixed Membership Trajectory Models for Disability Survey Data
"Nonparametric Estimation of Variogram and its Spectrum,"

Huang, C., Hsing, T., and Cressie, N. Biometrika, 98, 775-789.
2011

“Psychological strategies for winning a geopolitical forecasting tournament,”

Mellers B, Ungar L, Baron J, Ramos J, Gurcay B, Fincher K, Scott SE, Moore D, Atanasov P, Swift SA, Murray T, Stone E, Tetlock PE. Psychological Science, May 1;25(5):1106-15
2014