For a complete list of publications, please see my Google Scholar profile.


Nisar, M.I., Ansari, N., Amin, M., Khalid, F., Hotwani, A., Rehman, N., Rizvi, A., Memon, A., Ahmed, Z., Ahmed, A., Iqbal, J., Saleem, A.F., Bashir, U., Larremore, D., Fosdick, B.K., and Jehan, F., Serial population based serosurvey of antibodies to SARS-CoV-2 in a low and high transmission area of Karachi. [preprint]

Larremore, D.B.*, Fosdick, B.K.*, Zhang, S., and Grad, Y.H., Jointly modeling prevalence, sensitivity and specificity for optimal sample allocation. [preprint]

Fout, A., Fosdick, B.K., and Hitt, M., Non-uniform sampling of fixed margin binary matrices. [to appear in FODS 2020 Conference Proceedings]

Layer, R.M., Fosdick, B.K., Bradshaw, M., Larremore, D.B., and Doherty, P., Case study: Using Facebook data to monitor adherence to stay-at-home orders in Colorado and Utah. [preprint]

Larremore, D.B, Fosdick, B.K., Bubar, K.M., Zhang, S., Kissler, S.M., Metcalf, J.E., Buckee, C.O., and Grad, Y.H., Estimating SARS-CoV-2 seroprevalence and epidemiological parameters with uncertainty from serological surveys. [preprint] [interactive calculation tool][code]

Ng, T.L.J., Murphy, T.B., Westling, T., McCormick, T.H., and Fosdick, B.K., Modeling the social media relationships of Irish politicians using a generalized latent space stochastic blockmodel. [preprint]

Marrs, F.W., Fosdick, B.K., and McCormick, T.H., Standard errors for regression on relational data with exchangeable errors. [preprint][code]

Journal Publications   (* denotes equal contribution)

Safran, R.J., Levin, I.I., Fosdick, B.K., McDermott, M.T., Semenov, G.A., Hund, A.K., Scordato, E.S.C., and Turbek, S.P., (2019) Using networks to connect individual-level reproductive behavior to population patterns. Trends in Ecology and Evolution. 34(6):497-501. [DOI]

Campbell, B.W., Marrs, F.W., Böhmelt, T., Fosdick, B.K., and Cranmer, S.J., (2019) Latent influence networks in global environmental politics. PLOS One. 14(3). [DOI]

Marrs, F.W., Campbell, B.W., Fosdick, B.K., Cranmer, S.J., and Böhmelt, T. (2019),Inferring influence networks from longitudinal bipartite relational data. Journal of Computational and Graphical Statistics. [DOI][code]

Fosdick, B.K., McCormick, T.H., Murphy, T.B., Ng T.L.J., and Westling, T., (2018) Multiresolution network models. Journal of Computational and Graphical Statistics. [DOI][code]

Levin, I.I., Fosdick, B.K., Tsunekage, T., Aberle, M.A., Bergeon-Burns, C.M., Hund, A.K., and Safran, R.J., (2018) Experimental manipulation of a signal trait reveals complex phenotype-behaviour coordination. Scientific Reports. 8:15533. [DOI]

Fosdick, B.K.*, Larremore, D.B.*, Nishimura, J.* and Ugander, J.*, (2018) Configuring random graph models with fixed degree sequences. SIAM Review. 60(2):315-355. [DOI][code]

Lee, W., Fosdick, B.K., and McCormick, T.H., (2018) Inferring social structure from continuous-time interction data. Applied Stochastic Models in Business and Industry. 34(2):87-104. [DOI][code]

Ellis, J., Johnson, E., and Fosdick, B.K., (2017) Factors contributing to students and instructors experiencing a lack of time in college calculus. International Journal of STEM Education. 4(12). [DOI]

Scharf, H.R., Hooten, M.B., Fosdick, B.K., Johnson, D.S., London, J.M., and Durban, J.W., (2016) Dynamic social networks based on movementAnnals of Applied Statistics. 10(4):2182-2202. [DOI][code]

Fosdick, B.K., De Yoreo, M., and Reiter, J.P., (2016) Categorical data fusion using auxiliary information Annals of Applied Statistics. 10(4):1907-1929. [DOI][code]

Levin, I., Zonana, D., Fosdick, B.K., Song, S.J., Knight, R. and Safran, R., (2015) Stress response, gut microbial diversity, and sexual signals correlate with social interactions. Biology Letters. 12(6). [DOI]

Ellis, J, Fosdick, B.K., and Rasmussen, C., (2015) Women 1.5 times more likely to leave STEM pipeline after calculus compared to men: Lack of mathematical confidence a potential culprit. PLoS ONE. 11(7): e0157447. [DOI]

Fosdick, B.K. and Hoff, P.D., (2015) Testing and jointly modeling dependencies between a network and nodal attributes. Journal of the American Statistical Association. 110(511):1047-1056. [code]

Gerland, P., Raftery, A.E., Sevcikova, H., Li, N., Gu, D., Spoorenber, T., Alkema, L., Fosdick, B.K., Chunn, J., Lalic, N., Bay, G., Buettner, T., Heilig, G., Wilmoth, J., (2014) World population stablilization unlikely this century. Science. 346:234-237. [reprint][DOI]

Fosdick, B.K. and Perlman, M.D., (2014) Variance-stabilizing and confidence-stabilizing transformations for the normal correlation coefficient with known variances. Communications in Statistics - Simulation and Computation. Published online. [DOI]

Fosdick, B.K. and Raftery, A.E., (2014) Regional probabilistic fertility forecasting by modeling between-country correlations. Demographic Research. 30:1011-1034. [DOI]

Fosdick, B.K. and Hoff, P.D., (2014) Separable factor analysis with applications to mortality data. Annals of Applied Statistics. 8(1):120-147. [DOI]

Hoff, P.D., Fosdick, B.K., Volfovsky, A., and Stovel, K., (2013) Likelihoods for fixed rank nomination networks. Network Science. 1:253-277. [DOI]

Fosdick, B.K. and Perlman, M.D., (2013) Covariate and Newton-Raphson adjustments for a normal correlation coefficient when the variances are known. Statistics and Probability Letters. 83(12):2627-2633. [DOI]

Fosdick, B.K. and Raftery, A.E., (2012) Estimating the correlation in bivariate normal data with known variances and small sample sizes. The American Statistician. 66(1):34-41. [DOI]

von Fischer, J.C., Rhew, R.C., Ames, G.M., Fosdick, B.K., von Fischer, P. E., (2010) Vegetation height and other controls of spatial variability in methane emissions from the Arctic coastal tundra at Barrow, Alaska. Journal of Geophysical Research. 115, G00103. [DOI]

Draper (Fosdick), B., Marcin, D., Margolskee, A., Murden, R., Attarian, A., Evans, M.V., and Yokley, K.A., (2009) Feasibility of metabolic parameter estimation in pharmacokinetic models of carbon tetrachloride exposure in rats. Toxicological & Environmental Chemistry. 91(3):521-546. [DOI]

Other Publications

Buckee, C. et al. (2020) Women in science are battling both COVID-19 and the patriarchy. Times Higher Education. [link]

Huzurbazar, S., Cisewski, J., Fosdick, B.K., and Wang, X. (2014) Opportunities at SAMSI and NISS. Chance. [link]