Work with academic experts in statistics and probability

Bioinformatics / Aug 08, 2016

Gaffney, S. G., & Townsend, J. P. (2016). PathScore: a web tool for identifying altered pathways in cancer data. Bioinformatics, 32(23), 3688–3690. https://doi.org/10.1093/bioinformatics/btw512

Statistical Applications in Genetics and Molecular Biology / Jan 01, 2015

Ghosh, S., & Townsend, J. P. (2015). H-CLAP: hierarchical clustering within a linear array with an application in genetics. Statistical Applications in Genetics and Molecular Biology, 14(2). https://doi.org/10.1515/sagmb-2013-0076

Bioinformatics / Jun 03, 2013

Dai, L., Tian, M., Wu, J., Xiao, J., Wang, X., Townsend, J. P., & Zhang, Z. (2013). AuthorReward: increasing community curation in biological knowledge wikis through automated authorship quantification. Bioinformatics, 29(14), 1837–1839. https://doi.org/10.1093/bioinformatics/btt284

Bioinformatics / Jun 10, 2010

Zhang, Z., López-Giráldez, F., & Townsend, J. P. (2010). LOX: inferring Level Of eXpression from diverse methods of census sequencing. Bioinformatics, 26(15), 1918–1919. https://doi.org/10.1093/bioinformatics/btq303

Journal of the American Statistical Association / Jul 02, 2016

Roberts, M. E., Stewart, B. M., & Airoldi, E. M. (2016). A Model of Text for Experimentation in the Social Sciences. Journal of the American Statistical Association, 111(515), 988–1003. https://doi.org/10.1080/01621459.2016.1141684

Biometrika / Apr 17, 2012

Choi, D. S., Wolfe, P. J., & Airoldi, E. M. (2012). Stochastic blockmodels with a growing number of classes. Biometrika, 99(2), 273–284. https://doi.org/10.1093/biomet/asr053

Bioinformatics / Jan 22, 2015

Katz, Y., Wang, E. T., Silterra, J., Schwartz, S., Wong, B., Thorvaldsdóttir, H., Robinson, J. T., Mesirov, J. P., Airoldi, E. M., & Burge, C. B. (2015). Quantitative visualization of alternative exon expression from RNA-seq data. Bioinformatics, 31(14), 2400–2402. https://doi.org/10.1093/bioinformatics/btv034

Journal of the American Statistical Association / Jun 30, 2020

Forastiere, L., Airoldi, E. M., & Mealli, F. (2020). Identification and Estimation of Treatment and Interference Effects in Observational Studies on Networks. Journal of the American Statistical Association, 116(534), 901–918. https://doi.org/10.1080/01621459.2020.1768100

The Annals of Statistics / Aug 01, 2017

Toulis, P., & Airoldi, E. M. (2017). Asymptotic and finite-sample properties of estimators based on stochastic gradients. The Annals of Statistics, 45(4). https://doi.org/10.1214/16-aos1506

Journal of the American Statistical Association / Oct 01, 2016

Airoldi, E. M., & Bischof, J. M. (2016). Improving and Evaluating Topic Models and Other Models of Text. Journal of the American Statistical Association, 111(516), 1381–1403. https://doi.org/10.1080/01621459.2015.1051182

Biometrika / Aug 06, 2018

Basse, G. W., & Airoldi, E. M. (2018). Model-assisted design of experiments in the presence of network-correlated outcomes. Biometrika, 105(4), 849–858. https://doi.org/10.1093/biomet/asy036

Statistics in Medicine / Jan 01, 2017

Lunceford, J. K. (2017). Stratification and weighting via the propensity score in estimation of causal treatment effects: a comparative study. Statistics in Medicine. Portico. https://doi.org/10.1002/sim.7231

Journal of the Royal Statistical Society: Series B (Statistical Methodology) / Dec 09, 2020

Toulis, P., Horel, T., & Airoldi, E. M. (2020). The proximal Robbins–Monro method. Journal of the Royal Statistical Society: Series B (Statistical Methodology), 83(1), 188–212. Portico. https://doi.org/10.1111/rssb.12405

Biometrika / Sep 30, 2019

Pouget-Abadie, J., Saint-Jacques, G., Saveski, M., Duan, W., Ghosh, S., Xu, Y., & Airoldi, E. M. (2019). Testing for arbitrary interference on experimentation platforms. Biometrika, 106(4), 929–940. https://doi.org/10.1093/biomet/asz047

Journal of the American Statistical Association / Jan 02, 2017

Lunagómez, S., Mukherjee, S., Wolpert, R. L., & Airoldi, E. M. (2017). Geometric Representations of Random Hypergraphs. Journal of the American Statistical Association, 112(517), 363–383. https://doi.org/10.1080/01621459.2016.1141686

Statistics and Computing / Jun 11, 2015

Toulis, P., & Airoldi, E. M. (2015). Scalable estimation strategies based on stochastic approximations: classical results and new insights. Statistics and Computing, 25(4), 781–795. https://doi.org/10.1007/s11222-015-9560-y

Journal of the American Statistical Association / Jan 02, 2015

Franks, A. M., Csárdi, G., Drummond, D. A., & Airoldi, E. M. (2015). Estimating a Structured Covariance Matrix From Multilab Measurements in High-Throughput Biology. Journal of the American Statistical Association, 110(509), 27–44. https://doi.org/10.1080/01621459.2014.964404

Journal of the American Statistical Association / Oct 02, 2014

Airoldi, E. M., Costa, T., Bassetti, F., Leisen, F., & Guindani, M. (2014). Generalized Species Sampling Priors With Latent Beta Reinforcements. Journal of the American Statistical Association, 109(508), 1466–1480. https://doi.org/10.1080/01621459.2014.950735

Journal of the American Statistical Association / Mar 01, 2013

Airoldi, E. M., & Blocker, A. W. (2013). Estimating Latent Processes on a Network From Indirect Measurements. Journal of the American Statistical Association, 108(501), 149–164. https://doi.org/10.1080/01621459.2012.756328

The Annals of Applied Statistics / Dec 01, 2013

Airoldi, E. M., Wang, X., & Lin, X. (2013). Multi-way blockmodels for analyzing coordinated high-dimensional responses. The Annals of Applied Statistics, 7(4). https://doi.org/10.1214/13-aoas643

The Annals of Applied Statistics / Jun 01, 2010

Silva, R., Heller, K., Ghahramani, Z., & Airoldi, E. M. (2010). Ranking relations using analogies in biological and information networks. The Annals of Applied Statistics, 4(2). https://doi.org/10.1214/09-aoas321

Bayesian Analysis / Jun 01, 2006

Airoldi, E. M., Anderson, A. G., Fienberg, S. E., & Skinner, K. K. (2006). Who wrote Ronald Reagan’s radio addresses? Bayesian Analysis, 1(2). https://doi.org/10.1214/06-ba110

Insurance: Mathematics and Economics / Nov 01, 2013

Zhang, H., Leung, T., & Hadjiliadis, O. (2013). Stochastic modeling and fair valuation of drawdown insurance. Insurance: Mathematics and Economics, 53(3), 840–850. https://doi.org/10.1016/j.insmatheco.2013.10.006

Risk and Decision Analysis / Jan 01, 2014

Leung, T., Li, X., & Wang, Z. (2014). Optimal starting–stopping and switching of a CIR process with fixed costs. Risk and Decision Analysis, 5(2–3), 149–161. https://doi.org/10.3233/rda-140107

Risk and Decision Analysis / May 31, 2017

Leung, T., & Li, Z. (2017). Timing options for a startup with early termination and competition risks. Risk and Decision Analysis, 6(2), 151–166. https://doi.org/10.3233/rda-170120

Stochastic Models / Jul 16, 2015

Leung, T., Li, X., & Wang, Z. (2015). Optimal Multiple Trading Times Under the Exponential OU Model with Transaction Costs. Stochastic Models, 31(4), 554–587. https://doi.org/10.1080/15326349.2015.1058717

Stochastic Processes and their Applications / Feb 01, 2013

Egami, M., Leung, T., & Yamazaki, K. (2013). Default swap games driven by spectrally negative Lévy processes. Stochastic Processes and Their Applications, 123(2), 347–384. https://doi.org/10.1016/j.spa.2012.09.008

Finance and Stochastics / Aug 27, 2013

Leung, T., Song, Q., & Yang, J. (2013). Outperformance portfolio optimization via the equivalence of pure and randomized hypothesis testing. Finance and Stochastics, 17(4), 839–870. https://doi.org/10.1007/s00780-013-0213-8

Mathematics and Financial Economics / Feb 24, 2012

Leung, T., & Ludkovski, M. (2012). Accounting for risk aversion in derivatives purchase timing. Mathematics and Financial Economics, 6(4), 363–386. https://doi.org/10.1007/s11579-012-0063-8

Stochastics / Jun 19, 2012

Leung, T., Sircar, R., & Zariphopoulou, T. (2012). Forward indifference valuation of American options. Stochastics, 84(5–6), 741–770. https://doi.org/10.1080/17442508.2012.694438

Physica A: Statistical Mechanics and its Applications / Feb 01, 2019

Kutner, R., Ausloos, M., Grech, D., Di Matteo, T., Schinckus, C., & Eugene Stanley, H. (2019). Econophysics and sociophysics: Their milestones & challenges. Physica A: Statistical Mechanics and Its Applications, 516, 240–253. https://doi.org/10.1016/j.physa.2018.10.019

Physica A: Statistical Mechanics and its Applications / Oct 01, 2009

Schinckus, C. (2009). Economic uncertainty and econophysics. Physica A: Statistical Mechanics and Its Applications, 388(20), 4415–4423. https://doi.org/10.1016/j.physa.2009.07.008

Physica A: Statistical Mechanics and its Applications / Sep 01, 2010

Schinckus, C. (2010). Is econophysics a new discipline? The neopositivist argument. Physica A: Statistical Mechanics and Its Applications, 389(18), 3814–3821. https://doi.org/10.1016/j.physa.2010.05.016

Physica A: Statistical Mechanics and its Applications / Dec 01, 2020

Ausloos, M., Grech, D., Di Matteo, T., Kutner, R., Schinckus, C., & Stanley, H. E. (2020). Manifesto for a post-pandemic modeling. Physica A: Statistical Mechanics and Its Applications, 559, 125086. https://doi.org/10.1016/j.physa.2020.125086

Physica A: Statistical Mechanics and its Applications / Jan 01, 2019

Ausloos, M., Grech, D., Di Matteo, T., Kutner, R., Schinckus, C., & Stanley, H. E. (2019). Preface. Physica A: Statistical Mechanics and Its Applications, 513, 272. https://doi.org/10.1016/j.physa.2018.08.173

Physica A: Statistical Mechanics and its Applications / Mar 01, 2018

Schinckus, C., Altukhov, Y. A., & Pokrovskii, V. N. (2018). Empirical justification of the elementary model of money circulation. Physica A: Statistical Mechanics and Its Applications, 493, 228–238. https://doi.org/10.1016/j.physa.2017.10.054

Physica A: Statistical Mechanics and its Applications / Oct 01, 2018

Schinckus, C. (2018). Ising model, econophysics and analogies. Physica A: Statistical Mechanics and Its Applications, 508, 95–103. https://doi.org/10.1016/j.physa.2018.05.063

Physica A: Statistical Mechanics and its Applications / Dec 01, 2016

Pokrovskii, V. N., & Schinckus, C. (2016). An elementary model of money circulation. Physica A: Statistical Mechanics and Its Applications, 463, 111–122. https://doi.org/10.1016/j.physa.2016.07.006

Physica A: Statistical Mechanics and its Applications / Sep 01, 2013

Schinckus, C. (2013). Between complexity of modelling and modelling of complexity: An essay on econophysics. Physica A: Statistical Mechanics and Its Applications, 392(17), 3654–3665. https://doi.org/10.1016/j.physa.2013.04.005

Physica A: Statistical Mechanics and its Applications / Oct 01, 2011

Bucsa, G., Jovanovic, F., & Schinckus, C. (2011). A unified model for price return distributions used in econophysics. Physica A: Statistical Mechanics and Its Applications, 390(20), 3435–3443. https://doi.org/10.1016/j.physa.2011.04.012

Statistical Science / May 01, 2006

Ghose, A., & Sundararajan, A. (2006). Evaluating Pricing Strategy Using e-Commerce Data: Evidence and Estimation Challenges. Statistical Science, 21(2). https://doi.org/10.1214/088342306000000187

Biosystems / Jun 01, 1999

McFadden, J., & Al-Khalili, J. (1999). A quantum mechanical model of adaptive mutation. Biosystems, 50(3), 203–211. https://doi.org/10.1016/s0303-2647(99)00004-0

Journal of Theoretical Biology / Jun 01, 1997

McFadden, J., & Knowles, G. (1997). Escape From Evolutionary Stasis by Transposon-mediated Deleterious Mutations. Journal of Theoretical Biology, 186(4), 441–447. https://doi.org/10.1006/jtbi.1997.0403