Publications
Arguably the simplest way to view my publication history is through my Google Scholar page
Alternatively, you can find below a somewhat more structured presentation (albeit usually out of date by 6-12 months). Here my publications have been collected into list below, separated according to books, recent manuscripts, journal articles, proceedings papers, book chapters, discussion papers, and unpublished reports. An electronic version of my PhD thesis is available as well.
Books
- Statistical Analysis of Network Data with R, 2nd Edition (2020). Kolaczyk, E.D. and Csardi, G. New York, Springer.
- Topics at the Frontier of Statistics and Network Analysis: (Re)Visiting the Foundations (2017). Kolaczyk, E.D. Cambridge University Press.
- Statistical Analysis of Network Data with R. (2014). Kolaczyk, E.D. and Csardi, G. New York, Springer.
- Statistical Analysis of Network Data: Methods and Models (2009). Kolaczyk, E.D. New York, Springer
Recent Manuscripts
- Differentially private linear regression with linked data (2023+). Lin, S., Paquette, E., and Kolaczyk, E.D.
- Differentially private confidence intervals for proportions under stratified random sampling (2023+). Lin, S., Bun, M., Gaboardi, M., Kolaczyk, E.D., and Smith, A.
- Quantifying uncertainty for temporal motif estimation in graph streams under sampling (2022+). Zhu, X. and Kolaczyk, E.D.
- Edge differentially private estimation in the beta-model via jittering and method of moments (2021+). Chang, J., Hu, Q., Kolaczyk, E.D., Yao, Q., and Yi, F.
- Causal inference under network interference with noise (2021+). Li, W., Sussman, D.L., and Kolaczyk, E.D.
- A Bayesian covariance and latent position model for multivariate financial time series (2018). Ahelegbey, D.F., Carvalho, L., and Kolaczyk, E.D.
Peer-Reviewed Journal Articles
- Distinguishing between different percolation regimes in noisy dynamic networks with an application to epileptic seizures (2023). Zhu, X., Shappell, H. Kramer, M.A., Chu, C.J., and Kolaczyk, E.D. PLOS Computational Biology, 19(6): e1011188.
- ViLoN – a multi-layer network approach to data integration demonstrated for patient stratification (2023). Kandula, M.M., Aldoshin, A.D., Singh, S., Kolaczyk, E.D., and Kreil, D.P. Nucleic Acids Research, 51:1, e6.
- Assessing the impact of aircraft arrival on ambient ultrafine particle number concentrations in near-airport communities in Boston, Massachusetts (2023). Chung, C.S., Lane, K.J., Black-Ingersoll, F.B., Kolaczyk, E., Schollaert, C., Li, S., Simon, M.C., and Levy, J.I. Environmental Research, Vol 225, 115584.
- Disentangling positive and negative partisanship in social media interactions using a coevolving latent space network with attractors model (2023). Zhu, X., Caliskan, C., Christenson, D.P., Spiliopoulos, K., Walker, D., and Kolaczyk, E.D. Journal of the Royal Statistical Society, Series A, (to appear).
- Estimation of the branching factor in noisy networks (2022). Li, W., Sussman, D.S., and Kolaczyk, E.D. IEEE Transactions on Network Science and Engineering, 10(1), 565-577.
- Estimation of subgraph density in noisy networks (2022). Chang, J., Kolaczyk, E.D., and Yao, Q. Journal of the American Statistical Association, 117(537), 361-374.
- Estimation of heterogeneous instantaneous reproduction numbers with application to characterize SARS-CoV-2 transmission in Massachusetts counties. (2022) Zhou, Z., Kolaczyk, E.D., Thompson, R., and White, L.F. PLOS Computational Biology, 18(9), e1010434).
- Early introduction and rise of the Omicron SARS-CoV-2 variant in highly vaccinated university populations. (2022) Petros, B. A., et al. Clinical Infectious Diseases. doi.org/10.1093/cid/ciac413
- A spectral-based framework for hypothesis testing in populations of networks (2022). Chen, L., Josephs, N., Lin, L., Zhou, J., and Kolaczyk, E.D. Statistica Sinica, (to appear).
- Bayesian classification, anomaly detection, and survival analysis using network inputs with application to the microbiome (2022). Josephs, N., Lin, L., Rosenberg, S., and Kolaczyk, E.D. Annals of Applied Statistics, Vol. 17, No. 1, 199-224.
- Estimation of local time-varying reproduction numbers in noisy surveillance data (2022). Li, W., Bulekova, K., Gregor, B., White, L.F., and Kolaczyk, E.D. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 380(2233), 20210303.
- Projecting quarantine utilization during a pandemic (2022). Li, W., Kolaczyk, E.D., and White, L.F. American Journal of Public Health, 112(2), 277-283.
- Control of COVID-19 transmission on an urban university campus during a second wave of the pandemic (2021). Hamer, D.H., White, L., Jenkins, H.E., Gill, C.J., Landsberg, H.N., Klapperich, C., Bulekova, K., Platt, J., Decarie, L., Gilmore, W., Pilkington, M., McDowell, T.L., Fari, M.A., Densmore, D.M., Landaverde, L., Li, W., Rose, T., Burgay, S.P., Miller, C., Doucette-Stamm, L., Lockard, K., Elmore, K., Schroeder, T., Zaia, A.M., Kolaczyk, E.D., Waters, G., and Brown, R.A. JAMA Network Open, 4(6):e2116425.
- Dynamic networks with multi-scale temporal structure (2021). Kang, X., Ganguly, A., and Kolaczyk, E.D. Sankhya A, 1-43.
- Sensor-based localization of epidemic sources on human mobility networks (2021). Li, J., Manitz, J., Bertuzzo, E., and Kolaczyk, E.D. PLOS Computational Biology, DOI: 10.1771/journal.pcbi.1008545
- Placing ‘practice’ at the center of data science eduction (with discussion) (2021). Kolaczyk, E.D., Wright, H., and Yajima, M. Harvard Data Science Review, Vol 3.1, DOI:10.1162/99608f92.2d65fc70 .
- Robust dynamic community detection with applications to human brain functional networks (2020). Martinet, L.E., Kramer, M.A., Viles, W., Perkins, L.N., Spencer, E., Chu, C.J., … & Kolaczyk, E.D. Nature Communications, 11(1), 1-13.
- The in vivo genetic program of murine primordial lung epithelial progenitors (2020). Ikonomou, L., Herriges, M. J., Lewandowski, S. L., Marsland, R., Villacorta-Martin, C., Caballero, I. S., Frank, D.B., Sanghrajka, R.M., Dame, K., Kandula, M.M., Hicks-Berthet, J., Lawton, M.L., Christodoulou, C., Fabian, A.J., Kolaczyk, E., Varelas, X., Morrisey, E., Shannon, J.M., Mehta, P., and Kotton, D.N. Nature Communications, 11(1), 1-17.
- Convex combination sequence kernel association test for rare-variant studies (2020). Posner, D.C., Lin, H., Meigs, J.B., Kolaczyk, E.D., and Dupuis, J. Genetic Epidemiology, 44(4), 352-367.
- Averages of unlabeled networks: Geometric characterization and asymptotic behavior (2020). Kolaczyk, E.D., Lin, L., Rosenberg, S., Xu, J., and Walters, J. Annals of Statistics, 48(1), 514-538.
- Feasibility, Preliminary Efficacy, and Safety of a Randomized Clinical Trial for Asian Women’s Action for Resilience and Empowerment (AWARE) Intervention (2019). Hahm, H.C., Zhou, L., Lee, C., Maru, M., Peterson, J., Kolaczyk, E.D. American Journal of Orthopsychiatry, 89(4), 462.
- A paradigm for longitudinal complex network analysis over patient cohorts in neuroscience (2019). Shappell, H., Tripodis, Y., Killiany, R.J., and Kolaczyk, E.D. Network Science, 7(2), 196-214.
- Detection of multiple perturbations in multi-omi cs biological networks (2018). Griffin, P.J., Zhang, Y., Johnson, W.E., and Kolaczyk, E.D. Biometrics, 74(4), 1351 – 1361.
- Initial evaluation of the effects of an environmental-focused problem-solving intervention for transition-age youth with developmental disabilities: Project TEAM (2018). Kramer, J., Helfrich, C., Levin, M., Hwang, I., Samuel, P., & Carralles, A., Schwartz, A., Goeva, A., & Kolaczyk, E.D. Developmental Medicine and Child Neurology, 60(8), 801-809.
- Approximation of the difference of two Poisson-like counts by Skellam (2018). Gan, H.L. and Kolaczyk, E.D. Journal of Applied Probability, 55(2), 416 – 430.
- Control of Huntington’s disease-associated phenotypes by the striatum-enriched transcription factor Foxp2 (2017). Hachigian, L.J., Carmona, V., Fenster, R.J., Kulicke, R., Heilbut, A., Sittler, A., Pereira de Almedia, L., Mesirov, J.P., Gao, F., Kolaczyk, E.D., and Heiman, M. Cell Reports, 21(10), 2688-2695.
- On the propagation of low-rate measurement error to subgraph counts in large networks (2017). Balachandran, P., Kolaczyk, E.D., and Viles, W. Journal of Machine Learning Research, 18(61):1 – 33.
- Hypothesis testing for network data in functional neuroimaging (2017). Ginestet, C.E., Balachandran, P., Rosenberg, S., and Kolaczyk, E.D. Annals of Applied Statistics, 11(2), 725-750.
- Peripheral blood transcriptomic signatures of fasting glucose and insulin concentrations (2016). Chen, B.H., Hivert, M-F., Peters, M.J., Pilling, L.C., Hogan, J.D., Pham, L.M., Harries, L.W., Fox, C.S., Bandinelli, S., Dehghan, A., Hernandez, D.G., Hofman, A., Hong, J., Joehanes, R., Johnson, A.D., Munson, P.J., Rybin, D.V., Singleton, A.B., Uitterlinden, A.G., Ying, S., MAGIC Investigators, Melzer, D., Levy, D., van Meurs, J.B.J., Perrucci, L., Florez, J.C., Dupuis, J., Meigs, J.B., and Kolaczyk, E.D. Diabetes, 65(12), 3794-3804.
- Meta-analysis for penalized regression methods with multi-cohort Genome-wide Association Studies (2016). Lu, C., O’Connor, G.T., Dupuis, J., and Kolaczyk, E.D. Human Heredity, 81, 142-149.
- Interactions across multiple stimulus dimensions in primary auditory cortex (2016). Sloas, D.C., Zhuo, R., Xue, H., Chambers, A.R., Kolaczyk, E., Polley, D.B., and Sen, K. eNeuro, 3(4), ENEURO.0124-16.2016.
- Percolation under noise: Detecting explosive percolation using the second-largest component (2016). Viles, W., Ginestet, C.E., Tang, A., Kramer, M.A., and Kolaczyk, E.D. Physical Review E, 93, 052301.
- Perturbation detection through modeling of gene expression on a latent biological pathway network: a Bayesian hierarchical approach (2016). Pham, L.M., Carvalho, L., Schaus, S., and Kolaczyk, E.D. Journal of the American Statistical Association, 111, 73-92.
- Modeling gene-covariate interactions in sparse regression with group structure for genome-wide association studies (2015). Li, Y., O’Connor, G.T., Dupuis, J., and Kolaczyk, E. Statistical Applications in Genetics and Molecular Biology 14(3).
- Estimating network degree distribution s under sampling: an inverse problem, with applications to monitoring social media networks (2015). Zhang, Y., Kolaczyk, E.D., and Spencer, B.D. Annals of Applied Statistics, 9(1), 166-199.
- On the question of effective sample size in network modeling: an asymptotic inquiry. Statistical Science, 30(2), 184-198.Heiman, M. et al. (2014). Molecular adaptations of striatal spiny projection neurons during levodopa-induced dyskinesia (2014). Krivitsky, P.N. and Kolaczyk, E.D. Proceedings of the National Academy of Sciences, doi:10.1073.
- Improvement of experimental testing and network training conditions with genome-wide microarrays for more accurate predictions of drug gene targets (2014). Christadore, L.M., Pham, L., Kolaczyk, E.D., and Schaus, S.E.BMC Systems Biology, 8:7.
- A compressed PCA subspace method for anomaly detection in high-dimensional data (2013). Ding, Q. and Kolaczyk, E.D. IEEE Transactions on Information Theory, 59(11), 7419-7433.
- Network-guided sparse regression modeling for detection of gene-by-gene interactions (2013). Lu, C., Latourelle, J., O’Connor, G.T., Dupuis, J., and Kolaczyk, E.D. Bioinformatics, 29(10), 1241-1249.
- Multi-Attribute networks and the impact of partial information on inference and characterization (2012). Katenka, N. and Kolaczyk, E.D. Annals of Applied Statistics, 6(3), 1068-1094.
- Binge drinking trajectories from adolescence to young adulthood: the effects of peer social network (2012). Hahm, H.C., Kolaczyk, E.D., Jang, J., Bhindarwala, A., and Swenson, T. Substance Use and Misuse.
- Surveying hard-to-reach groups through sampled respondents in a social network: a comparison of two survey strategies (2012). McCormick, T.H., He, R., Kolaczyk, E.D., and Zheng, T. Statistics in Biosciences – Special Issue on Networks, 4:1, 177-195.
- A latent eigen-probit model with link uncertainty for prediction of protein-protein interactions (2012). Jiang, X. and Kolaczyk, E.D. Statistics in Biosciences – Special Issue on Networks, 4:1, 84-104
- Are Asian-American women who were maltreated as children at higher likelihood for HIV risk behaviors, depression, or suicidality? (2012). Hahm, H.C., Kolaczyk, E., Lee, Y., Jang, J., and Ng, L. Women’s Health Issues, 22(1), e35-e43.
- Network-based prediction for sources of transcriptional dysregulation using latent pathway identification analysis (2011). Pham, L., Christadore, L., Schaus, S., and Kolaczyk, E.D. Proceedings of the National Academy of Sciences, 108(32), 13347 – 13352.
- Wolbachia enhance Drosophila stem cell proliferation and target the germline stem cell niche (2011). Fast, E.M., Toomey, M.E., Panaram, K., Desjardins, D., Kolaczyk, E.D., and Frydman, H.M. Science, 334(6058), 990-992.
- Emergence of persistent networks in long-term intracranial EEG recordings (2011). Kramer, M.A., Eden, U.T., LePage, K.Q., Kolaczyk, E.D., Bianchi, M.T., and Cash, S.S. Journal of Neuroscience, 31(44), 15757 – 15767.
- Network-based auto-probit modeling for protein function prediction (2010). Jiang, X., Gold, D.L., and Kolaczyk, E.D. Biometrics, 67(3), 958-966 .
- On the choice and number of microarrays for transcriptional regulatory network inference. (2010). Cosgrove, E.J., Gardener, T.S., Kolaczyk, E.D. BMC Bioinformatics, 11:454.
- Complexity-penalized estimation of minimum volume sets for dependent data (2010). Di, J. and Kolaczyk, E.D. Journal of Multivariate Analysis, 101(9), 1910-1926.
- Coalescence and fragmentation of cortical networks during focal seizures (2010). Kramer, M.A., Eden, U.T., Kolaczyk, E.D., Zepeda, R., Eskandar, E.N., Cash, S.S. Journal of Neuroscience, 30(30), 10076-10085.
- Target detection via network filtering (2010). Yang, S. and Kolaczyk, E.D. IEEE Transactions on Information Theory, 56(5), 2502-2515 .
- Nonparametric assessment of contamination in multivariate data using minimum volume sets and FDR (2010). Scott, C. and Kolaczyk, E.D. Journal of Computational and Graphical Statistics, 19(2), 439-456.
- Network inference — with confidence — from multivariate time series (2009). Kramer, M.A., Eden, U.T., Cash, S.S., and Kolaczyk, E.D. Physical Review E, 79, 061916.
- Group-betweenness and cobetweenness: Inter-related notions of coalition centrality (2009). Kolaczyk, E.D., Chua, D.B., and Barthelemy, M. Social Networks,31:3, 190-203.
- Predicting gene targets of perturbations via network-based filtering of mRNA expression compendia (2008). Cosgrove, E.J., Zhou, Y., Gardner, T.S., and Kolaczyk, E.D. Bioinformatics, 24(21), 2482-2490.
- Integration of relational and hierarchical network information for protein function prediction (2008). Jiang, X., Nariai, N., Steffen, M., Kasif, S., and Kolaczyk, E.D. BMC Bioinformatics, 9:350.
- Emergent network topology at seizure onset in humans (2008). Kramer, M.A., Kolaczyk, E.D., and Kirsch, H.E. Epilepsy Research,79, 173-186.
- Probabilistic model for protein function prediction from multiple types of genome-wide data (2007). Nariai, N., Kolaczyk, E.D., and Kasif, S. PLoS ONE, 2:3, e337.
- What is the real size of a sampled network? The case of the Internet (2007). Viger, F., Barrat, A., Dall’Asta, L., Zhang, C-H., and Kolaczyk, E.D. Physical Review E,75, 056111.
- Network Kriging (2006). Chua, D.B., Kolaczyk, E.D., and Crovella, M. Journal of Selected Areas in Communications, Special Issue on Sampling the Internet, 24:12, 2263-2272.
- A multiscale method for disease mapping in spatial epidemiology (2006). Louie, M.M. and Kolaczyk, E.D. Statistics in Medicine, 25:8, 1287-1308.
- Multiscale detection of localized anomalous structure in aggregate disease incidence data (2006). Louie, M.M. and Kolaczyk, E.D. Statistics in Medicine, 25:5, 787-810.
- Multiscale, multigranular statistical image segmentation (2005). Kolaczyk, E.D., Ju, J., and Gopal, S. Journal of the American Statistical Association, 100, 1358-1369.
- On the choice of spatial and categorical scale in remote sensing land cover characterization (2005). Ju, J., Gopal, S., and Kolaczyk, E.D. Remote Sensing of Environment, 96(1):62-77.
- Multiscale generalized linear models for nonparametric function estimation (2005). Kolaczyk, E.D. and Nowak, R.D. Biometrika, 92:1, 119-133.
- Multiscale likelihood analysis and complexity penalized estimation (2004). Kolaczyk, E.D. and Nowak, R.D. Annals of Statistics,32, 500-527.
- On the covariance properties of certain multiscale spatial processes (2004). Louie, M.M. and Kolaczyk, E.D. Statistics and Probability Letters,66:4, 407-416.
- On the use of prior and posterior information in the sub-pixel proportion problem (2003). Kolaczyk, E.D. IEEE Transactions on Geoscience and Remote Sensing, 41(11), 2687-2691.
- Gaussian mixture discriminant analysis and sub-pixel land cover classification in remote sensing (2003). Ju, J., Kolaczyk, E.D., and Gopal, S. Remote Sensing of Environment, 84(4),550-560.
- Wavelets-based fractal analysis of human balance. (2002). Morales, C.J. and Kolaczyk, E.D. Annals of Biomedical Engineering, 30, 588-597.
- Multiscale statistical models for hierarchical spatial aggregation (2001). Kolaczyk, E.D. and Huang, H. Geographical Analysis, 33:2, 95-118.
- A Bayesian multiscale framework for Poisson inverse problems (2000). Nowak, R.D. and Kolaczyk, E.D. IEEE Transactions on Information Theory, 46:5, 1811-1825.
- Nonparametric estimation of intensity maps using Haar wavelets and Poisson noise characteristics (2000). Kolaczyk, E.D. and Dixon, D.D. The Astrophysical Journal, 534:1, 490-505.
- Bayesian Multi-Scale Models for Poisson Processes (1999). Kolaczyk, E.D. Journal of the American Statistical Association, 94, 920-933.
- Evidence for a gamma-ray halo (1998). Dixon, D.D, Harmann, D.H., Kolaczyk, E.D., Samimi, J., Diehl, R., Kanbach, G., Mayer-Hasselwander, H., and Strong, A.W. New Astronomy, 3:7, 539-561.
- Wavelet Shrinkage Estimation of Certain Poisson Intensity Signals Using Corrected Thresholds (1998). Kolaczyk, E.D. Statistica Sinica, 9, 119-135.
- Adaptive Bayesian Wavelet Shrinkage (1997). Chipman, H.A., Kolaczyk, E.D., and McCulloch, R.E. Journal of the American Statistical Association, 92, 1413-1421.
- Non-Parametric Estimation of Gamma-Ray Burst Intensities Using Haar Wavelets (1997). Kolaczyk, E.D. The Astrophysical Journal, Vol. 483, 340-349.
- A Wavelet Shrinkage Approach to Tomographic Image Reconstruction (1996). Kolaczyk, E.D. Journal of the American Statistical Association, 91, 1079-1090.
- Empirical Likelihood and Generalized Linear Models (1994). Kolaczyk, E.D. Statistica Sinica, 4, 199-218.
Peer-Reviewed Proceedings Papers and Abstracts
- Network recovery from unlabeled noisy samples (2021). Josephs, N., Li, W., and Kolaczyk, E.D. Proceedings of the Asilomar Conference on Signals, Systems, and Computers.
- Dynamic networks with multi-scale temporal structure (2017). Kang, X., Ganguly, A., and Kolaczyk, E.D. Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers.
- Estimation of vertex degrees in a sampled network (2017). Ganguly, A., and Kolaczyk, E.D. Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers.
- Online ratings: convergence towards a positive perspective? (2014). Zhang, Y., Lappas, T., Crovella, M., and Kolaczyk, E.D. Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP).
- Multiscale gene sets from protein interaction networks (2013). Yang, S., Pham, L., Christadore, L.M., Schaus, S.E., and Kolaczyk, E.D.Proceedings of GlobalSIP.
- Intrusion as (Anti)social Communication: Characterization and Detection (2012). Ding, Q., Katenka, N., Barford, P., Kolaczyk, E.D., and Crovella, M. Proceedings of the 2012 ACM SIGKDD Conference on Knowledge Discovery and Data Mining. [Best Student Paper Award]
- Combining Hierarchical Inference in Ontologies with Heterogeneous Data Sources Improves Gene Function Prediction (2008). Jiang, X., Nariai, N., Steffen, M., Kasif, S., Gold, D., and Kolaczyk, E.D. Proceedings of the 2008 International IEEE Conference on Bioinformatics and Biomedicine.
- Distributed Spatial Anomaly Detection (2008). Chhabra, P., Scott, C., Kolaczyk, E.D., and Crovella, M. Proceedings of the IEEE Infocom 2008.
- Annotated minimum volume sets for nonparametric anomaly discovery (2007). Scott, C.D. and Kolaczyk, E.D. Proceedings of the IEEE Statistical Signal Processing Workshop 2007.
- A statistical framework for efficient monitoring of end-to-end network properties (2005). Chua, D.B., Kolaczyk, E.D., and Crovella, M. Proceedings of the Sigmetrics 2005.
(Accompanying technical report may be found here.) - Efficient monitoring of end-to-end network properties (2005). Chua, D.B., Kolaczyk, E.D., and Crovella, M. Proceedings of the IEEE Infocom 2005.
- Structural analysis of network traffic flows (2004). Lakhina, A., Papagiannaki, K., Crovella, M., Diot, C., Kolaczyk, E.D., and Taft, N. Proceedings of the Sigmetrics/Performance 2004.
- Graph wavelets for spatial traffic analysis (2003). Crovella, M. and Kolaczyk, E.D. Proceedings of the IEEE Infocom 2003.
- Multiscale maximum penalized likelihood (2002). Nowak, R.D. and Kolaczyk, E.D. Proceedings of the 2002 IEEE International Symposium on Information Theory.
- Gaussian mixture discriminant analysis and sub-pixel land cover classification in remote sensing (2002). Ju, J., Kolaczyk, E.D., and Gopal, S. Proceedings of the 34th Annual Conference on the Interface of Computing Science and Statistics, Montreal, Canada.
- Reconstruction in emission tomography via a Bayesian multiscale statistical framework (2000). Kolaczyk, E.D. and Nowak, R.D. Proceedings of 45th Annual SPIE Conference, San Diego, CA.
- A Bayesian multiscale framework for SPECT (2000). Nowak, R.D., Kolaczyk, E.D., Lalush, D. and Tsui, B. Proceedings of the IEEE Medical Imaging Conference, Seattle, WA.
- Deconvolution of Poisson-Limited Data Using a Baysian Multiscale Model (1999). Kolaczyk, E.D. and Nowak, R.D. Bulletin of the American Astronomical Society, 31:1.
- A Bayesian multiscale framework for Poisson inverse problems (1999). Nowak, R.D. and Kolaczyk, E.D. Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing.
- Multiscale methods for Poisson inverse problems (1999). Nowak, R.D. and Kolaczyk, E.D. Proceedings of the IEEE Information Theory Workshop on Detection, Estimation, Classification, and Imaging.
- A multiscale MAP estimation method for Poisson inverse problems (1998). Nowak, R.D. and Kolaczyk, E.D. Proceedings of the 32nd Asilomar Conference on Signals, Systems, and Computers.
- Methods for Analyzing Certain Poisson Signals and Images in Astronomy (1997). Kolaczyk, E.D. Proceedings of the 31st Asilomar Conference on Signals, Systems, and Computers.
- Evidence for GeV emissions from the Galactic Center Fountain (1997). Hartmann, D.H., Dixon, D.D., Kolaczyk, E.D., and Samimi, J. Proceedings of the 4th Compton Symposium: AIP Conference Proceedings.
- Non-parametric estimates of high energy gamma-ray source distributions (1997). Dixon, D.D., Kolaczyk, E.D., Samimi, J. and Saunder, M.A. Proceedings of the 4th Compton Symposium:AIP Conference Proceedings.
- Signal De-Noising Using Adaptive Bayesian Wavelet Shrinkage (1996). Kolaczyk, E.D. Proceedings of the 3rd IEEE-SP International Symposium on Time-Frequency Time-Scale Analysis.
- Wavelet Shrinkage in Tomography (1994). Kolaczyk, E.D. Proceedings of the 16th Annual International Conference of the IEEE-EMBS.
Invited Book Chapters
- Network analysis (2016). Ginestet, C., Kramer, M., and Kolaczyk, E.D. Handbook of Neuroimaging Data Analysis, Ombao, H., Lindquist, M., Thompson, W., and Aston, J. (ed.). CRC Press.
- Integration of network information for protein function prediction (2010), Jiang, X. and Kolaczyk, E.D. Systems Biology for Signaling Networks, Choi, S. (Ed.). Springer, New York.
- Multiscale statistical models (2003). Kolaczyk, E.D. and Nowak, R.D. Nonlinear Estimation and Classification, Denison et al. (eds.). Springer-Verlag: New York.
- Bayesian multiscale methods for Poisson count data (2003). Kolaczyk, E.D. Statistical Challenges in Modern Astronomy III, Babu and Feigelson (eds.). Springer-Verlag: New York.
- Some observations on the tractability of certain multiscale models (1999). Kolaczyk, E.D. Bayesian Inference in Wavelet-Based Models, Muller and Vidakovic (eds). Springer-Verlag: New York.
- An Application of Wavelet Shrinkage to Tomography (1996). Kolaczyk, E.D. Wavelets in Medicine and Biology. Aldroubi and Unser (eds):CRC Press.
Invited Discussion Papers
- Discussion of `Co-citation and Co-authorship Networks of Statisticians’ (2022). Zhu, X. and Kolaczyk, E.D. Journal of Business and Economic Statistics, 40(2), 494-496.
- We need a (responsible!) data science rapid response network (2021). Kolaczyk, E.D., Lee, M.M., Liu, J., and Parker, M.S. Discussion of ‘Data science in times of pan(dem)ic’, Leonelli. Harvard Data Science Review.
- Discussion of ‘Network cross-validation by edge sampling’ (2020). Chang, J., Kolaczyk, E. D., & Yao, Q. Biometrika, 107(2), 277-280.
- Comment on “A regularization scheme on word occurrence rates that improves estimation and interpretation of topical content.” (2016). Goeva, A. and Kolaczyk, E.D. Journal of the American Statistical Association, 111(516), 1382-1403.
- Comment on “Wavelet-based nonparametric modeling of hierarchical functions in colon carcinogenesis.” (2003). Kolaczyk, E.D. Journal of the American Statistical Association, 98, 585-587.
- Comment on “Wavelet Shrinkage: Asymptopia?” (1995). Kolaczyk, E.D. Journal of the Royal Statistical Society, Series B, 57, 356.
Unpublished Reports
- Exponential-type inequalities involving ratios of the modified Bessel function of the first kind and their applications (2013). Balachandran, P., Viles, W., and Kolaczyk, E.D.
- Inference of network summary statistics through network denosing (2013). Balachandran, P., Airoldi, E., and Kolaczyk, E.D.
- A multiresolution analysis for likelihoods: theory and methods (2000). Kolaczyk, E.D. and Nowak, R.D.
(Note: Much of the material in this manuscript was condensed and incorporated into the Kolaczyk and Nowak (2004) Annals paper above.) - An Information Criterion for Empirical Likelihood with General Estimating Equations, Technical Report 417, Department of Statistics, The University of Chicago (1995). Kolaczyk, E.D.
Ph.D. Dissertation
- Wavelet Methods for the Inversion of Certain Homogeneous Linear Operators in the Presence of Noisy Data (1994) Kolaczyk, E.D. Department of Statistics, Stanford University