BOOKS

• Kolaczyk, E.D. and Csardi, G. (2020). Statistical Analysis of Network Data with R, 2nd Edition. New York, Springer.
• Kolaczyk, E.D. (2017). Topics at the Frontier of Statistics and Network Analysis: (Re)Visiting the Foundations. Cambridge University Press.
• Kolaczyk, E.D. and Csardi, G. (2014). Statistical Analysis of Network Data with R. New York, Springer.
• Kolaczyk, E.D. (2009). Statistical Analysis of Network Data: Methods and Models. New York, Springer.

RECENT MANUSCRIPTS

• Chen, L., Josephs, N., Lin, L., Zhou, J., and Kolaczyk, E.D. (2020). A spectral-based framework for hypothesis testing in populations of networks.
• Josephs, N., Lin, L., Rosenberg, S., and Kolaczyk, E.D. (2020). Bayesian classification, anomaly detection, and survival analysis using network inputs with application to the microbiome.
• Li, W., Sussman, D.S., and Kolaczyk, E.D. (2020). Estimation of the epidemic branching factor.
• Ahelegbey, D.F., Carvalho, L., and Kolaczyk, E.D. (2018). A Bayesian covariance and latent position model for multivariate financial time series.
• Kang, X., Ganguly, A., and Kolaczyk, E.D. (2017) Dynamic networks with multi-scale temporal structure.

PEER-REVIEWED JOURNAL ARTICLES

• Kolaczyk, E.D., Wright, H., and Yajima, M. (2020). Placing 'practice' at the center of data science eduction (with discussion). Harvard Data Science Review, (in press).
• Chang, J., Kolaczyk, E.D., and Yao, Q. (2020). Estimation of subgraph density in noisy networks. Journal of the American Statistical Association. (in press)
• Martinet, L. E., Kramer, M. A., Viles, W., Perkins, L. N., Spencer, E., Chu, C. J., ... & Kolaczyk, E. D. (2020). Robust dynamic community detection with applications to human brain functional networks. Nature Communications, 11(1), 1-13.
• 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. (2020). The in vivo genetic program of murine primordial lung epithelial progenitors. Nature Communications, 11(1), 1-17.
• Posner, D.C., Lin, H., Meigs, J.B., Kolaczyk, E.D., and Dupuis, J. (2020). Convex combination sequence kernel association test for rare-variant studies. Genetic Epidemiology, 44(4), 352-367.
• Kolaczyk, E.D., Lin, L., Rosenberg, S., Xu, J., and Walters, J. (2020). Averages of unlabeled networks: Geometric characterization and asymptotic behavior. Annals of Statistics, 48(1), 514-538.
• Hahm, H.C., Zhou, L., Lee, C., Maru, M., Peterson, J., Kolaczyk, E.D. (2019). Feasibility, Preliminary Efficacy, and Safety of a Randomized Clinical Trial for Asian Women’s Action for Resilience and Empowerment (AWARE) Intervention. American Journal of Orthopsychiatry, 89(4), 462.
• Shappell, H., Tripodis, Y., Killiany, R.J., and Kolaczyk, E.D. (2019). A paradigm for longitudinal complex network analysis over patient cohorts in neuroscience. Network Science, 7(2), 196-214.
• Griffin, P.J., Zhang, Y., Johnson, W.E., and Kolaczyk, E.D. (2018). Detection of multiple perturbations in multi-omi cs biological networks. Biometrics, 74(4), 1351 - 1361.
• Kramer, J., Helfrich, C., Levin, M., Hwang, I., Samuel, P., & Carralles, A., Schwartz, A., Goeva, A., & Kolaczyk, E.D. (2018). Initial evaluation of the effects of an environmental-focused problem-solving intervention for transition-age youth with developmental disabilities: Project TEAM. Developmental Medicine and Child Neurology, 60(8), 801-809.
• Gan, H.L. and Kolaczyk, E.D. (2018). Approximation of the difference of two Poisson-like counts by Skellam. Journal of Applied Probability, 55(2), 416 - 430.
• 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. (2017). Control of Huntington's disease-associated phenotypes by the striatum-enriched transcription factor Foxp2. Cell Reports, 21(10), 2688-2695.
• Balachandran, P., Kolaczyk, E.D., and Viles, W. (2017). On the propagation of low-rate measurement error to subgraph counts in large networks. Journal of Machine Learning Research, 18(61):1 - 33.
• Ginestet, C.E., Balachandran, P., Rosenberg, S., and Kolaczyk, E.D. (2017). Hypothesis testing for network data in functional neuroimaging. Annals of Applied Statistics, 11(2), 725-750.
• 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. (2016). Peripheral blood transcriptomic signatures of fasting glucose and insulin concentrations. Diabetes, 65(12), 3794-3804.
• Lu, C., O'Connor, G.T., Dupuis, J., and Kolaczyk, E.D. (2016). Meta-analysis for penalized regression methods with multi-cohort Genome-wide Association Studies. Human Heredity, 81, 142-149.
• Sloas, D.C., Zhuo, R., Xue, H., Chambers, A.R., Kolaczyk, E., Polley, D.B., and Sen, K. (2016). Interactions across multiple stimulus dimensions in primary auditory cortex. eNeuro, 3(4), ENEURO.0124-16.2016.
• Viles, W., Ginestet, C.E., Tang, A., Kramer, M.A., and Kolaczyk, E.D. (2016). Percolation under noise: Detecting explosive percolation using the second-largest component. Physical Review E, 93, 052301.
• Pham, L.M., Carvalho, L., Schaus, S., and Kolaczyk, E.D. (2016). Perturbation detection through modeling of gene expression on a latent biological pathway network: a Bayesian hierarchical approach. Journal of the American Statistical Association, 111, 73-92.
• Li, Y., O'Connor, G.T., Dupuis, J., and Kolaczyk, E. (2015). Modeling gene-covariate interactions in sparse regression with group structure for genome-wide association studies. Statistical Applications in Genetics and Molecular Biology 14(3).
• Zhang, Y., Kolaczyk, E.D., and Spencer, B.D. (2015). Estimating network degree distribution s under sampling: an inverse problem, with applications to monitoring social med ia networks. Annals of Applied Statistics, 9(1), 166-199.
Krivitsky, P.N. and Kolaczyk, E.D. (2014). 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. Proceedings of the National Academy of Sciences, doi:10.1073.
• Christadore, L.M., Pham, L., Kolaczyk, E.D., and Schaus, S.E. (2014). Improvement of experimental testing and network training conditions with genome-wide microarrays for more accurate predictions of drug gene targets. BMC Systems Biology, 8:7.
• Ding, Q. and Kolaczyk, E.D. (2013). A compressed PCA subspace method for anomaly detection in high-dimensional data. IEEE Transactions on Information Theory, 59(11), 7419-7433.
• Lu, C., Latourelle, J., O'Connor, G.T., Dupuis, J., and Kolaczyk, E.D. (2013). Network-guided sparse regression modeling for detection of gene-by-gene interactions. Bioinformatics, 29(10), 1241-1249.
• Katenka, N. and Kolaczyk, E.D. (2012). Multi-Attribute networks and the impact of partial information on inference and characterization. Annals of Applied Statistics, 6(3), 1068-1094.
• Hahm, H.C., Kolaczyk, E.D., Jang, J., Bhindarwala, A., and Swenson, T. (2012). Binge drinking trajectories from adolescence to young adulthood: the effects of peer social network. Substance Use and Misuse.
• McCormick, T.H., He, R., Kolaczyk, E.D., and Zheng, T. (2012). Surveying hard-to-reach groups through sampled respondents in a social network: a comparison of two survey strategies. Statistics in Biosciences – Special Issue on Networks, 4:1, 177-195.
• Jiang, X. and Kolaczyk, E.D. (2012). A latent eigen-probit model with link uncertainty for prediction of protein-protein interactions. Statistics in Biosciences – Special Issue on Networks, 4:1, 84-104 .
• Hahm, H.C., Kolaczyk, E., Lee, Y., Jang, J., and Ng, L. (2012). Are Asian-American women who were maltreated as children at higher likelihood for HIV risk behaviors, depression, or suicidality? Women’s Health Issues, 22(1), e35-e43.
• Pham, L., Christadore, L., Schaus, S., and Kolaczyk, E.D. (2011). Network-based prediction for sources of transcriptional dysregulation using latent pathway identification analysis. Proceedings of the National Academy of Sciences, 108(32), 13347 - 13352.
• Fast, E.M., Toomey, M.E., Panaram, K., Desjardins, D., Kolaczyk, E.D., and Frydman, H.M. (2011). Wolbachia enhance Drosophila stem cell proliferation and target the germline stem cell niche. Science, 334(6058), 990-992.
• Kramer, M.A., Eden, U.T., LePage, K.Q., Kolaczyk, E.D., Bianchi, M.T., and Cash, S.S. (2011). Emergence of persistent networks in long-term intracranial EEG recordings. Journal of Neuroscience, 31(44), 15757 – 15767.
• Jiang, X., Gold, D.L., and Kolaczyk, E.D. (2010). Network-based auto-probit modeling for protein function prediction. Biometrics, 67(3), 958-966 .
• Cosgrove, E.J., Gardener, T.S., Kolaczyk, E.D. (2010). On the choice and number of microarrays for transcriptional regulatory network inference. BMC Bioinformatics, 11:454.
• Di, J. and Kolaczyk, E.D. (2010). Complexity-penalized estimation of minimum volume sets for dependent data. Journal of Multivariate Analysis, 101(9), 1910-1926.
• Kramer, M.A., Eden, U.T., Kolaczyk, E.D., Zepeda, R., Eskandar, E.N., Cash, S.S. (2010). Coalescence and fragmentation of cortical networks during focal seizures. Journal of Neuroscience, 30(30), 10076-10085.
• Yang, S. and Kolaczyk, E.D. (2010). Target detection via network filtering. IEEE Transactions on Information Theory, 56(5), 2502-2515 .
• Scott, C. and Kolaczyk, E.D. (2010). Nonparametric assessment of contamination in multivariate data using minimum volume sets and FDR. Journal of Computational and Graphical Statistics, 19(2), 439-456.
• Kramer, M.A., Eden, U.T., Cash, S.S., and Kolaczyk, E.D. (2009). Network inference -- with confidence -- from multivariate time series. Physical Review E, 79, 061916.
• Kolaczyk, E.D., Chua, D.B., and Barthelemy, M. (2009).  Group-betweenness and cobetweenness: Inter-related notions of coalition centrality.  Social Networks,31:3, 190-203.
• Cosgrove, E.J., Zhou, Y., Gardner, T.S., and Kolaczyk, E.D. (2008). Predicting gene targets of perturbations via network-based filtering of mRNA expression compendia. Bioinformatics, 24(21), 2482-2490.
• Jiang, X., Nariai, N., Steffen, M., Kasif, S., and Kolaczyk, E.D. (2008). Integration of relational and hierarchical network information for protein function prediction. BMC Bioinformatics, 9:350.
• Kramer, M.A., Kolaczyk, E.D., and Kirsch, H.E. (2008). Emergent network topology at seizure onset in humans. Epilepsy Research,79, 173-186.
• Nariai, N., Kolaczyk, E.D., and Kasif, S. (2007). Probabilistic model for protein function prediction from multiple types of genome-wide data. PLoS ONE, 2:3, e337.
• Viger, F., Barrat, A., Dall'Asta, L., Zhang, C-H., and Kolaczyk, E.D. (2007). What is the real size of a sampled network? The case of the Internet. Physical Review E,75, 056111.
• Chua, D.B., Kolaczyk, E.D., and Crovella, M. (2006). Network Kriging. Journal of Selected Areas in Communications, Special Issue on Sampling the Internet, 24:12, 2263-2272.
• Louie, M.M. and Kolaczyk, E.D. (2006). A multiscale method for disease mapping in spatial epidemiology. Statistics in Medicine, 25:8, 1287-1308.
• Louie, M.M. and Kolaczyk, E.D. (2006). Multiscale detection of localized anomalous structure in aggregate disease incidence data. Statistics in Medicine, 25:5, 787-810.
• Kolaczyk, E.D., Ju, J., and Gopal, S. (2005). Multiscale, multigranular statistical image segmentation. Journal of the American Statistical Association, 100, 1358-1369.
• Ju, J., Gopal, S., and Kolaczyk, E.D. (2005). On the choice of spatial and categorical scale in remote sensing land cover characterization. Remote Sensing of Environment, 96(1):62-77..
• Kolaczyk, E.D. and Nowak, R.D. (2005). Multiscale generalized linear models for nonparametric function estimation. Biometrika, 92:1, 119-133.
• Kolaczyk, E.D. and Nowak, R.D. (2004). Multiscale likelihood analysis and complexity penalized estimation. Annals of Statistics,32, 500-527.
• Louie, M.M. and Kolaczyk, E.D. (2004). On the covariance properties of certain multiscale spatial processes. Statistics and Probability Letters,66:4, 407-416.
• Kolaczyk, E.D. (2003). On the use of prior and posterior information in the sub-pixel proportion problem. IEEE Transactions on Geoscience and Remote Sensing, 41(11), 2687-2691.
• Ju, J., Kolaczyk, E.D., and Gopal, S. (2003). Gaussian mixture discriminant analysis and sub-pixel land cover classification in remote sensing. Remote Sensing of Environment, 84(4),550-560.
• Morales, C.J. and Kolaczyk, E.D. (2002). Wavelets-based fractal analysis of human balance. Annals of Biomedical Engineering, 30, 588-597.
• Kolaczyk, E.D. and Huang, H. (2001). Multiscale statistical models for hierarchical spatial aggregation. Geographical Analysis, 33:2, 95-118.
• Nowak, R.D. and Kolaczyk, E.D. (2000). A Bayesian multiscale framework for Poisson inverse problems. IEEE Transactions on Information Theory, 46:5, 1811-1825.
• Kolaczyk, E.D. and Dixon, D.D. (2000). Nonparametric estimation of intensity maps using Haar wavelets and Poisson noise characteristics. The Astrophysical Journal, 534:1, 490-505.
• Kolaczyk, E.D. (1999). Bayesian Multi-Scale Models for Poisson Processes. Journal of the American Statistical Association, 94, 920-933.
• Dixon, D.D, Harmann, D.H., Kolaczyk, E.D., Samimi, J., Diehl, R., Kanbach, G., Mayer-Hasselwander, H., and Strong, A.W. (1998) Evidence for a gamma-ray halo. New Astronomy, 3:7, 539-561.
• Kolaczyk, E.D. (1998) Wavelet Shrinkage Estimation of Certain Poisson Intensity Signals Using Corrected Thresholds. Statistica Sinica, 9, 119-135.
• Chipman, H.A., Kolaczyk, E.D., and McCulloch, R.E. (1997) Adaptive Bayesian Wavelet Shrinkage. Journal of the American Statistical Association, 92, 1413-1421.
• Kolaczyk, E.D. (1997) Non-Parametric Estimation of Gamma-Ray Burst Intensities Using Haar Wavelets. The Astrophysical Journal, Vol. 483, 340-349.
• Kolaczyk, E.D. (1996) A Wavelet Shrinkage Approach to Tomographic Image Reconstruction. Journal of the American Statistical Association, 91, 1079-1090.
• Kolaczyk, E.D. (1994) Empirical Likelihood and Generalized Linear Models. Statistica Sinica, 4, 199-218.

PEER-REVIEWED PROCEEDINGS PAPERS AND ABSTRACTS

• Kang, X., Ganguly, A., and Kolaczyk, E.D. (2017). Dynamic networks with multi-scale temporal structure. Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers.
• Ganguly, A., and Kolaczyk, E.D. (2017). Estimation of vertex degrees in a sampled network. Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers.
• Zhang, Y., Lappas, T., Crovella, M., and Kolaczyk, E.D. (2014). Online ratings: convergence towards a positive perspective? Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP).
• Yang, S., Pham, L., Christadore, L.M., Schaus, S.E., and Kolaczyk, E.D. (2013). Multiscale gene sets from protein interaction networks. Proceedings of GlobalSIP.
• Ding, Q., Katenka, N., Barford, P., Kolaczyk, E.D., and Crovella, M. (2012). Intrusion as (Anti)social Communication:  Characterization and Detection. Proceedings of the 2012 ACM SIGKDD Conference on Knowledge Discovery and Data Mining. [Best Student Paper Award]
• Jiang, X., Nariai, N., Steffen, M., Kasif, S., Gold, D., and Kolaczyk, E.D. (2008). Combining Hierarchical Inference in Ontologies with Heterogeneous Data Sources Improves Gene Function Prediction. Proceedings of the 2008 International IEEE Conference on Bioinformatics and Biomedicine.
• Chhabra, P., Scott, C., Kolaczyk, E.D., and Crovella, M. (2008). Distributed Spatial Anomaly Detection. Proceedings of the IEEE Infocom 2008.
• Scott, C.D. and Kolaczyk, E.D. (2007). Annotated minimum volume sets for nonparametric anomaly discovery. Proceedings of the IEEE Statistical Signal Processing Workshop 2007.
• Chua, D.B., Kolaczyk, E.D., and Crovella, M. (2005). A statistical framework for efficient monitoring of end-to-end network properties. Proceedings of the Sigmetrics 2005.

  (Accompanying technical report may be found here.)

• Chua, D.B., Kolaczyk, E.D., and Crovella, M. (2005). Efficient monitoring of end-to-end network properties. Proceedings of the IEEE Infocom 2005.
• Lakhina, A., Papagiannaki, K., Crovella, M., Diot, C., Kolaczyk, E.D., and Taft, N. (2004). Structural analysis of network traffic flows. Proceedings of the Sigmetrics/Performance 2004.
• Crovella, M. and Kolaczyk, E.D. (2003). Graph wavelets for spatial traffic analysis. Proceedings of the IEEE Infocom 2003.
• Nowak, R.D. and Kolaczyk, E.D (2002). Multiscale maximum penalized likelihood. Proceedings of the 2002 IEEE International Symposium on Information Theory.
• Ju, J., Kolaczyk, E.D., and Gopal, S. (2002). Gaussian mixture discriminant analysis and sub-pixel land cover classification in remote sensing. Proceedings of the 34th Annual Conference on the Interface of Computing Science and Statistics, Montreal, Canada.
• Kolaczyk, E.D. and Nowak, R.D. (2000). Reconstruction in emission tomography via a Bayesian multiscale statistical framework. Proceedings of 45th Annual SPIE Conference, San Diego, CA.
• Nowak, R.D., Kolaczyk, E.D., Lalush, D. and Tsui, B. (2000). A Bayesian multiscale framework for SPECT. Proceedings of the IEEE Medical Imaging Conference, Seattle, WA.
• Kolaczyk, E.D. and Nowak, R.D. (1999). Deconvolution of Poisson-Limited Data Using a Baysian Multiscale Model. Bulletin of the American Astronomical Society, 31:1.
• Nowak, R.D. and Kolaczyk, E.D. (1999). A Bayesian multiscale framework for Poisson inverse problems. Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing.
• Nowak, R.D. and Kolaczyk, E.D. (1999). Multiscale methods for Poisson inverse problems. Proceedings of the IEEE Information Theory Workshop on Detection, Estimation, Classification, and Imaging.
• Nowak, R.D. and Kolaczyk, E.D. (1998). A multiscale MAP estimation method for Poisson inverse problems. Proceedings of the 32nd Asilomar Conference on Signals, Systems, and Computers.
• Kolaczyk, E.D. (1997) Methods for Analyzing Certain Poisson Signals and Images in Astronomy. Proceedings of the 31st Asilomar Conference on Signals, Systems, and Computers.
• Hartmann, D.H., Dixon, D.D., Kolaczyk, E.D., and Samimi, J. (1997) Evidence for GeV emissions from the Galactic Center Fountain. Proceedings of the 4th Compton Symposium: AIP Conference Proceedings.
• Dixon, D.D., Kolaczyk, E.D., Samimi, J. and Saunder, M.A. (1997) Non-parametric estimates of high energy gamma-ray source distributions. Proceedings of the 4th Compton Symposium:AIP Conference Proceedings.
• Kolaczyk, E.D. (1996) Signal De-Noising Using Adaptive Bayesian Wavelet Shrinkage. Proceedings of the 3rd IEEE-SP International Symposium on Time-Frequency Time-Scale Analysis.
• Kolaczyk, E.D. (1994) Wavelet Shrinkage in Tomography. Proceedings of the 16th Annual International Conference of the IEEE-EMBS.

INVITED BOOK CHAPTERS

• Ginestet, C., Kramer, M., and Kolaczyk, E.D. (2016). Network analysis. In Handbook of Neuroimaging Data Analysis, Ombao, H., Lindquist, M., Thompson, W., and Aston, J. (ed.). CRC Press.
• Jiang, X. and Kolaczyk, E.D. (2010). Integration of network information for protein function prediction. In Systems Biology for Signaling Networks, Choi, S. (Ed.). Springer, New York.
• Kolaczyk, E.D. and Nowak, R.D. (2003). Multiscale statistical models. In Nonlinear Estimation and Classification, Denison et al. (eds.). Springer-Verlag: New York.
• Kolaczyk, E.D. (2003). Bayesian multiscale methods for Poisson count data. In Statistical Challenges in Modern Astronomy III, Babu and Feigelson (eds.). Springer-Verlag: New York.
• Kolaczyk, E.D. (1999). Some observations on the tractability of certain multiscale models. In Bayesian Inference in Wavelet-Based Models, Muller and Vidakovic (eds). Springer-Verlag: New York.
• Kolaczyk, E.D. (1996) An Application of Wavelet Shrinkage to Tomography. In Wavelets in Medicine and Biology. Aldroubi and Unser (eds):CRC Press.

INVITED DISCUSSION PAPERS

• Chang, J., Kolaczyk, E. D., & Yao, Q. (2020). Discussion of ‘Network cross-validation by edge sampling’. Biometrika, 107(2), 277-280.
• Goeva, A. and Kolaczyk, E.D. (2016). Comment on “A regularization scheme on word occurrence rates that improves estimation and interpretation of topical content.” Journal of the American Statistical Association, 111(516), 1382-1403
• Kolaczyk, E.D. (2003). Comment on "Wavelet-based nonparametric modeling of hierarchical functions in colon carcinogenesis." Journal of the American Statistical Association, 98, 585-587.
• Kolaczyk, E.D. (1995) Comment on "Wavelet Shrinkage: Asymptopia?" Journal of the Royal Statistical Society, Series B, 57, 356.

UNPUBLISHED REPORTS

• Balachandran, P., Viles, W., and Kolaczyk, E.D. (2013). Exponential-type inequalities involving ratios of the modified Bessel function of the first kind and their applications.
• Balachandran, P., Airoldi, E., and Kolaczyk, E.D. (2013). Inference of network summary statistics through network denosing.
• Kolaczyk, E.D. and Nowak, R.D. (2000). A multiresolution analysis for likelihoods: theory and methods.

  (Note: Much of the material in this manuscript was condensed and incorporated into the Kolaczyk and Nowak (2004) Annals paper above.)

• Kolaczyk, E.D. (1995) An Information Criterion for Empirical Likelihood with General Estimating Equations, Technical Report 417, Department of Statistics, The University of Chicago.

PhD DISSERTATION

• Kolaczyk, E.D. (1994) Wavelet Methods for the Inversion of Certain Homogeneous Linear Operators in the Presence of Noisy Data. Ph.D. Thesis, Department of Statistics, Stanford University.