E. Kolaczyk

Mark Crovella, Eric D. Kolaczyk, M. Crovella, 2003, IEEE INFOCOM 2003. Twenty-second Annual Joint Conference of the IEEE Computer and Communications Societies (IEEE Cat. No.03CH37428).

Efficient monitoring of end-to-end network properties

Mark Crovella, Eric D. Kolaczyk, David B. Chua, 2004, Proceedings IEEE 24th Annual Joint Conference of the IEEE Computer and Communications Societies..

Nonparametric Estimation of Gamma-Ray Burst Intensities Using Haar Wavelets

E. Kolaczyk, 1997 .

Coalescence and Fragmentation of Cortical Networks during Focal Seizures

M. Kramer, S. Cash, E. Eskandar, 2010, The Journal of Neuroscience.

Emergent network topology at seizure onset in humans

M. Kramer, E. Kolaczyk, H. Kirsch, 2008, Epilepsy Research.

Annotated Minimum Volume Sets for Nonparametric Anomaly Discovery

C. Scott, E. Kolaczyk, 2007, 2007 IEEE/SP 14th Workshop on Statistical Signal Processing.

Multiscale generalised linear models for nonparametric function estimation

Robert Nowak, Eric D. Kolaczyk, R. Nowak, 2005 .

MYCN controls an alternative RNA splicing program in high-risk metastatic neuroblastoma.

E. Kolaczyk, J. Khan, Jun S. Wei, 2016, Cancer letters.

Probabilistic Protein Function Prediction from Heterogeneous Genome-Wide Data

Simon Kasif, Eric D. Kolaczyk, Naoki Nariai, 2007, PloS one.

A Wavelet Shrinkage Approach to Tomographic Image Reconstruction

E. Kolaczyk, 1996 .

A Bayesian multiscale framework for SPECT

Robert Nowak, Eric D. Kolaczyk, David S. Lalush, 1999, 1999 IEEE Nuclear Science Symposium. Conference Record. 1999 Nuclear Science Symposium and Medical Imaging Conference (Cat. No.99CH37019).

Emergence of Persistent Networks in Long-Term Intracranial EEG Recordings

Uri T Eden, Sydney S Cash, Matt T Bianchi, 2011, The Journal of Neuroscience.

Multiscale, Multigranular Statistical Image Segmentation

Eric D. Kolaczyk, Sucharita Gopal, Junchang Ju, 2005 .

SURVEY ON WAVELET STATISTICS

B. Silverman, J. Pesquet, D. Leporini, 2004 .

A Bayesian Covariance Graph and Latent Position Model for Multivariate Financial Time Series

D. F. Ahelegbey, Luis Carvalho, E. Kolaczyk, 2017, 1712.06797.

Detection of multiple perturbations in multi‐omics biological networks

Paula J. Griffin, W. Johnson, E. Kolaczyk, 2015, Biometrics.

Modeling and Prediction for Processes on Network Graphs

E. Kolaczyk, Gábor Csárdi, 2020, Statistical Analysis of Network Data with R.

A statistical multiscale framework for Poisson inverse problems

R. Nowak, E. Kolaczyk, 2000, IEEE Trans. Inf. Theory.

Wavelet-Based Multifractal Analysis of Human Balance

Eric D. Kolaczyk, E. Kolaczyk, Carlos J. Morales, 2002, Annals of Biomedical Engineering.

On the covariance properties of certain multiscale spatial processes

E. Kolaczyk, Mary M. Louie, 2004 .

A statistical multiscale framework for Poisson inverse problems

Robert D. Nowak, Eric D. Kolaczyk, R. Nowak, 2000, IEEE Trans. Inf. Theory.

Some Observations on the Tractability of Certain Multi-Scale Models

E. Kolaczyk, 1999 .

Bayesian classification, anomaly detection, and survival analysis using network inputs with application to the microbiome

Eric D. Kolaczyk, Lizhen Lin, Steven Rosenberg, 2020, The Annals of Applied Statistics.

Bayesian multiscale deconvolution applied to gamma-ray spectroscopy

E. Kolaczyk, M. McConnell, J. Ryan, 2003 .

Estimation of Subgraph Densities in Noisy Networks

E. Kolaczyk, Q. Yao, Jinyuan Chang, 2018, Journal of the American Statistical Association.

Dynamic Networks with Multi-scale Temporal Structure

E. Kolaczyk, Apratim Ganguly, Xinyu Kang, 2017, Sankhya A.

Convex combination sequence kernel association test for rare‐variant studies

E. Kolaczyk, J. Meigs, J. Dupuis, 2020, Genetic epidemiology.

Nonparametric Assessment of Contamination in Multivariate Data Using Minimum Volume Sets and FDR

Eric D. Kolaczyk, Clayton Scott, C. Scott, 2007 .

Analysis of Network Flow Data

E. Kolaczyk, Gábor Csárdi, 2020, Use R!.

Dynamic Networks with Multi-scale Temporal Structure

E. Kolaczyk, Apratim Ganguly, Xinyu Kang, 2017, Sankhya A.

Visualizing Network Data

E. Kolaczyk, Gábor Csárdi, 2020, Use R!.

Dynamic Networks

E. Kolaczyk, Gábor Csárdi, 2020, Use R!.

Evidence for GeV emission from the Galactic center fountain

E. Kolaczyk, D. Hartmann, J. Samimi, 1997, astro-ph/9709029.

Multiscale likelihood analysis and complexity penalized estimation

R. Nowak, E. Kolaczyk, 2004, math/0406424.

Evidence for a Galactic gamma-ray halo

E. Kolaczyk, R. Diehl, D. Hartmann, 1998, astro-ph/9803237.

Modeling gene-covariate interactions in sparse regression with group structure for genome-wide association studies

E. Kolaczyk, G. O'Connor, Yun Li, 2015, Statistical applications in genetics and molecular biology.

Causal Inference under Network Interference with Noise

D. Sussman, E. Kolaczyk, Wenrui Li, 2021, 2105.04518.

Disentangling positive and negative partisanship in social media interactions using a coevolving latent space network with attractors model

Dino P. Christenson, K. Spiliopoulos, E. Kolaczyk, 2021, 2109.13129.

MULTISCALE LIKELIHOOD ANALYSIS AND COMPLEXITY PENALIZED ESTIMATION 1

R. Nowak, E. Kolaczyk, 2004 .

Some Observations on the Tractability of Certain Multi-Scale Models

E. Kolaczyk, 1999 .

Evidence for GeV emission from the Galactic center fountain

E. Kolaczyk, D. Hartmann, J. Samimi, 1997, astro-ph/9709029.

Early Introduction and Rise of the Omicron Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Variant in Highly Vaccinated University Populations

Jared R. Auclair, Pardis C Sabeti, E. Kolaczyk, 2022 .

Assessment of a COVID-19 Control Plan on an Urban University Campus During a Second Wave of the Pandemic

D. Densmore, E. Kolaczyk, H. Jenkins, 2021, JAMA network open.

Control of COVID-19 transmission on an urban university campus during a second wave of the pandemic

D. Densmore, E. Kolaczyk, H. Jenkins, 2021, medRxiv.

On the Useof Prior andPosteriorInformation in the Sub-Pixel ProportionProblem

E. Kolaczyk, 2003 .

Statistics Practicum: Placing 'Practice' at the Center of Data Science Education

E. Kolaczyk, M. Yajima, Haviland Wright, 2020, Issue 3.1, Winter 2021.

Estimation of the Branching Factor in Noisy Networks

D. Sussman, E. Kolaczyk, Wenrui Li, 2023, IEEE Transactions on Network Science and Engineering.

Averages of unlabeled networks: Geometric characterization and asymptotic behavior

Lizhen Lin, Jie Xu, Steven Rosenberg, 2017, The Annals of Statistics.

On the Propagation of Low-Rate Measurement Error to Subgraph Counts in Large Networks

Eric D. Kolaczyk, Weston D. Viles, Prakash Balachandran, 2014, J. Mach. Learn. Res..

Hypothesis Testing For Network Data in Functional Neuroimaging

Jun Li, Eric D. Kolaczyk, Cedric E. Ginestet, 2014, 1407.5525.

Network‐based Auto‐probit Modeling for Protein Function Prediction

David Gold, Xiaoyu Jiang, Eric D Kolaczyk, 2011, Biometrics.

Estimating network degree distributions under sampling: An inverse problem, with applications to monitoring social media networks

Bruce D. Spencer, Yaonan Zhang, Eric D. Kolaczyk, 2013, 1305.4977.

Estimation of local time-varying reproduction numbers in noisy surveillance data

E. Kolaczyk, L. White, K. Bulekova, 2021, Philosophical Transactions of the Royal Society A.

Estimation of heterogeneous instantaneous reproduction numbers with application to characterize SARS-CoV-2 transmission in Massachusetts counties

E. Kolaczyk, Zhenwei Zhou, R. Thompson, 2021, medRxiv.

Early Introduction and Rise of the Omicron Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Variant in Highly Vaccinated University Populations

Jared R. Auclair, Pardis C Sabeti, E. Kolaczyk, 2022, Clinical Infectious Diseases: An Official Publication of the Infectious Diseases Society of America.

Early Introduction and Rise of the Omicron Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Variant in Highly Vaccinated University Populations

Jared R. Auclair, Pardis C Sabeti, E. Kolaczyk, 2022, medRxiv.

Disentangling positive and negative partisanship in affective polarization using a coevolving latent space network with attractors model

Konstantinos Spiliopoulos, Dino P. Christenson, Eric D. Kolaczyk, 2021 .

Disentangling the positive partisanship from the negative in affective polarization using a coevolving latent space network with attractors (CLSNA) model

Dino P. Christenson, Dylan, K. Spiliopoulos, 2021 .

Network-guided sparse regression modeling for detection of gene-by-gene interactions

Chen Lu, Eric D. Kolaczyk, Josée Dupuis, 2013, Bioinform..

Improvement of experimental testing and network training conditions with genome-wide microarrays for more accurate predictions of drug gene targets

Eric D. Kolaczyk, Lisa Pham, Lisa M. Christadore, 2014, BMC Systems Biology.

Target Detection Via Network Filtering

Shu Yang, Eric D. Kolaczyk, E. Kolaczyk, 2009, IEEE Transactions on Information Theory.

Peripheral Blood Transcriptomic Signatures of Fasting Glucose and Insulin Concentrations

Andrew D. Johnson, M. Peters, S. Bandinelli, 2016, Diabetes.

Multiscale network analysis through tail-greedy bottom-up approximation, with applications in neuroscience

Mark Kramer, Catherine Chu, Piotr Fryzlewicz, 2017, 2017 51st Asilomar Conference on Signals, Systems, and Computers.

Do Asian-American women who were maltreated as children have a higher likelihood for HIV risk behaviors and adverse mental health outcomes?

E. Kolaczyk, H. Hahm, Yookyong Lee, 2012, Women's health issues : official publication of the Jacobs Institute of Women's Health.

Feasibility, preliminary efficacy, and safety of a randomized clinical trial for Asian Women's Action for Resilience and Empowerment (AWARE) intervention.

E. Kolaczyk, H. Hahm, C. Lee, 2019, The American journal of orthopsychiatry.

The in vivo genetic program of murine primordial lung epithelial progenitors

Ignacio S. Caballero, E. Kolaczyk, E. Morrisey, 2020, Nature Communications.

Quantifying Uncertainty for Temporal Motif Estimation in Graph Streams under Sampling

E. Kolaczyk, Xiaojing Zhu, 2022, 2202.10513.

Robust dynamic community detection with applications to human brain functional networks

L.-E. Martinet, M. A. Kramer, W. Viles, 2020, Nature Communications.

Estimation of vertex degrees in a sampled network

Eric D. Kolaczyk, Apratim Ganguly, E. Kolaczyk, 2017, 2017 51st Asilomar Conference on Signals, Systems, and Computers.

Wolbachia Enhance Drosophila Stem Cell Proliferation and Target the Germline Stem Cell Niche

E. Kolaczyk, H. Frydman, E. Fast, 2011, Science.

Intrusion as (anti)social communication: characterization and detection

Paul Barford, Mark Crovella, Natallia Katenka, 2012, KDD.

Statistical Models for Network Graphs

Eric D. Kolaczyk, Gábor Csárdi, E. Kolaczyk, 2020, Use R!.

Perturbation Detection Through Modeling of Gene Expression on a Latent Biological Pathway Network: A Bayesian Hierarchical Approach

Eric D Kolaczyk, Lisa M Pham, Luis Carvalho, 2014, Journal of the American Statistical Association.

Predicting gene targets of perturbations via network-based filtering of mRNA expression compendia

Eric D. Kolaczyk, Elissa J. Cosgrove, Timothy S. Gardner, 2008, Bioinform..

ViLoN—a multi-layer network approach to data integration demonstrated for patient stratification

David P. Kreil, E. Kolaczyk, Maciej M Kańduła, 2022, Nucleic acids research.

On the Choice and Number of Microarrays for Transcriptional Regulatory Network Inference

Eric D. Kolaczyk, Elissa J. Cosgrove, Timothy S. Gardner, 2010, BMC Bioinformatics.

Control of Huntington's Disease-Associated Phenotypes by the Striatum-Enriched Transcription Factor Foxp2.

J. Mesirov, Adrian M Heilbut, E. Kolaczyk, 2017, Cell reports.

Sensor-based localization of epidemic sources on human mobility networks

E. Kolaczyk, E. Bertuzzo, Juliane Manitz, 2020, PLoS Comput. Biol..

Initial evaluation of the effects of an environmental‐focused problem‐solving intervention for transition‐age young people with developmental disabilities: Project TEAM

E. Kolaczyk, A. Goeva, M. Levin, 2018, Developmental medicine and child neurology.

A Compressed PCA Subspace Method for Anomaly Detection in High-Dimensional Data

Eric D. Kolaczyk, Qi Ding, E. Kolaczyk, 2011, IEEE Transactions on Information Theory.

Inferring the Type of Phase Transitions Undergone in Epileptic Seizures Using Random Graph Hidden Markov Models for Percolation in Noisy Dynamic Networks

M. Kramer, E. Kolaczyk, Xiaojing Zhu, 2021, 2102.11948.

A procedure to increase the power of Granger-causal analysis through temporal smoothing

E. Spencer, L. -E. Martinet, E. N. Eskandar, 2018, Journal of Neuroscience Methods.

Statistical Analysis of Network Data: Methods and Models

Eric D. Kolaczyk, E. Kolaczyk, 2009 .

Binge Drinking Trajectories from Adolescence to Young Adulthood: The Effects of Peer Social Network

E. Kolaczyk, H. Hahm, T. Swenson, 2012, Substance use & misuse.

Online ratings: Convergence towards a positive perspective?

Mark Crovella, Theodoros Lappas, Yaonan Zhang, 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Co-Betweenness: A Pairwise Notion of Centrality pdf

Marc Barthelemy, Eric D. Kolaczyk, David B. Chua, 2007, ArXiv.

Network Inference from TraceRoute Measurements: Internet Topology 'Species' pdf

Alain Barrat, Luca Dall'Asta, Cun-Hui Zhang, 2005, ArXiv.

Network inference with confidence from multivariate time series.

Uri T Eden, Sydney S Cash, Eric D Kolaczyk, 2009, Physical review. E, Statistical, nonlinear, and soft matter physics.

EmergenceofPersistentNetworksinLong-Term IntracranialEEGRecordings

MarkA . Kramer, KyleQ . Lepage, EricD . Kolaczyk, 2011 .

Statistical Analysis of Network Data with R

Eric D. Kolaczyk, Gbor Csrdi, E. Kolaczyk, 2020, Use R!.

Molecular adaptations of striatal spiny projection neurons during levodopa-induced dyskinesia

P. Greengard, J. Mesirov, D. Surmeier, 2014, Proceedings of the National Academy of Sciences.

What is the real size of a sampled network? The case of the Internet.

Alain Barrat, Fabien Viger, Luca Dall'Asta, 2007, Physical review. E, Statistical, nonlinear, and soft matter physics.

A paradigm for longitudinal complex network analysis over patient cohorts in neuroscience

Eric D. Kolaczyk, Yorghos Tripodis, Ronald J. Killiany, 2019, Network Science.

Percolation under noise: Detecting explosive percolation using the second-largest component.

Cedric E. Ginestet, Eric D Kolaczyk, Mark A Kramer, 2014, Physical review. E.

Differentially Private Confidence Intervals for Proportions under Stratified Random Sampling

Adam D. Smith, E. Kolaczyk, Marco Gaboardi, 2023, 2301.08324.

Complexity-penalized estimation of minimum volume sets for dependent data

J. Di, Eric Kolaczyk, E. Kolaczyk, 2010, J. Multivar. Anal..

Nonparametric Assessment of Contamination in Multivariate Data Using Generalized Quantile Sets and FDR

Eric D. Kolaczyk, Clayton Scott, C. Scott, 2010 .

On the Question of Effective Sample Size in Network Modeling: An Asymptotic Inquiry.

Pavel N Krivitsky, Eric D Kolaczyk, E. Kolaczyk, 2011, Statistical science : a review journal of the Institute of Mathematical Statistics.

Estimation of the Epidemic Branching Factor in Noisy Contact Networks

Daniel L. Sussman, Eric D. Kolaczyk, Wenrui Li, 2020, 2002.05763.

Integration of relational and hierarchical network information for protein function prediction

Xiaoyu Jiang, Simon Kasif, Martin Steffen, 2008, BMC Bioinformatics.

Distinguishing between different percolation regimes in noisy dynamic networks with an application to epileptic seizures

E. Kolaczyk, Xiaojing Zhu, Heather Shappell, 2023, PLoS Comput. Biol..

Robust dynamic community detection with applications to human brain functional networks

M. Kramer, S. Cash, E. Kolaczyk, 2020, Nature Communications.

On the choice of spatial and categorical scale in remote sensing land cover classification

Eric D. Kolaczyk, Sucharita Gopal, Junchang Ju, 2005 .

Gaussian mixture discriminant analysis and sub-pixel land cover characterization in remote sensing

Eric D. Kolaczyk, Sucharita Gopal, Junchang Ju, 2003 .

Mathematical Models for Network Graphs

Eric D. Kolaczyk, Gábor Csárdi, E. Kolaczyk, 2020, Use R!.

Topics at the Frontier of Statistics and Network Analysis: (Re)Visiting the Foundations

Eric D. Kolaczyk, E. Kolaczyk, 2017 .

Group betweenness and co-betweenness: Inter-related notions of coalition centrality

Marc Barthelemy, Eric D. Kolaczyk, David B. Chua, 2009, Soc. Networks.

Discussion of “Co-citation and Co-authorship Networks of Statisticians”

E. Kolaczyk, X. Zhu, 2022, Journal of Business & Economic Statistics.

Combining Hierarchical Inference in Ontologies with Heterogeneous Data Sources Improves Gene Function Prediction

Xiaoyu Jiang, Simon Kasif, Martin Steffen, 2008, 2008 IEEE International Conference on Bioinformatics and Biomedicine.

Integration of Network Information for Protein Function Prediction

Eric D. Kolaczyk, Xiaoyu Jiang, E. Kolaczyk, 2010 .

Surveying Hard-to-Reach Groups Through Sampled Respondents in a Social Network

Tian Zheng, Eric D. Kolaczyk, Tyler H. McCormick, 2012 .

Differentially Private Linear Regression with Linked Data

E. Kolaczyk, Elliot Paquette, Shurong Lin, 2023, ArXiv.

Statistical Research in Networks: Looking Forward

Eric D. Kolaczyk, E. Kolaczyk, 2018, Encyclopedia of Social Network Analysis and Mining. 2nd Ed..

Inference of Network Summary Statistics Through Network Denoising

Prakash Balachandran, Edoardo Airoldi, Eric Kolaczyk, 2013, 1310.0423.

A Bayesian Covariance Graph and Latent Position Model for Multivariate Financial Time Series

Luis Carvalho, E. Kolaczyk, D. Ahelegbey, 2020 .

On the use of prior and posterior information in the subpixel proportion problem

Eric D. Kolaczyk, E. Kolaczyk, 2003, IEEE Trans. Geosci. Remote. Sens..

A Latent Eigenprobit Model with Link Uncertainty for Prediction of Protein–Protein Interactions

Eric D. Kolaczyk, Xiaoyu Jiang, E. Kolaczyk, 2012 .

A Latent Eigenprobit Model with Link Uncertainty for Prediction of Protein–Protein Interactions

E. Kolaczyk, Xiaoyu Jiang, 2011, Statistics in Biosciences.

Introduction

E. Kolaczyk, Gábor Csárdi, 2020, Use R!.

We Need a (Responsible!) Data Science Rapid Response Network

Eric D. Kolaczyk, Jing Liu, Meredith M. Lee, 2021, Issue 3.1, Winter 2021.

A Spectral-Based Framework for Hypothesis Testing in Populations of Networks

LI CHEN, NATHANIEL JOSEPHS, LIZHEN LIN, 2020, Statistica Sinica.

Estimation of edge density in noisy networks

Eric D. Kolaczyk, Qiwei Yao, Jinyuan Chang, 2018 .

Estimation of subgraph density in noisy networks

E. Kolaczyk, Q. Yao, Jinyuan Chang, 2018 .

Interactions across Multiple Stimulus Dimensions in Primary Auditory Cortex

Kamal Sen, Daniel B. Polley, Ran Zhuo, 2016, eNeuro.

Models for Network Graphs

Eric D. Kolaczyk, E. Kolaczyk, 2009 .

Weighted Frechet Means as Convex Combinations in Metric Spaces: Properties and Generalized Median Inequalities

Eric D. Kolaczyk, Cedric E. Ginestet, A. Simmons, 2012, 1204.2194.

Modeling and Prediction for Processes on Network Graphs

Eric D. Kolaczyk, Gábor Csárdi, E. Kolaczyk, 2020, Statistical Analysis of Network Data with R.

Context inclusive function evaluation: a case study with EM-based multi-scale multi-granular image classification

Shashi Shekhar, James M. Kang, Eric D. Kolaczyk, 2009, Knowledge and Information Systems.

Statistical Analysis of Network Data

E. Kolaczyk, 2009 .

Manipulating Network Data

Eric D. Kolaczyk, Gábor Csárdi, E. Kolaczyk, 2020, Use R!.

Percolation under noise: Detecting explosive percolation using the second-largest component.

Cedric E. Ginestet, M. Kramer, E. Kolaczyk, 2014, Physical review. E.

Functional networks and dynamics in human seizure activity

M. Kramer, S. Cash, E. Kolaczyk, 2011, BMC Neuroscience.

Approximation of the difference of two Poisson-like counts by Skellam

Eric D. Kolaczyk, Han Liang Gan, E. Kolaczyk, 2017, Journal of Applied Probability.

Structural analysis of network traffic flows

Anukool Lakhina, M. Crovella, C. Diot, 2004, SIGMETRICS '04/Performance '04.

Inference and Characterization of Multi-Attribute Networks with Application to Computational Biology

Natallia Katenka, Eric D. Kolaczyk, Natallia V. Katenka, 2011, 1109.3160.

Network-based prediction for sources of transcriptional dysregulation using latent pathway identification analysis

Lisa M. Christadore, E. Kolaczyk, S. Schaus, 2011, Proceedings of the National Academy of Sciences.

Integrated Project Member of the FET Proactive Initiative Complex Systems DELIS-TR-0178 Network Inference from TraceRoute Measurements: Internet Topology ’Species’

Cun-Hui Zhang, A. Barrat, E. Kolaczyk, 2005 .

Network Kriging

Mark Crovella, Eric D. Kolaczyk, David B. Chua, 2005, IEEE Journal on Selected Areas in Communications.

Comment

E. Kolaczyk, A. Goeva, 2016 .

Statistical Analysis of Network Data with R

E. Kolaczyk, Gbor Csrdi, 2020, Use R!.

Statistical Analysis of Network Data with R

E. Kolaczyk, Matthew Nunes, G´abor Cs´ardi, 2015 .

Multiscale Statistical Models for Hierarchical Spatial Aggregation

Haiying Huang, Eric D. Kolaczyk, E. Kolaczyk, 2010 .

Meta-Analysis for Penalized Regression Methods with Multi-Cohort Genome-Wide Association Studies

Eric D. Kolaczyk, Josée Dupuis, George T. O'Connor, 2016, Human Heredity.