Eric D. Kolaczyk

发表

Statistical Analysis of Network Data: Methods and Models

Eric D. Kolaczyk, E. Kolaczyk, 2009 .

Target Detection Via Network Filtering

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

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..

Statistical Models for Network Graphs

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

Analysis of Network Flow Data

Eric D. Kolaczyk, Gábor Csárdi, 2009 .

Graph wavelets for spatial traffic analysis

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).

Multiscale Statistical Models

Robert Nowak, Eric D. Kolaczyk, 2003 .

Network Topology Inference

Eric D. Kolaczyk, Gábor Csárdi, 2014 .

Network Kriging

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

Estimation of subgraph densities in noisy networks

Eric D. Kolaczyk, Qiwei Yao, Jinyuan Chang, 2020 .

Visualizing Network Data

Eric D. Kolaczyk, Gábor Csárdi, 2014 .

Network-based Statistical Models and Methods for Identication of Cellular Mechanisms of Action

Eric D. Kolaczyk, 2013 .

Analysis of OD Flows (Raw Data)

Konstantina Papagiannaki, Mark Crovella, Christophe Diot, 2003 .

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

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

Multi-Attribute Networks and the Impact of Partial Information on Inference and Characterization pdf

Natallia Katenka, Eric D. Kolaczyk, 2011, ArXiv.

Statistical Aspects of Information Integration

Eric D. Kolaczyk, 2009 .

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

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

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

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

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

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

Estimation of the Epidemic Branching Factor in Noisy Contact Networks

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

Sensor-based localization of epidemic sources on human mobility networks

Enrico Bertuzzo, Eric D. Kolaczyk, Juliane Manitz, 2020 .

Integration of relational and hierarchical network information for protein function prediction

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

A statistical multiscale framework for Poisson inverse problems

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

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

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

Models for Network Graphs

Eric D. Kolaczyk, E. Kolaczyk, 2009 .

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

Eric D. Kolaczyk, E. Kolaczyk, 2017 .

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..

Power from Understanding the Shape of Measurement: Progress in Bayesian Inference for Astrophysics - Commentary

Eric D. Kolaczyk, 2003 .

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.

Efficient monitoring of end-to-end network properties

Mark Crovella, Eric D. Kolaczyk, David B. Chua, 2005, INFOCOM.

Intrusion as (anti)social communication: characterization and detection

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

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.

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

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

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

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

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

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

Editorial: Complexity and emergence in brain network analyses

Eric D. Kolaczyk, Sean L. Simpson, Qawi K. Telesford, 2015, Front. Comput. Neurosci..

Co-Betweenness: A Pairwise Notion of Centrality pdf

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

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.

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

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

Hypothesis Testing For Network Data in Functional Neuroimaging

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

Sampling and Estimation in Network Graphs

Eric D. Kolaczyk, 2009 .

Estimation of Intensities of Burst-Like Poisson Processes Using Haar Wavelets

Eric D. Kolaczyk, 1996 .

Descriptive Analysis of Network Graph Characteristics

Eric D. Kolaczyk, Gábor Csárdi, 2014 .

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

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

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.

Statistical Analysis of Network Data

Eric D. Kolaczyk, E. Kolaczyk, 2009 .

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).

A Bayesian multiscale framework for Poisson inverse problems

Robert D. Nowak, Eric D. Kolaczyk, 1999, 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258).

Multiscale Statistical Models for Hierarchical Spatial Aggregation

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

Statistical Research in Networks: Looking Forward

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

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

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

Multi-scale "spatial" analysis of computer network traffic data

Mark Crovella, Eric D. Kolaczyk, 2003, IEEE Workshop on Statistical Signal Processing, 2003.

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.

Statistical Analysis of Network Data with R

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

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

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

Integration of Network Information for Protein Function Prediction

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

Modeling and Prediction for Processes on Network Graphs

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

Structural analysis of network traffic flows

Konstantina Papagiannaki, Mark Crovella, Christophe Diot, 2004, SIGMETRICS '04/Performance '04.

Bayesian Multiscale Methods for Poisson Count Data

Eric D. Kolaczyk, 2003 .

Distributed Spatial Anomaly Detection

Mark Crovella, Clayton D. Scott, Parminder Chhabra, 2008, IEEE INFOCOM 2008 - The 27th Conference on Computer Communications.

Multiscale gene sets from protein interaction networks

Shu Yang, Eric D. Kolaczyk, Lisa Pham, 2013, 2013 IEEE Global Conference on Signal and Information Processing.

Context-Inclusive Approach to Speed-up Function Evaluation for Statistical Queries : An Extended Abstract

Shashi Shekhar, James M. Kang, Eric D. Kolaczyk, 2006, Sixth IEEE International Conference on Data Mining - Workshops (ICDMW'06).

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

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

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.

Reconstruction in emission tomography via a Bayesian multiscale statistical framework

Robert Nowak, Eric D. Kolaczyk, 2000, SPIE Optics + Photonics.

Manipulating Network Data

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

Mathematical Models for Network Graphs

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

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.

Statistical Research in Networks - Looking Forward

Eric D. Kolaczyk, 2014, Encyclopedia of Social Network Analysis and Mining.

Bayesian multiscale tomographic reconstruction

Robert D. Nowak, Eric D. Kolaczyk, Benjamin M. W. Tsui, 2000, 2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100).

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

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

Statistical analysis for whole networks

Eric D. Kolaczyk, David B. Chua, 2006 .

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.

Network Recovery from Unlabeled Noisy Samples

Eric D. Kolaczyk, Nathaniel Josephs, Wenrui Li, 2021 .

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 .

Edge differentially private estimation in the $\beta$-model via jittering and method of moments

Fengting Yi, Eric D. Kolaczyk, Qiwei Yao, 2021 .

Causal Inference under Network Interference with Noise

Daniel L. Sussman, Eric D. Kolaczyk, Wenrui Li, 2021 .

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

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

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

Eric D. Kolaczyk, Mark A. Kramer, Xiaojing Zhu, 2021 .

Wavelet-Based Multifractal Analysis of Human Balance

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

Estimation of edge density in noisy networks

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

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

Eric D. Kolaczyk, Prakash Balachandran, Weston Viles, 2014 .

Exponential-type Inequalities Involving Ratios of the Modified Bessel Function of the First Kind and their Applications

Eric D. Kolaczyk, Prakash Balachandran, Weston Viles, 2013 .

Multiscale generalised linear models for nonparametric function estimation

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

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.

Probabilistic Protein Function Prediction from Heterogeneous Genome-Wide Data

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

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).

Multiscale, Multigranular Statistical Image Segmentation

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

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

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

Wavelet shrinkage in tomography

Eric D. Kolaczyk, 1994, Proceedings of 16th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.