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ORCIDEric D. Kolaczyk
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- affiliation: Boston University, Department of Mathematics and Statistics, MA, USA
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2020 – today
- 2024
[i8]Hancong Pan, Xiaojing Zhu, Cantay Caliskan, Dino P. Christenson, Konstantinos Spiliopoulos, Dylan Walker, Eric D. Kolaczyk:
Stochastic gradient descent-based inference for dynamic network models with attractors. CoRR abs/2403.07124 (2024)- 2023
- [j21]Xiaojing Zhu
, Heather Shappell, Mark A. Kramer, Catherine Jean Chu, Eric D. Kolaczyk:
Distinguishing between different percolation regimes in noisy dynamic networks with an application to epileptic seizures. PLoS Comput. Biol. 19(6) (2023) - [j20]Wenrui Li, Daniel L. Sussman, Eric D. Kolaczyk:
Estimation of the Branching Factor in Noisy Networks. IEEE Trans. Netw. Sci. Eng. 10(1): 565-577 (2023) - [c16]Andrew Piper, Hao Xu, Eric D. Kolaczyk:
Modeling Narrative Revelation. CHR 2023: 500-511 - [i7]Shurong Lin, Mark Bun, Marco Gaboardi, Eric D. Kolaczyk, Adam Smith:
Differentially Private Confidence Intervals for Proportions under Stratified Random Sampling. CoRR abs/2301.08324 (2023) - [i6]Shurong Lin, Elliot Paquette, Eric D. Kolaczyk:
Differentially Private Linear Regression with Linked Data. CoRR abs/2308.00836 (2023) - 2022
- [j19]Zhenwei Zhou, Eric D. Kolaczyk, Robin N. Thompson, Laura F. White:
Estimation of heterogeneous instantaneous reproduction numbers with application to characterize SARS-CoV-2 transmission in Massachusetts counties. PLoS Comput. Biol. 18(9): 1010434 (2022) - 2021
- [j18]Jun Li, Juliane Manitz, Enrico Bertuzzo, Eric D. Kolaczyk:
Sensor-based localization of epidemic sources on human mobility networks. PLoS Comput. Biol. 17(1) (2021) - [c15]Nathaniel Josephs, Wenrui Li, Eric D. Kolaczyk:
Network Recovery from Unlabeled Noisy Samples. ACSCC 2021: 1268-1273
2010 – 2019
- 2019
- [j17]Heather Shappell, Yorghos Tripodis, Ronald J. Killiany, Eric D. Kolaczyk:
A paradigm for longitudinal complex network analysis over patient cohorts in neuroscience. Netw. Sci. 7(2): 196-214 (2019) - 2018
- [j16]Han Liang Gan, Eric D. Kolaczyk:
Approximation of the difference of two Poisson-like counts by Skellam. J. Appl. Probab. 55(2): 416-430 (2018) - [r2]Eric D. Kolaczyk:
Statistical Research in Networks: Looking Forward. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. 2018 - 2017
- [j15]Prakash Balachandran, Eric D. Kolaczyk, Weston D. Viles:
On the Propagation of Low-Rate Measurement Error to Subgraph Counts in Large Networks. J. Mach. Learn. Res. 18: 61:1-61:33 (2017) - [c14]Apratim Ganguly, Eric D. Kolaczyk:
Estimation of vertex degrees in a sampled network. ACSSC 2017: 967-974 - [c13]Xinyu Kang, Piotr Fryzlewicz, Catherine Jean Chu, Mark A. Kramer, Eric D. Kolaczyk:
Multiscale network analysis through tail-greedy bottom-up approximation, with applications in neuroscience. ACSSC 2017: 1549-1554 - 2015
- [j14]Qawi K. Telesford, Sean L. Simpson, Eric D. Kolaczyk:
Editorial: Complexity and emergence in brain network analyses. Frontiers Comput. Neurosci. 9: 65 (2015) - 2014
- [j13]Lisa M. Christadore, Lisa Pham, Eric D. Kolaczyk, Scott E. Schaus:
Improvement of experimental testing and network training conditions with genome-wide microarrays for more accurate predictions of drug gene targets. BMC Syst. Biol. 8: 7 (2014) - [c12]Yaonan Zhang, Theodoros Lappas, Mark Crovella, Eric D. Kolaczyk:
Online ratings: Convergence towards a positive perspective? ICASSP 2014: 4788-4792 - [r1]Eric D. Kolaczyk:
Statistical Research in Networks - Looking Forward. Encyclopedia of Social Network Analysis and Mining 2014: 2056-2062 - 2013
- [j12]Chen Lu, Jeanne Latourelle, George T. O'Connor, Josée Dupuis, Eric D. Kolaczyk:
Network-guided sparse regression modeling for detection of gene-by-gene interactions. Bioinform. 29(10): 1241-1249 (2013) - [j11]Qi Ding, Eric D. Kolaczyk:
A Compressed PCA Subspace Method for Anomaly Detection in High-Dimensional Data. IEEE Trans. Inf. Theory 59(11): 7419-7433 (2013) - [c11]Shu Yang, Lisa Pham, Lisa M. Christadore, Scott E. Schaus, Eric D. Kolaczyk:
Multiscale gene sets from protein interaction networks. GlobalSIP 2013: 435-438 - 2012
- [c10]Qi Ding, Natallia Katenka, Paul Barford, Eric D. Kolaczyk, Mark Crovella:
Intrusion as (anti)social communication: characterization and detection. KDD 2012: 886-894 - 2011
- [i5]Natallia Katenka, Eric D. Kolaczyk:
Multi-Attribute Networks and the Impact of Partial Information on Inference and Characterization. CoRR abs/1109.3160 (2011) - 2010
- [j10]Elissa J. Cosgrove, Timothy S. Gardner, Eric D. Kolaczyk:
On the Choice and Number of Microarrays for Transcriptional Regulatory Network Inference. BMC Bioinform. 11: 454 (2010) - [j9]J. Di, Eric D. Kolaczyk:
Complexity-penalized estimation of minimum volume sets for dependent data. J. Multivar. Anal. 101(9): 1910-1926 (2010) - [j8]Shu Yang, Eric D. Kolaczyk:
Target detection via network filtering. IEEE Trans. Inf. Theory 56(5): 2502-2515 (2010)
2000 – 2009
- 2009
- [j7]Vijay Gandhi, James M. Kang, Shashi Shekhar, Junchang Ju, Eric D. Kolaczyk, Sucharita Gopal:
Context inclusive function evaluation: a case study with EM-based multi-scale multi-granular image classification. Knowl. Inf. Syst. 21(2): 231-247 (2009) - [j6]Eric D. Kolaczyk, David B. Chua, Marc Barthelemy:
Group betweenness and co-betweenness: Inter-related notions of coalition centrality. Soc. Networks 31(3): 190-203 (2009) - 2008
- [j5]Elissa J. Cosgrove, Yingchun Zhou, Timothy S. Gardner, Eric D. Kolaczyk:
Predicting gene targets of perturbations via network-based filtering of mRNA expression compendia. Bioinform. 24(21): 2482-2490 (2008) - [j4]Xiaoyu Jiang, Naoki Nariai, Martin Steffen, Simon Kasif, Eric D. Kolaczyk:
Integration of relational and hierarchical network information for protein function prediction. BMC Bioinform. 9 (2008) - [c9]Xiaoyu Jiang, Naoki Nariai, Martin Steffen, Simon Kasif, David Gold, Eric D. Kolaczyk:
Combining Hierarchical Inference in Ontologies with Heterogeneous Data Sources Improves Gene Function Prediction. BIBM 2008: 411-416 - [c8]Parminder Chhabra, Clayton D. Scott, Eric D. Kolaczyk, Mark Crovella:
Distributed Spatial Anomaly Detection. INFOCOM 2008: 1705-1713 - 2007
- [i4]Eric D. Kolaczyk, David B. Chua, Marc Barthelemy:
Co-Betweenness: A Pairwise Notion of Centrality. CoRR abs/0709.3420 (2007) - 2006
- [j3]David B. Chua, Eric D. Kolaczyk, Mark Crovella:
Network Kriging. IEEE J. Sel. Areas Commun. 24(12): 2263-2272 (2006) - [c7]Vijay Gandhi, James M. Kang, Shashi Shekhar, Junchang Ju, Eric D. Kolaczyk, Sucharita Gopal:
Context-Inclusive Approach to Speed-up Function Evaluation for Statistical Queries : An Extended Abstract. ICDM Workshops 2006: 371-376 - 2005
- [c6]David B. Chua, Eric D. Kolaczyk, Mark Crovella:
Efficient monitoring of end-to-end network properties. INFOCOM 2005: 1701-1711 - [c5]David B. Chua, Eric D. Kolaczyk, Mark Crovella:
A statistical framework for efficient monitoring of end-to-end network properties. SIGMETRICS 2005: 390-391 - [i3]Fabien Viger, Alain Barrat, Luca Dall'Asta, Cun-Hui Zhang, Eric D. Kolaczyk:
Network Inference from TraceRoute Measurements: Internet Topology 'Species'. CoRR abs/cs/0510007 (2005) - [i2]David B. Chua, Eric D. Kolaczyk, Mark Crovella:
Network Kriging. CoRR abs/math/0510013 (2005) - 2004
- [c4]Anukool Lakhina, Konstantina Papagiannaki, Mark Crovella, Christophe Diot, Eric D. Kolaczyk, Nina Taft:
Structural analysis of network traffic flows. SIGMETRICS 2004: 61-72 - [i1]David B. Chua, Eric D. Kolaczyk, Mark Crovella:
A Statistical Framework for Efficient Monitoring of End-to-End Network Properties. CoRR abs/cs/0412037 (2004) - 2003
- [j2]Eric D. Kolaczyk:
On the use of prior and posterior information in the subpixel proportion problem. IEEE Trans. Geosci. Remote. Sens. 41(11): 2687-2691 (2003) - [c3]Mark Crovella, Eric D. Kolaczyk:
Graph Wavelets for Spatial Traffic Analysis. INFOCOM 2003: 1848-1857 - 2000
- [j1]Robert D. Nowak, Eric D. Kolaczyk:
A statistical multiscale framework for Poisson inverse problems. IEEE Trans. Inf. Theory 46(5): 1811-1825 (2000) - [c2]Robert D. Nowak, Eric D. Kolaczyk, David S. Lalush, Benjamin M. W. Tsui:
Bayesian multiscale tomographic reconstruction. ICASSP 2000: 3779-3782
1990 – 1999
- 1999
- [c1]Robert D. Nowak, Eric D. Kolaczyk:
A Bayesian multiscale framework for Poisson inverse problems. ICASSP 1999: 1741-1744
Coauthor Index
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