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ORCIDDaniel K. Sewell
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2020 – today
- 2024
[j13]Hanh T. D. Pham
, Daniel K. Sewell:
Automated detection of edge clusters via an overfitted mixture prior. Netw. Sci. 12(1): 88-106 (2024)- [j12]Hanh T. D. Pham, Daniel K. Sewell:
Automated detection of edge clusters via an overfitted mixture prior - CORRIGENDUM. Netw. Sci. 12(2): 201 (2024) - 2022
- [j11]Elliot Burghardt, Daniel K. Sewell, Joseph E. Cavanaugh:
Agglomerative and divisive hierarchical Bayesian clustering. Comput. Stat. Data Anal. 176: 107566 (2022) - [j10]Daniel K. Sewell:
Network-Informed Constrained Divisive Pooled Testing Assignments. Frontiers Big Data 5 (2022) - 2021
- [j9]Daniel K. Sewell:
Model-Based Edge Clustering. J. Comput. Graph. Stat. 30(2): 390-405 (2021) - [j8]Haomin Li, Daniel K. Sewell:
A comparison of estimators for the network autocorrelation model based on observed social networks. Soc. Networks 66: 202-210 (2021) - [c2]D. M. Hasibul Hasan, Alex Rohwer, Hankyu Jang, Ted Herman, Philip M. Polgreen, Daniel K. Sewell, Bijaya Adhikari, Sriram V. Pemmaraju:
Modeling and Evaluation of Clustering Patient Care into Bubbles. ICHI 2021: 73-82 - [i2]D. M. Hasibul Hasan, Alex Rohwer, Hankyu Jang, Ted Herman, Philip M. Polgreen, Daniel K. Sewell, Bijaya Adhikari, Sriram V. Pemmaraju:
Modeling and Evaluation of Clustering Patient Care into Bubbles. CoRR abs/2105.06278 (2021) - 2020
- [i1]Daniel K. Sewell:
Heterogeneous Susceptibilities in Social Influence Models. CoRR abs/2005.09996 (2020)
2010 – 2019
- 2019
- [j7]Xi Zhu, Shin-Ping Tu, Daniel K. Sewell, Nengliang (Aaron) Yao, Vimal Mishra, Alan Dow, Colin A. Banas:
Measuring electronic communication networks in virtual care teams using electronic health records access-log data. Int. J. Medical Informatics 128: 46-52 (2019) - [j6]Daniel K. Sewell:
Latent space models for network perception data. Netw. Sci. 7(2): 160-179 (2019) - [c1]Hankyu Jang, Samuel Justice, Philip M. Polgreen, Alberto M. Segre, Daniel K. Sewell, Sriram V. Pemmaraju:
Evaluating architectural changes to alter pathogen dynamics in a dialysis unit: for the CDC MInD-healthcare group. ASONAM 2019: 961-968 - 2018
- [j5]Daniel K. Sewell:
Visualizing data through curvilinear representations of matrices. Comput. Stat. Data Anal. 128: 255-270 (2018) - [j4]Daniel K. Sewell:
Simultaneous and temporal autoregressive network models. Netw. Sci. 6(2): 204-231 (2018) - [j3]Daniel K. Sewell:
Heterogeneous susceptibilities in social influence models. Soc. Networks 52: 135-144 (2018) - 2017
- [j2]Daniel K. Sewell:
Network autocorrelation models with egocentric data. Soc. Networks 49: 113-123 (2017) - 2016
- [j1]Daniel K. Sewell, Yuguo Chen:
Latent space models for dynamic networks with weighted edges. Soc. Networks 44: 105-116 (2016)
Coauthor Index
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