Yuguo Chen

2024

Contribution of Tinnitus and Hearing Loss to Depression: NHANES Population Study

Chakrabarty, S., Mudar, R., Chen, Y. & Husain, F. T., May 2024, In: Ear and hearing. 45, 3, p. 775-786 12 p.

Research output: Contribution to journal › Article › peer-review

2023

A Bayesian Nonparametric Latent Space Approach to Modeling Evolving Communities in Dynamic Networks

Loyal, J. D. & Chen, Y., 2023, In: Bayesian Analysis. 18, 1, p. 49-77 29 p.

Research output: Contribution to journal › Article › peer-review

Open Access

Bayesian Inference for an Unknown Number of Attributes in Restricted Latent Class Models

Chen, Y., Culpepper, S. A. & Chen, Y., Jun 2023, In: Psychometrika. 88, 2, p. 613-635 23 p.

Research output: Contribution to journal › Article › peer-review

Higher-Order Spectral Clustering Under Superimposed Stochastic Block Models

Paul, S., Milenkovic, O. & Chen, Y., 2023, In: Journal of Machine Learning Research. 24, 320.

Research output: Contribution to journal › Article › peer-review

Identifiability of Hidden Markov Models for Learning Trajectories in Cognitive Diagnosis

Liu, Y., Culpepper, S. A. & Chen, Y., Jun 2023, In: Psychometrika. 88, 2, p. 361-386 26 p.

Research output: Contribution to journal › Article › peer-review

INFERRING SOCIAL INFLUENCE IN DYNAMIC NETWORKS

Cui, X. & Chen, Y., Jan 2023, In: Statistica Sinica. 33, 1

Research output: Contribution to journal › Article › peer-review

Open Access

Testing attributable effects hypotheses with an application to the Oregon Health Insurance Experiment*

Fredrickson, M. M. & Chen, Y., 2023, In: Statistics and its Interface. 16, 3, p. 349-361 13 p.

Research output: Contribution to journal › Article › peer-review

2022

Null Models and Community Detection in Multi-Layer Networks

Paul, S. & Chen, Y., Jun 2022, In: Sankhya A. 84, 1, p. 163-217 55 p.

Research output: Contribution to journal › Article › peer-review

VARIATIONAL INFERENCE FOR LATENT SPACE MODELS FOR DYNAMIC NETWORKS

Liu, Y. & Chen, Y., Oct 2022, In: Statistica Sinica. 32, 4, p. 2147-2170 24 p.

Research output: Contribution to journal › Article › peer-review

Open Access

2021

Inferring the Number of Attributes for the Exploratory DINA Model

Chen, Y., Liu, Y., Culpepper, S. A. & Chen, Y., Mar 2021, In: Psychometrika. 86, 1, p. 30-64 35 p.

Research output: Contribution to journal › Article › peer-review

Variational approximation for importance sampling

Su, X. & Chen, Y., Sep 2021, In: Computational Statistics. 36, 3, p. 1901-1930 30 p.

Research output: Contribution to journal › Article › peer-review

2020

A random effects stochastic block model for joint community detection in multiple networks with applications to neuroimaging

Paul, B. S. & Chen, Y., 2020, In: Annals of Applied Statistics. 14, 2, p. 993-1029 37 p.

Research output: Contribution to journal › Article › peer-review

Open Access

Mixed membership stochastic blockmodels for heterogeneous networks

Huang, W., Liu, Y. & Chen, Y., 2020, In: Bayesian Analysis. 15, 3, p. 711-736 26 p.

Research output: Contribution to journal › Article › peer-review

Open Access

Modularity based community detection in heterogeneous networks

Zhang, J. & Chen, Y., Apr 2020, In: Statistica Sinica. 30, 2, p. 601-629 29 p.

Research output: Contribution to journal › Article › peer-review

Open Access

Sampling high dimensional tables with applications to assessing linkage disequilibrium

Eisinger, R. D., Su, X. & Chen, Y., 2020, In: Statistics and its Interface. 13, 2, p. 157-166 10 p.

Research output: Contribution to journal › Article › peer-review

Spectral and matrix factorization methods for consistent community detection in multi-layer networks

Paul, S. & Chen, Y., 2020, In: Annals of Statistics. 48, 1, p. 230-250 21 p.

Research output: Contribution to journal › Article › peer-review

Open Access

Statistical Network Analysis: A Review with Applications to the Coronavirus Disease 2019 Pandemic

Loyal, J. D. & Chen, Y., Aug 1 2020, In: International Statistical Review. 88, 2, p. 419-440 22 p.

Research output: Contribution to journal › Article › peer-review

Open Access

2019

Functional brain changes during mindfulness-based cognitive therapy associated with tinnitus severity

Zimmerman, B., Finnegan, M., Paul, S., Schmidt, S., Tai, Y., Roth, K., Chen, Y. & Husain, F. T., 2019, In: Frontiers in Neuroscience. 13, JUL, 747.

Research output: Contribution to journal › Article › peer-review

Open Access

Permutation and randomization tests for network analysis

Fredrickson, M. M. & Chen, Y., Oct 2019, In: Social Networks. 59, p. 171-183 13 p.

Research output: Contribution to journal › Article › peer-review

Open Access

2018

A block model for node popularity in networks with community structure

Sengupta, S. & Chen, Y., Mar 2018, In: Journal of the Royal Statistical Society. Series B: Statistical Methodology. 80, 2, p. 365-386 22 p.

Research output: Contribution to journal › Article › peer-review

An Efficient Sampling Algorithm for Network Motif Detection

Chen, Y. & Chen, Y., Jul 3 2018, In: Journal of Computational and Graphical Statistics. 27, 3, p. 503-515 13 p.

Research output: Contribution to journal › Article › peer-review

Bayesian Estimation of the DINA Q matrix

Chen, Y., Culpepper, S. A., Chen, Y. & Douglas, J., Mar 1 2018, In: Psychometrika. 83, 1, p. 89-108 20 p.

Research output: Contribution to journal › Article › peer-review

Sampling strategies for conditional inference on multigraphs

Eisinger, R. D. & Chen, Y., 2018, In: Statistics and its Interface. 11, 4, p. 649-656 8 p.

Research output: Contribution to journal › Article › peer-review

The Self-Multiset Sampler

Huang, W., Shen, J. & Chen, Y., Jan 2 2018, In: Journal of Computational and Graphical Statistics. 27, 1, p. 34-47 14 p.

Research output: Contribution to journal › Article › peer-review

2017

A hypothesis testing framework for modularity based network community detection

Zhang, J. & Chen, Y., Jan 2017, In: Statistica Sinica. 27, 1, p. 437-456 20 p.

Research output: Contribution to journal › Article › peer-review

Augmented Particle Filters

Yun, J., Yang, F. & Chen, Y., Jan 2 2017, In: Journal of the American Statistical Association. 112, 517, p. 300-313 14 p.

Research output: Contribution to journal › Article › peer-review

Latent space approaches to community detection in dynamic networks

Sewell, D. K. & Chen, Y., Jun 1 2017, In: Bayesian Analysis. 12, 2, p. 351-377 27 p.

Research output: Contribution to journal › Article › peer-review

Open Access

Network reliability analysis with link and nodal weights and auxiliary nodes

Guidotti, R., Gardoni, P. & Chen, Y., Mar 1 2017, In: Structural Safety. 65, p. 12-26 15 p.

Research output: Contribution to journal › Article › peer-review

Sampling for Conditional Inference on Contingency Tables

Eisinger, R. D. & Chen, Y., Jan 2 2017, In: Journal of Computational and Graphical Statistics. 26, 1, p. 79-87 9 p.

Research output: Contribution to journal › Article › peer-review

The multiset EM algorithm

Huang, W. & Chen, Y., Jul 1 2017, In: Statistics and Probability Letters. 126, p. 41-48 8 p.

Research output: Contribution to journal › Article › peer-review

Open Access

2016

Consistent community detection in multi-relational data through restricted multi-layer stochastic blockmodel

Paul, S. & Chen, Y., 2016, In: Electronic Journal of Statistics. 10, 2, p. 3807-3870 64 p., A68.

Research output: Contribution to journal › Article › peer-review

Open Access

Latent space models for dynamic networks with weighted edges

Sewell, D. K. & Chen, Y., Jan 1 2016, In: Social Networks. 44, p. 105-116 12 p.

Research output: Contribution to journal › Article › peer-review

Open Access

Model-based longitudinal clustering with varying cluster assignments

Sewell, D. K., Chen, Y., Bernhard, W. & Sulkin, T., Jan 2016, In: Statistica Sinica. 26, 1, p. 205-233 29 p.

Research output: Contribution to journal › Article › peer-review

Open Access

2015

Analysis of the formation of the structure of social networks by using latent space models for ranked dynamic networks

Sewell, D. K. & Chen, Y., Aug 1 2015, In: Journal of the Royal Statistical Society. Series C: Applied Statistics. 64, 4, p. 611-633 23 p.

Research output: Contribution to journal › Article › peer-review

Open Access

Bayesian quantile regression with approximate likelihood

Feng, Y., Chen, Y. & He, X., May 1 2015, In: Bernoulli. 21, 2, p. 832-850 19 p.

Research output: Contribution to journal › Article › peer-review

Exponential random graph models for networks resilient to targeted attacks

Zhang, J. & Chen, Y., 2015, In: Statistics and its Interface. 8, 3, p. 267-276 10 p.

Research output: Contribution to journal › Article › peer-review

Latent Space Models for Dynamic Networks

Sewell, D. K. & Chen, Y., Oct 2 2015, In: Journal of the American Statistical Association. 110, 512, p. 1646-1657 12 p.

Research output: Contribution to journal › Article › peer-review

Open Access

Monte Carlo Algorithms for Identifying Densely Connected Subgraphs

Zhang, J. & Chen, Y., Jul 3 2015, In: Journal of Computational and Graphical Statistics. 24, 3, p. 827-845 19 p.

Research output: Contribution to journal › Article › peer-review

Spectral clustering in heterogeneous networks

Sengupta, S. & Chen, Y., Jul 2015, In: Statistica Sinica. 25, 3, p. 1081-1106 26 p.

Research output: Contribution to journal › Article › peer-review

2014

Randomization inference for the trimmed mean of effects attributable to treatment

Feng, X., Feng, Y., Chen, Y. & Small, D. S., Apr 1 2014, In: Statistica Sinica. 24, 2, p. 773-797 25 p.

Research output: Contribution to journal › Article › peer-review

Stochastic approximation Monte Carlo importance sampling for approximating exact conditional probabilities

Cheon, S., Liang, F., Chen, Y. & Yu, K., Jul 1 2014, In: Statistics and Computing. 24, 4, p. 505-520 16 p.

Research output: Contribution to journal › Article › peer-review

2013

Modeling Parasite Infection Dynamics when there Is Heterogeneity and Imperfect Detectability

Cui, N., Chen, Y. & Small, D. S., Sep 2013, In: Biometrics. 69, 3, p. 683-692 10 p.

Research output: Contribution to journal › Article › peer-review

Sampling for conditional inference on network data

Zhang, J. & Chen, Y., 2013, In: Journal of the American Statistical Association. 108, 504, p. 1295-1307 13 p.

Research output: Contribution to journal › Article › peer-review

2012

A theory for the multiset sampler

Chen, Y., Mar 2012, In: Statistics and Probability Letters. 82, 3, p. 473-477 5 p.

Research output: Contribution to journal › Article › peer-review

2011

Sampling large tables with constraints

Dinwoodie, I. H. & Chen, Y., Oct 2011, In: Statistica Sinica. 21, 4, p. 1591-1609 19 p.

Research output: Contribution to journal › Article › peer-review

2010

Re-examination of interestingness measures in pattern mining: A unified framework

Wu, T., Chen, Y. & Han, J., Nov 2010, In: Data Mining and Knowledge Discovery. 21, 3, p. 371-397 27 p.

Research output: Contribution to journal › Article › peer-review

2009

An approach for improving the sampling efficiency in the Bayesian calibration of computationally expensive simulation models

Xie, H., Eheart, W., Chen, Y. & Bailey, B. A., Jun 2009, In: Water Resources Research. 45, 6, W06419.

Research output: Contribution to journal › Article › peer-review

Open Access

Evaluation of aggressiveness of Fusarium virguliforme isolates that cause soybean sudden death syndrome

Li, S., Hartman, G. L. & Chen, Y., Mar 2009, In: Journal of Plant Pathology. 91, 1, p. 77-86 10 p.

Research output: Contribution to journal › Article › peer-review

State and parameter estimation of hydrologic models using the constrained ensemble Kalman filter

Wang, D., Chen, Y. & Cai, X., Nov 2009, In: Water Resources Research. 45, 11, W11416.

Research output: Contribution to journal › Article › peer-review

Open Access

The multiset sampler

Leman, S. C., Chen, Y. & Lavine, M., 2009, In: Journal of the American Statistical Association. 104, 487, p. 1029-1041 13 p.

Research output: Contribution to journal › Article › peer-review

Yuguo Chen

Research output

Search results