Year |
Citation |
Score |
2020 |
Paul S, Chen Y. A random effects stochastic block model for joint community detection in multiple networks with applications to neuroimaging Annals of Applied Statistics. 14: 993-1029. DOI: 10.1214/20-Aoas1339 |
0.302 |
|
2019 |
Fredrickson MM, Chen Y. Permutation and randomization tests for network analysis Social Networks. 59: 171-183. DOI: 10.1016/J.Socnet.2019.08.001 |
0.315 |
|
2018 |
Chen Y, Chen Y. An Efficient Sampling Algorithm for Network Motif Detection Journal of Computational and Graphical Statistics. 27: 503-515. DOI: 10.1080/10618600.2017.1391696 |
0.325 |
|
2017 |
Sewell DK, Chen Y. Latent Space Approaches to Community Detection in Dynamic Networks Bayesian Analysis. 12: 351-377. DOI: 10.1214/16-Ba1000 |
0.345 |
|
2017 |
Sengupta S, Chen Y. A block model for node popularity in networks with community structure Journal of the Royal Statistical Society: Series B (Statistical Methodology). 80: 365-386. DOI: 10.1111/Rssb.12245 |
0.313 |
|
2017 |
Huang W, Shen J, Chen Y. The Self-Multiset Sampler Journal of Computational and Graphical Statistics. 27: 34-47. DOI: 10.1080/10618600.2017.1330206 |
0.321 |
|
2017 |
Eisinger RD, Chen Y. Sampling for Conditional Inference on Contingency Tables Journal of Computational and Graphical Statistics. 26: 79-87. DOI: 10.1080/10618600.2016.1153478 |
0.342 |
|
2016 |
Sewell DK, Chen Y. Latent space models for dynamic networks with weighted edges Social Networks. 44: 105-116. DOI: 10.1016/J.Socnet.2015.07.005 |
0.348 |
|
2015 |
Sengupta S, Chen Y. Spectral Clustering In Heterogeneous Networks Statistica Sinica. 25: 1081-1106. DOI: 10.5705/Ss.2013.231 |
0.335 |
|
2015 |
Feng Y, Chen Y, He X. Bayesian quantile regression with approximate likelihood Bernoulli. 21: 832-850. DOI: 10.3150/13-Bej589 |
0.347 |
|
2015 |
Zhang J, Chen Y. Monte Carlo Algorithms for Identifying Densely Connected Subgraphs Journal of Computational and Graphical Statistics. 24: 827-845. DOI: 10.1080/10618600.2014.930040 |
0.336 |
|
2015 |
Sewell DK, Chen Y. Latent Space Models for Dynamic Networks Journal of the American Statistical Association. 110: 1646-1657. DOI: 10.1080/01621459.2014.988214 |
0.344 |
|
2014 |
Feng X, Feng Y, Chen Y, Small DS. Randomization inference for the trimmed mean of effects attributable to treatment Statistica Sinica. 24: 773-797. DOI: 10.5705/Ss.2011.227 |
0.48 |
|
2013 |
Cui N, Chen Y, Small DS. Modeling parasite infection dynamics when there is heterogeneity and imperfect detectability. Biometrics. 69: 683-92. PMID 23848564 DOI: 10.1111/Biom.12050 |
0.457 |
|
2013 |
Zhang J, Chen Y. Sampling for Conditional Inference on Network Data Journal of the American Statistical Association. 108: 1295-1307. DOI: 10.1080/01621459.2012.758587 |
0.381 |
|
2013 |
Cheon S, Liang F, Chen Y, Yu K. Stochastic approximation Monte Carlo importance sampling for approximating exact conditional probabilities Statistics and Computing. 24: 505-520. DOI: 10.1007/S11222-013-9384-6 |
0.344 |
|
2012 |
Chen Y. A theory for the multiset sampler Statistics & Probability Letters. 82: 473-477. DOI: 10.1016/J.Spl.2011.09.025 |
0.304 |
|
2011 |
Dinwoodie IH, Chen Y. Sampling large tables with constraints Statistica Sinica. 21: 1591-1609. DOI: 10.5705/Ss.2008.078 |
0.325 |
|
2009 |
Xie H, Eheart W, Chen Y, Bailey BA. An approach for improving the sampling efficiency in the Bayesian calibration of computationally expensive simulation models Water Resources Research. 45. DOI: 10.1029/2007Wr006773 |
0.353 |
|
2007 |
Chen Y, Dinwoodie IH, MacGibbon B. Sampling for conditional inference on case-control data. Biometrics. 63: 845-55. PMID 17825015 DOI: 10.1111/J.1541-0420.2007.00763.X |
0.325 |
|
2007 |
Leman SC, Uyenoyama MK, Lavine M, Chen Y. The evolutionary forest algorithm. Bioinformatics (Oxford, England). 23: 1962-8. PMID 17519247 DOI: 10.1093/Bioinformatics/Btm264 |
0.321 |
|
2007 |
Chen Y. Conditional Inference on Tables With Structural Zeros Journal of Computational and Graphical Statistics. 16: 445-467. DOI: 10.1198/106186007X209226 |
0.335 |
|
2007 |
Chen Y, Lai TL. Identification and Adaptive Control of Change-Point ARX Models Via Rao-Blackwellized Particle Filters Ieee Transactions On Automatic Control. 52: 67-72. DOI: 10.1109/Tac.2006.887913 |
0.525 |
|
2006 |
Huber M, Chen Y, Dinwoodie I, Dobra A, Nicholas M. Monte Carlo algorithms for Hardy-Weinberg proportions. Biometrics. 62: 49-53. PMID 16542228 DOI: 10.1111/J.1541-0420.2005.00418.X |
0.307 |
|
2006 |
Chen Y, Dinwoodie IH, Sullivant S. Sequential importance sampling for multiway tables Annals of Statistics. 34: 523-545. DOI: 10.1214/009053605000000822 |
0.311 |
|
2005 |
Leman SC, Chen Y, Stajich JE, Noor MA, Uyenoyama MK. Likelihoods from summary statistics: recent divergence between species. Genetics. 171: 1419-36. PMID 16143628 DOI: 10.1534/Genetics.104.040402 |
0.329 |
|
2005 |
Chen Y, Diaconis P, Holmes SP, Liu JS. Sequential Monte Carlo methods for statistical analysis of tables Journal of the American Statistical Association. 100: 109-120. DOI: 10.1198/016214504000001303 |
0.362 |
|
2005 |
Chen Y, Xie J, Liu JS. Stopping-time resampling for sequential Monte Carlo methods Journal of the Royal Statistical Society: Series B (Statistical Methodology). 67: 199-217. DOI: 10.1111/J.1467-9868.2005.00497.X |
0.332 |
|
2005 |
Chen Y. Another look at rejection sampling through importance sampling Statistics & Probability Letters. 72: 277-283. DOI: 10.1016/J.Spl.2005.01.002 |
0.305 |
|
2005 |
Chen Y, Small D. Exact tests for the rasch model via sequential importance sampling Psychometrika. 70: 11-30. DOI: 10.1007/S11336-003-1069-1 |
0.506 |
|
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