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h5 指数:43
h5 中位数:68

h5 指数是指在过去整整 5 年中所发表文章的 h 指数。h 指在 2018-2022 年间发表的 h 篇文章每篇至少都被引用过 h 次的最大值。隐藏

出版物的 h5 中位数，是指出版物的 h5 指数所涵盖的所有文章获得的引用次数的中位值。隐藏

#9 Probability & Statistics with Applications

标题/作者	引用次数	年份
50 Years of Data Science D Donoho Journal of Computational and Graphical Statistics 26 (4), 745-766	411	2017
Programming With Models: Writing Statistical Algorithms for General Model Structures With NIMBLE P de Valpine, D Turek, CJ Paciorek, C Anderson-Bergman, DT Lang, ... Journal of Computational and Graphical Statistics 26 (2), 403-413	407	2017
Value Plots: Boxplots for Large Data H Hofmann, H Wickham, K Kafadar Journal of Computational and Graphical Statistics 26 (3), 469-477	165	2017
Practical Heteroscedastic Gaussian Process Modeling for Large Simulation Experiments M Binois, RB Gramacy, M Ludkovski Journal of Computational and Graphical Statistics 27 (4), 808-821	144	2018
Bayesian Synthetic Likelihood LF Price, CC Drovandi, A Lee, DJ Nott Journal of Computational and Graphical Statistics 27 (1), 1-11	144	2018
Superheat: An R Package for Creating Beautiful and Extendable Heatmaps for Visualizing Complex Data RL Barter, B Yu Journal of Computational and Graphical Statistics 27 (4), 910-922	136	2018
Algorithms for Fitting the Constrained Lasso BR Gaines, J Kim, H Zhou Journal of Computational and Graphical Statistics 27 (4), 861-871	110	2018
Semismooth Newton Coordinate Descent Algorithm for Elastic-Net Penalized Huber Loss Regression and Quantile Regression C Yi, J Huang Journal of Computational and Graphical Statistics 26 (3), 547-557	107	2017
Estimating Individual Treatment Effect in Observational Data Using Random Forest Methods M Lu, S Sadiq, DJ Feaster, H Ishwaran Journal of Computational and Graphical Statistics 27 (1), 209-219	98	2018
How Many Communities Are There? DF Saldaña, Y Yu, Y Feng Journal of Computational and Graphical Statistics 26 (1), 171-181	98	2017
Efficient Bayesian Inference for Multivariate Factor Stochastic Volatility Models G Kastner, S Frühwirth-Schnatter, HF Lopes Journal of Computational and Graphical Statistics 26 (4), 905-917	94	2017
BAMLSS: Bayesian Additive Models for Location, Scale, and Shape (and Beyond) N Umlauf, N Klein, A Zeileis Journal of Computational and Graphical Statistics 27 (3), 612-627	94	2018
A Semiparametric Two-Sample Hypothesis Testing Problem for Random Graphs M Tang, A Athreya, DL Sussman, V Lyzinski, Y Park, CE Priebe Journal of Computational and Graphical Statistics 26 (2), 344-354	92	2017
Automated Redistricting Simulation Using Markov Chain Monte Carlo B Fifield, M Higgins, K Imai, A Tarr Journal of Computational and Graphical Statistics 29 (4), 715-728	92	2020
Variational Bayes With Intractable Likelihood MN Tran, DJ Nott, R Kohn Journal of Computational and Graphical Statistics 26 (4), 873-882	91	2017
Computationally Efficient Changepoint Detection for a Range of Penalties K Haynes, IA Eckley, P Fearnhead Journal of Computational and Graphical Statistics 26 (1), 134-143	84	2017
Efficient Algorithms for Bayesian Nearest Neighbor Gaussian Processes AO Finley, A Datta, BD Cook, DC Morton, HE Andersen, S Banerjee Journal of Computational and Graphical Statistics 28 (2), 401-414	84	2019
Scalable Visualization Methods for Modern Generalized Additive Models M Fasiolo, R Nedellec, Y Goude, SN Wood Journal of Computational and Graphical Statistics 29 (1), 78-86	82	2020
High-Dimensional Mixed Graphical Models J Cheng, T Li, E Levina, J Zhu Journal of Computational and Graphical Statistics 26 (2), 367-378	75	2017
Local Linear Forests R Friedberg, J Tibshirani, S Athey, S Wager Journal of Computational and Graphical Statistics 30 (2), 503-517	72	2020

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