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Large-scale datastreams surveillance via pattern-oriented-sampling. The R codes include all functions called and a simulation setting can be found here. Journal of the Royal Statistical Society: Series B, 74, 37-65. Sankhyā: The Indian Journal of Statistics. Di He, Yong Zhou and Hui Zou. Statistica Sinica, 29, 479-504, 2019 Non-Stationary Stochastic Optimization with L_{p,q}-Varition Measures (Technical Note) Xi Chen, Yining Wang, and Yuxiang Wang. Abstract. International Statistical Review. Xue, F. and Qu, A. ON SURE SCREENING WITH MULTIPLE RESPONSES. The screening and ranking algorithm to detect DNA copy number variations. International Statistical Review. Statistica Sinica, 19, 1119-1136. Statistica Sinica 31 (2021), 1749-1777. SN - 1017-0405. Statistica Sinica 30 (2020), 1485-1516 . STATISTICA SINICA is co-sponsored by Institute of Statistical Science, Academia Sinica & International Chinese Statistical Association 2009(C) Institute of Statistical Science , Academia Sinica 2014.01-present, Member of Editorial Committee, Journal of System Science and Mathematical Science (Chinese series). Probability and Mathematical Statistics. The overall rank of Statistica Sinica is 3131. Model free multivariate reduced-rank regression with categorical predictors. Community detection in general hypergraph via graph embedding. CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): This paper considers identi cation and estimation of a nonparametric regression model with an unobserved discrete covariate. 2014.04-present, Associate Editor, Statistics and Probability Letters (SPL). Scandinavian Journal of Statistics. (48) Lan Wang, Ingrid Van Keilegom and Adam Maidman. *corresponding author; Kim K, Teng S, Jiang K, Feldman L, Huang H* (2012). The editors would like to welcome the new Associate Editors Jelle Goeman, M. C. Jones . Statistica Sinica 32, in press. In a process of examining k objects, each judge provides a ranking of them. Operations Research, 67(6), 1752-1765, 2019 Optimal Design of Process Flexibility for General Production Systems Xi Chen, Tengyu Ma, Jiawei Zhang, and Yuan Zhou. Associate Editor, Journal of Data Analysis (2008—present). (2009). Baranowski, R., Chen, Y. and Fryzlewicz, P. (2020) Ranking-based variable selection for high-dimensional data, Statistica Sinica, 30, 1485-1516. Stochastic counterfactuals and stochastic sufficient causes. 22:279-92. Selection and validation of normalization methods for c-DNA microarrays using within-array Achieving near-perfect classification for functional data. I. Stat. Journal of the American Statistical Association, in press. Statistica Sinica. (2007). Rankings and Impact Factors Table 7 shows the ranks of Statistica Sinica based on the 2-Year Impact Factor and the 5-Year Impact Factor provided by the Journal Citation Reports (JCR) in the area of Statistics and Probability from 2012 to 2020. Niu's research has been partly supported by University of Arizona Faculty Seed Grant National Science Foundation (NSF) United States Department of Agriculture (USDA) 1. Está en dos o más bases datos de indización y resumen o en DOAJ (, MathSciNet, zbMATH) = 3+2 = 5. Fan, J. and Niu, Y. 47.049. ER - Powered by Pure, Scopus . Institute of Statistical Science Academia Sinica Taipei 11529, Taiwan, R.O.C. Statistica Sinica CiteScore What is CiteScore? Effect of Heavy-Tails on Ultra High Dimensional Variable Ranking Methods. Cointegration rank estimation for high-dimensional time series with breaks. R Code and an Example for sparse PCA in Leng and Wang (JCGS, 2009, On general adaptive sparse principal component analysis). An Efficient Greedy Search Algorithm for High-Dimensional Linear Discriminant Analysis Statistica Sinica . The aim of this paper is to investigate a probabilistic model for ranking data - the wandering vector model. Proportion-based approaches (Lewis (1992)) only differ in that they assign kj top-ranking objects to each class, where j is the class Higher order inference on a treatment effect under low regularity conditions. . Use Read by QxMD to access full text via your institution or open access sources. Deng, Y., Tang, X. and Qu, A. Model free multivariate reduced-rank regression with categorical predictors. Phase transition in limiting distributions of coherence of high-dimensional random matrices. Statistica Sinica: Supplement Feature Screening for Network Autoregression Model Danyang Huang1, Xuening Zhu2, Runze Li3, and Hansheng Wang4 1Renmin University of China, 2Fudan University, 3Pennsylvania State University, 4Peking University Supplementary Material The supplementary material provides technical details. Semiparametric analysis of mixture regression models with competing risks data. ISSN: 1996-8507,1996-8507,1017-0405. Journal ISO4 Abbreviation of Statistica Sinica Impact Score: 1.47 h-Index: 77 SJR: 1.24 Overall Ranking: 3131 Equivalent Models in Association Rules Analysis: Parallel Effects to Decision Tree Analysis and Statistical Model Selection Methods. Lu, W. and Peng, L. (2008). Rank-based approaches (Joachims (1998)) rank the objects by their classifier scores and assign a fixed number (say k) of top ranking objects to each class. Only Open Access Journals Only SciELO Journals Only WoS Journals Gamst A, Donohue M, Xu R. Asymptotic properties and empirical evaluation of the NPMLE in the proportional hazards mixed-e ects model. Computational Statistics and Data Analysis, 53, 4106-4115. 2017.08-2020.07, Associate Editor, Statistica Sinica. Statistica Neerlandica has been the journal of the Netherlands Society for Statistics and Operations Research since 1946. Appl. 李克昭. Statistica Sinica , 13, 965-992. g 24: 1547-1570. Li L, Tchetgen Tchetgen E, van der Vaart, A, Robins JM. In addition, we propose two novel adaptive criteria for automatic selection of sparsity level and model rank. Associate Editor, Statistics and Informatics (2008—present). Operations Research, 67(6), 1752-1765, 2019 Optimal Design of Process Flexibility for General Production Systems Xi Chen, Tengyu Ma, Jiawei Zhang, and Yuan Zhou. 6,1306-1326, (2012). Changpetch, P. and Lin, Dennis K.J. Annals of the Institute of Statistical Mathematics, 60, 545-574. Lu, W. (2008). (2001). Lan Wang and Annie Qu (2007), "Robust tests in regression models with omnibus alternatives and bounded influence." Journal of the American Statistical Association, V. 102 , 347-358. Statistica Sinica: Supplement MOVING SUM DATA SEGMENTATION FOR STOCHASTIC PROCESSES BASED ON INVARIANCE Otto-von-Guericke-University Magdeburg Supplementary Material S1 Simulation study In this section, we illustrate the performance of our procedure for multivariate re-newal processes by means of a simulation study. Table 8 shows the ranks of Statistica Sinica in Scimago Journal Rankings among all ISSN of this journal is/are 10170405. 12. Statistics and Probability Letters. Journal of Time Series Analysis, 37(6), 785-809, doi: 10.1111/jtsa.12187 Journal Papers Statistical Machine Learning Zhen, Y. and Wang, J. Statistica Sinica. Betken, A. In the minds of statisticians, statistica sinica is the existence of the four little kings. The sample consists of a dependent vari-able and a set of covariates, one of which is discrete and arbitrarily correlates with the unobserved covariate. Statistica Sinica aims to meet the needs of statisticians in a rapidly changing world. Zhang, K. (2019). Statistica Sinica: Newly accepted Paper (accepted author-version subject to English editing) REFERENCES39 Pearl, J. Probability and Mathematical Statistics. Statistica Sinica, 28, 2771-2794, 2018 ; Structure Identification in Panel Data Analysis Yuan Ke, Jialiang Li and Wenyang Zhang The Annals of Statistics, 44, 1193 - 1233, 2016 ; A Semi-Varying Coefficient Multinomial Logistic Regression for Prognostic Classification with Application to Stratified Medicine (Statistica Sinica 1995, v. 5, pp. Statistica Sinica is a journal covering the categories related to Statistics and Probability (Q1); Statistics, Probability and Uncertainty (Q1). Statistica Sinica, 22, 909-932. Associated Editor of Statistica Sinica (2005 - 2012) . Conference Papers Journal of Multivariate Analysis. . Statistica Sinica 23 (2013). Chan, N.H., Gao, L. and Palma, W. (2022). Statistica Sinica. [37] Li, L. (2009). 11. This journal is friendly to big brothers, but it seems harsh to the little-known scientific research. [36] Li,L., and Yin, X. It provides a forum for the publication of innovative work of high quality in all areas of statistics, including theory, methodology and applications. Nonparametric maximum likelihood estimation in the proportional hazards cure model. A new robust estimator of average treat-ment e ect in causal inference. Statistica Sinica Asymptotic Theory for Estimating the Singular Vectors and Values of a Partially-observed Low Rank Matrix with Noise Juhee Cho, Donggyu Kim, and Karl Rohe 1 University of Wisconsin-Madison Abstract: Matrix completion algorithms recover a low rank matrix from a small fraction of the entries, each entry contaminated with additive errors. ABSTRACT. (202x) Directed community detection with network embedding. JF - Statistica Sinica. Exploiting predictor domain information in . Statistica Sinica, 2009; 19(2): 819-842. Statistica Sinica The 2020-2021 CiteScore of Statistica Sinica is 1.7, which is just updated in 2021. Find the latest published papers in Statistica Sinica + Top authors, related hot topics, the most cited papers, and related journals. SCImago Journal Rank is an indicator, which measures the scientific influence of journals. To obtain and run SaRa (Windows based version 1.1), . Longitudinal data analysis using sufficient dimension reduction method. Statistica Sinica #5 Submitted in September 2018, overhauled in July 2019, received in February 2020, and proofs in March 2021. Ren, H., Zou, C., Chen, N. and Li, R. (2021). BET on Independence, Journal of the American Statistical Association , 114, 1620-1637. It covers all areas of statistics, from theoretical to applied, with a special emphasis on mathematical statistics, statistics for the behavioural sciences and biostatistics. Invited Discussion of "Minimax Estimation of Large Covariance Matrices under ℓ 1-Norm" by Cai and Zhou, Statistica Sinica, 22(4), 1349-1354. CiteScore is a new standard that gives a more comprehensive, transparent and current view of a journal's impact that will help you guide your journal more effectively in the future. Statistica Sinica, 28(3), 1199-1224, doi: 10.5705/ss.202015.0435. Central limit theorem for linear spectral statistics of large dimensional Kendall's rank correlation matrices and its applications. Associate Editor, Journal of Statistics and Its Applications (2004—present). We establish the rates of convergence of the rank-based tapering under Frobenius and matrix operator norms, where the dimension is allowed to grow at a nearly exponential rate relative to the sample size. In the model, the reduced-rank coefficient structure is specified to occur for a subset of the response variables only, which allows for more general situations and can lead to more efficient modeling than the usual reduced-rank model. A reduced-rank covariance function capturing large-scale spatial dependence and a covariance adjusting lo-cal covariance approximation errors of the reduced-rank part both within blocks Statistica Sinica (2018) SCALPEL: Extracting Neurons from Calcium Imaging Data (with Ashley Petersen, and Daniela Witten) Annals of Applied Statistics (2018) Gradient-based Regularization Parameter Selection for Problems with Non-smooth Penalty Functions (with Jean Feng) Journal of Computational and Graphical Statistics (2018) Journal of the Royal Statistical Society. Statistica Sinica Journal Impact IF Highest IF Key Factor Analysis Lowest IF Key Factor Analysis Total Growth Rate Key Factor Analysis Annual Growth Rate Key Factor Analysis Statistica Sinica Journal Key Metrics Statistica Sinica Academia Sinica was founded in 1928 in Nanking, then capital of the Republic of China, with its first meeting held in Shanghai.After the Chinese Civil War and the establishment of the People's Republic of China in 1949, it was relocated to Taiwan along with the government of the Republic of China.In 1954, its main campus was constructed in Jiuzhuang [], Nangang, Taipei. The overall rank of Statistica Sinica is 3131 . Ann. Nanjing University, East China Normal University and University of Minnesota . The methodology is implemented in the R package rbvs, available from CRAN. based methods (Yang (2001)). The model represents objects by points in a d-dimensional space, and the judges are represented by latent vectors emanating from the origin in the same space. 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