Jianhua Hu, Peng Wang and Annie Qu (2015). The journal is open access. When will the paper be posted? It measures the scientific influence of the average article in a journal, it expresses how central to the global scientific discussion an average article of the journal is. Electronic Journal of Probability 2019-20 Real-Time Journal Impact Prediction & Tracking 2020 2019 2018 2017 2016 2015 Journal Impact, History & Ranking The two years line is equivalent to journal impact factor ™ (Thomson Reuters) metric. This indicator counts the number of citations received by documents from a journal and divides them by the total number of documents published in that journal. Electronic Journal of Statistics Manuscript Submission. Der Journal Impact 2019 von Electronic Journal of Statistics beträgt 1.090 (neueste Daten im Jahr 2020). Electronic Journal of Statistics, V. 9, 1315-1334. Im Vergleich zu historischen Journal Impact ist der Journal Impact 2019 von Electronic Journal of Statistics um 9.00 % gestiegen. ISSN: 1935-7524. Helen is also an Adjunct Professor, Department of Statistics, North Carolina State University. Country: United States - SIR Ranking of United States: 41. The users of Scimago Journal & Country Rank have the possibility to dialogue through comments linked to a specific journal. Der Journal Impact 2019 von Electronic Journal of Statistics beträgt 1.090 (neueste Daten im Jahr 2020). Is distribution-free inference possible for binary regression? Math. ← Previous issue Next issue → Volume 14, Number 2. Journal Citation Reports (JCR) (Clarivate Analytics): zitationsbasiertes Journal-Ranking auf der Plattform ISI Web of Knowledge mit den "Impact Factors" der Journals und dem H-Index der Autoren. Annals of Statistics, 2018 A General Decision Theory for Huber's $\epsilon$-Contamination Model [arXiv] M. Chen, C. Gao and Z. Ren Electronic Journal of Statistics, 2016 - Ranking and Permutation - Partial Recovery for Top-k Ranking: Optimality of MLE and Sub-Optimality of Spectral Method [arXiv] P. Chen, C. Gao and A. Zhang Articles become publicly available shortly after they are accepted. H Index. Evolution of the total number of citations and journal's self-citations received by a journal's published documents during the three previous years. Abstract Enhanced PDF. The SJR is a size-independent prestige indicator that ranks journals by their 'average prestige per article'. How should papers be written? Not every article in a journal is considered primary research and therefore "citable", this chart shows the ratio of a journal's articles including substantial research (research articles, conference papers and reviews) in three year windows vs. those documents other than research articles, reviews and conference papers. Electronic Journal of Statistics. The journal is open access. External citations are calculated by subtracting the number of self-citations from the total number of citations received by the journal’s documents. What kind of papers are appropriate for EJS? Ratio of a journal's items, grouped in three years windows, that have been cited at least once vs. those not cited during the following year. © Did you land on this page although you were hoping to go straight to an EJP or ECP article? The Electronic Journal of Statistics (EJS) publishes research articles and short notes on theoretical, computational and applied statistics. Minimax rates for the covariance estimation of multi-dimensional Lévy processes with high-frequency data, ERM and RERM are optimal estimators for regression problems when malicious outliers corrupt the labels, Data-driven semi-parametric detection of multiple changes in long-range dependent processes, Modeling of time series using random forests: Theoretical developments, Consistency and asymptotic normality of stochastic block models estimators from sampled data, Multiple testing of local extrema for detection of change points, Nonparametric estimation of the pair correlation function of replicated inhomogeneous point processes, Capturing between-tasks covariance and similarities using multivariate linear mixed models, Nonparametric regression with parametric help, Anchored Bayesian Gaussian mixture models, Weak convergence of marked empirical processes in a Hilbert space and its applications, Uniform convergence rates for the approximated halfspace and projection depth, On Bayes and Nash experimental designs for hypothesis testing problems, Optimizing the tie-breaker regression discontinuity design, The existence of maximum likelihood estimate in high-dimensional binary response generalized linear models, Model selection and model averaging for analysis of truncated and censored data with measurement error, Compatible priors for model selection of high-dimensional Gaussian DAGs, Reconstruction of a directed acyclic graph with intervention, Rate-optimal estimation of the Blumenthal–Getoor index of a Lévy process. Electronic Journal of Probability and Electronic Communications in Probability have a new home at the Project Euclid Web site: EJP at Project Euclid, ECP at Project Euclid. Project Euclid - mathematics and statistics online. Call for Papers Special Issue on Respondent Burden (Deadline for submissions January 31, 2021). Electronic Journal of Statistics Impact Factor, IF, number of article, detailed information and journal factor. You have partial access to this content. The set of journals have been ranked according to their SJR and divided into four equal groups, four quartiles. “Sufficient dimension reduction for correlated data.” Only Open Access Journals Only SciELO Journals Only WoS Journals It is based on the idea that 'all citations are not created equal'. Project Euclid, Stein hypothesis and screening effect for covariances with compact support, Testing for local covariate trend effects in volatility models, Detangling robustness in high dimensions: Composite versus model-averaged estimation, Optimal rates for estimation of two-dimensional totally positive distributions, Confidence regions and minimax rates in outlier-robust estimation on the probability simplex, Correcting for differential recruitment in respondent-driven sampling data using ego-network information, Bayesian shrinkage towards sharp minimaxity, Gaussian processes with multidimensional distribution inputs via optimal transport and Hilbertian embedding, On finite exchangeability and conditional independence, Convergence analysis of Tikhonov regularization for non-linear statistical inverse problems, Unbiased Markov chain Monte Carlo for intractable target distributions, Consistent estimation of high-dimensional factor models when the factor number is over-estimated, Joint estimation for SDE driven by locally stable Lévy processes, Nonparametric estimation of the ability density in the Mixed-Effect Rasch Model, From Gauss to Kolmogorov: Localized measures of complexity for ellipses, Correcting an estimator of a multivariate monotone function with isotonic regression, Nonparametric distributed learning under general designs, Method of moments estimators for the extremal index of a stationary time series, Spectral estimation for non-linear long range dependent discrete time trawl processes, Asymptotic properties for the parameter estimation in Ornstein-Uhlenbeck process with discrete observations, Vertex nomination, consistent estimation, and adversarial modification, The local partial autocorrelation function and some applications, Statistical analysis of sparse approximate factor models, Approximation of Bayesian models for time-to-event data, Smoothed residual stopping for statistical inverse problems via truncated SVD estimation, High dimensional classification for spatially dependent data with application to neuroimaging.
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