ISSN: 1061-8600
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Journal of Computational and Graphical Statistics Q1 Unclaimed
Journal of Computational and Graphical Statistics is a journal indexed in SJR in Statistics and Probability and Statistics, Probability and Uncertainty with an H index of 102. It has a price of 2395 €. It has an SJR impact factor of 1,53 and it has a best quartile of Q1. It is published in English. It has an SJR impact factor of 1,53.
Type: Journal
Type of Copyright:
Languages: English
Open Access Policy:
Type of publications:
Publication frecuency: -
2395 €
Inmediate OANPD
Embargoed OA0 €
Non OAMetrics
1,53
SJR Impact factor102
H Index172
Total Docs (Last Year)281
Total Docs (3 years)7096
Total Refs691
Total Cites (3 years)273
Citable Docs (3 years)2.03
Cites/Doc (2 years)41.26
Ref/DocOther journals with similar parameters
Annals of Mathematics Q1
Annals of Statistics Q1
Journal of the Royal Statistical Society. Series B: Statistical Methodology Q1
Journal of the American Statistical Association Q1
Journal of Business and Economic Statistics Q1
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Best articles by citations
Winds from a Bayesian Hierarchical Model: Computation for Atmosphere-Ocean Research
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View moreThe S-Net System for Internet Packet Streams: Strategies for Stream Analysis and System Architecture
View moreOn Markov chain Monte Carlo Algorithms for Computing Conditional Expectations Based on Sufficient Statistics
View moreNonparametric Bayesian Assessment of the Order of Dependence for Binary Sequences
View moreLocally Sparse Estimator for Functional Linear Regression Models
View moreSampling Truncated Normal, Beta, and Gamma Densities
View moreAutomatic Differentiation to Facilitate Maximum Likelihood Estimation in Nonlinear Random Effects Models
View moreGeneralized Nonparametric Mixed Effects Models
View moreRejoinder
View moreRejoinder
View moreData Sharpening for Nonparametric Inference Subject to Constraints
View moreWeber Correspondence Analysis: The One-Dimensional Case
View moreAlternative Local Discriminant Bases Using Empirical Expectation and Variance Estimation
View moreBayesian Variable and Transformation Selection in Linear Regression
View moreBayesian Variable Selection and the Swendsen-Wang Algorithm
View moreDifficulties in Estimating the Normalizing Constant of the Posterior for a Neural Network
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