STATISTICS AND COMPUTING
ISSN:0960-3174

STATISTICS AND COMPUTING

STAT COMPUT
学科领域:数学
是否预警:不在预警名单内
是否OA:
录用周期:较慢,6-12周
新锐分区:数学3区
年发文量:205
影响因子:1.6
JCR分区:Q2

基本信息

《统计与计算》是一份双月刊,发表论文涵盖统计与计算科学之间的一系列接口。特别是,它讨论了统计概念在计算科学中的使用,例如在机器学习、计算机视觉和数据分析中的使用,以及在数据建模、预测和分析中的使用。所涵盖的具体主题包括:用于评估分析上难以处理的问题的技术,诸如自举重采样、马尔可夫链蒙特卡罗、顺序蒙特卡罗、近似贝叶斯计算、搜索和优化方法、随机模拟和蒙特卡罗、图形学、计算机环境、软件错误的统计方法、信息检索、机器学习、数据库的统计和数据库技术、巨大数据集和大数据分析、计算机代数图形模型、图像处理、层析成像、反问题和不确定性量化。此外,该杂志还包含原创研究报告、权威评论论文、讨论论文,以及特定主题的偶尔特刊或相关会议的记录。《统计与计算》还出版书评和软件评论部分。
0960-3174SCIE/Scopus收录
1.6
1.7
2026年3月发布
点击查看历史分区趋势    >
大类学科小类学科Top期刊综述期刊
数学3区
COMPUTER SCIENCE, THEORY & METHODS 计算机:理论方法
3区
STATISTICS & PROBABILITY 统计学与概率论
3区
N/A
WOS期刊SCI分区  2024-2025最新升级版
按JIF指标学科分区收集子录JIF分区JIF排名百分位
学科:COMPUTER SCIENCE, THEORY & METHODS
SCIE
Q3
74/147
学科:STATISTICS & PROBABILITY
SCIE
Q2
51/169
按JCR指标学科分区收集子录JCR分区JCR排名百分位
学科:COMPUTER SCIENCE, THEORY & METHODS
SCIE
Q2
58/147
学科:STATISTICS & PROBABILITY
SCIE
Q2
52/169
61
205
3%0较慢,6-12周-数学-计算机:理论方法
12.5%
时间预警情况
2026年03月发布的新锐学术版不在预警名单中
2025年03月发布的2025版不在预警名单中
2024年02月发布的2024版不在预警名单中
2023年01月发布的2023版不在预警名单中
2021年12月发布的2021版不在预警名单中
2020年12月发布的2020版不在预警名单中
100.00%42.86%-
CiteScore:2.50
SJR:0.815
SNIP:1.265
学科类别分区排名百分位
大类:Mathematics
小类:Statistics and Probability
Q2
126 / 293
大类:Mathematics
小类:Statistics, Probability and Uncertainty
Q2
76 / 175
大类:Mathematics
小类:Computational Theory and Mathematics
Q3
103 / 197
大类:Mathematics
小类:Theoretical Computer Science
Q3
75 / 136

期刊高被引文献

Control variates for stochastic gradient MCMC
来源期刊:Statistics and ComputingDOI:10.1007/s11222-018-9826-2
Deep Gaussian mixture models
来源期刊:Statistics and ComputingDOI:10.1007/s11222-017-9793-z
Dynamic nested sampling: an improved algorithm for parameter estimation and evidence calculation
来源期刊:Statistics and ComputingDOI:10.1007/s11222-018-9844-0
A probabilistic model for the numerical solution of initial value problems
来源期刊:Statistics and ComputingDOI:10.1007/s11222-017-9798-7
Penalized estimation of directed acyclic graphs from discrete data
来源期刊:Statistics and ComputingDOI:10.1007/s11222-018-9801-y
Decision-making under uncertainty: using MLMC for efficient estimation of EVPPI
来源期刊:Statistics and ComputingDOI:10.1007/s11222-018-9835-1
Bayesian nonparametric spectral density estimation using B-spline priors
来源期刊:Statistics and ComputingDOI:10.1007/s11222-017-9796-9
Robust finite mixture modeling of multivariate unrestricted skew-normal generalized hyperbolic distributions
来源期刊:Statistics and ComputingDOI:10.1007/s11222-018-9815-5
Resample-smoothing of Voronoi intensity estimators
来源期刊:Statistics and ComputingDOI:10.1007/S11222-018-09850-0
Informed sub-sampling MCMC: approximate Bayesian inference for large datasets
来源期刊:Statistics and ComputingDOI:10.1007/s11222-018-9817-3
Langevin diffusions on the torus: estimation and applications
来源期刊:Statistics and ComputingDOI:10.1007/s11222-017-9790-2
Bayesian nonparametric clustering for large data sets
来源期刊:Statistics and ComputingDOI:10.1007/s11222-018-9803-9
Selection of sparse vine copulas in high dimensions with the Lasso
来源期刊:Statistics and ComputingDOI:10.1007/s11222-018-9807-5
Model-based clustering with sparse covariance matrices
来源期刊:Statistics and ComputingDOI:10.1007/S11222-018-9838-Y
Interpretable sparse SIR for functional data
来源期刊:Statistics and ComputingDOI:10.1007/s11222-018-9806-6
Quantifying uncertainty in transdimensional Markov chain Monte Carlo using discrete Markov models
来源期刊:Statistics and ComputingDOI:10.1007/s11222-018-9828-0
Double-Parallel Monte Carlo for Bayesian analysis of big data
来源期刊:Statistics and ComputingDOI:10.1007/S11222-017-9791-1
Structured priors for sparse probability vectors with application to model selection in Markov chains
来源期刊:Statistics and ComputingDOI:10.1007/S11222-019-09856-2
Learning causal structure from mixed data with missing values using Gaussian copula models
来源期刊:Statistics and ComputingDOI:10.1007/s11222-018-9810-x
Efficient construction of Bayes optimal designs for stochastic process models
来源期刊:Statistics and ComputingDOI:10.1007/s11222-018-9833-3
Rejection sampling for tempered Lévy processes
来源期刊:Statistics and ComputingDOI:10.1007/s11222-018-9822-6
Rank aggregation using latent-scale distance-based models
来源期刊:Statistics and ComputingDOI:10.1007/s11222-018-9811-9
Prior specification for binary Markov mesh models
来源期刊:Statistics and ComputingDOI:10.1007/s11222-018-9813-7
Laplace approximation and natural gradient for Gaussian process regression with heteroscedastic student-t model
来源期刊:Statistics and ComputingDOI:10.1007/s11222-018-9836-0
Antithetic and Monte Carlo kernel estimators for partial rankings
来源期刊:Statistics and ComputingDOI:10.1007/s11222-019-09859-z
Efficient sampling of conditioned Markov jump processes
来源期刊:Statistics and ComputingDOI:10.1007/S11222-019-09861-5
On an algorithm for solving Fredholm integrals of the first kind
来源期刊:Statistics and ComputingDOI:10.1007/s11222-018-9829-z
Importance sampling for partially observed temporal epidemic models
来源期刊:Statistics and ComputingDOI:10.1007/s11222-018-9827-1
Multilevel particle filters for Lévy-driven stochastic differential equations
来源期刊:Statistics and ComputingDOI:10.1007/S11222-018-9837-Z
An approximate fractional Gaussian noise model with $$\\mathcal {O}(n)$$O(n) computational cost
来源期刊:Statistics and ComputingDOI:10.1007/s11222-018-9843-1
A constrained regression model for an ordinal response with ordinal predictors
来源期刊:Statistics and ComputingDOI:10.1007/s11222-018-9842-2
Consistency of the maximum likelihood estimator in seasonal hidden Markov models
来源期刊:Statistics and ComputingDOI:10.1007/s11222-019-09854-4
The dynamic stochastic topic block model for dynamic networks with textual edges
来源期刊:Statistics and ComputingDOI:10.1007/S11222-018-9832-4
Exact MCMC with differentially private moves
来源期刊:Statistics and ComputingDOI:10.1007/S11222-018-9847-X
Generalized additive models with flexible response functions
来源期刊:Statistics and ComputingDOI:10.1007/s11222-017-9799-6
Inference for ETAS models with non-Poissonian mainshock arrival times
来源期刊:Statistics and ComputingDOI:10.1007/S11222-018-9845-Z
Randomized algorithms of maximum likelihood estimation with spatial autoregressive models for large-scale networks
来源期刊:Statistics and ComputingDOI:10.1007/S11222-019-09862-4
Anomaly and Novelty detection for robust semi-supervised learning
来源期刊:Statistics and ComputingDOI:10.1007/s11222-020-09959-1
Improving the efficiency and robustness of nested sampling using posterior repartitioning
来源期刊:Statistics and ComputingDOI:10.1007/s11222-018-9841-3
Latent mixture modeling for clustered data
来源期刊:Statistics and ComputingDOI:10.1007/s11222-018-9821-7
Sampling of pairs in pairwise likelihood estimation for latent variable models with categorical observed variables
来源期刊:Statistics and ComputingDOI:10.1007/s11222-018-9812-8
Orthant probabilities of elliptical distributions from orthogonal projections to subspaces
来源期刊:Statistics and ComputingDOI:10.1007/s11222-018-9808-4
Information preserving regression-based tools for statistical disclosure control
来源期刊:Statistics and ComputingDOI:10.1007/S11222-018-9848-9
Best linear estimation via minimization of relative mean squared error
来源期刊:Statistics and ComputingDOI:10.1007/s11222-017-9792-0
Computationally efficient Bayesian estimation of high-dimensional Archimedean copulas with discrete and mixed margins
来源期刊:Statistics and ComputingDOI:10.1007/S11222-018-9846-Y
Long memory estimation for complex-valued time series
来源期刊:Statistics and ComputingDOI:10.1007/s11222-018-9820-8
Selecting the tuning parameter in penalized Gaussian graphical models
来源期刊:Statistics and ComputingDOI:10.1007/s11222-018-9823-5
Asymptotic normality of extensible grid sampling
来源期刊:Statistics and ComputingDOI:10.1007/s11222-017-9794-y
Correction to: Multilevel particle filters for Lévy-driven stochastic differential equations
来源期刊:Statistics and ComputingDOI:10.1007/S11222-018-9839-X
Convergence analysis of herded-Gibbs-type sampling algorithms: effects of weight sharing
来源期刊:Statistics and ComputingDOI:10.1007/S11222-019-09852-6

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