Journal of nonparametric statistics

期刊简介：Journal of Nonparametric Statistics provides a medium for the publication of research and survey work in nonparametric statistics and related areas. The scope includes, but is not limited to the following topics: Nonparametric modeling,Nonparametric function estimation,Rank and other robust and distribution-free procedures,Resampling methods,Lack-of-fit testing,Multivariate analysis,Inference with high-dimensional data,Dimension reduction and variable selection,Methods for errors in variables, missing, censored, and other incomplete data structures,Inference of stochastic processes,Sample surveys,Time series analysis,Longitudinal and functional data analysis,Nonparametric Bayes methods and decision procedures,Semiparametric models and procedures,Statistical methods for imaging and tomography,Statistical inverse problems,Financial statistics and econometrics,Bioinformatics and comparative genomics,Statistical algorithms and machine learning.Both the theory and applications of nonparametric statistics are covered in the journal. Research applying nonparametric methods to medicine, engineering, technology, science and humanities is welcomed, provided the novelty and quality level are of the highest order. Authors are encouraged to submit supplementary technical arguments, computer code, data analysed in the paper or any additional information for online publication along with the published paper.

【译文】《非参数统计杂志》提供了一个发表非参数统计及其相关领域研究工作和调查工作的平台。范围包括但不限于以下主题：非参数建模、非参数函数估计、秩和其他稳健和无分布过程、重采样方法、拟合优度检验、多元分析、高维数据推断、降维和变量选择、变量误差、缺失、截断和其他不完整数据结构的方法、随机过程推断、样本调查、时间序列分析、纵向和功能数据分析、非参数贝叶斯方法和决策程序、半参数模型和程序、图像和断层扫描的统计方法、统计逆问题、金融统计和计量经济学、生物信息学和比较基因组学、统计算法和机器学习。该杂志涵盖了非参数统计的理论和应用。欢迎将非参数方法应用于医学、工程、技术、科学和人文学科的研究，只要新颖性和质量水平是最高的。鼓励作者提交补充技术论证、计算机代码、论文中分析的数据或任何其他附加信息，与已发表的论文一起在线发表。