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Journal of Probability and Statistics is an open access journal publishing papers on the theory and application of probability and statistics that consider new methods and approaches to their implementation, or report significant results for the field.
As part of Wiley’s Forward Series, this journal offers a streamlined, faster publication experience with a strong emphasis on integrity. Authors receive practical support to maximize the reach and discoverability of their work.
Articles
The Variable Multiple Bandpass Periodic Block Bootstrap for Time Series With Multiple Periodic Correlations
-  12 March 2025
Clustering Approaches for Mixed‐Type Data: A Comparative Study
-  27 February 2025
Regression Modeling Using Generalized Pareto‐IV Distribution With Application to Household Budget Survey
-  12 February 2025
Relative Performance of Model Selection Criteria for Cox Proportional Hazards Regression Based on Kullback’s Symmetric Divergence
-  29 January 2025
Time‐Series Forecasting Using SVMD‐LSTM: A Hybrid Approach for Stock Market Prediction
-  8 January 2025
The following is a list of the most cited articles based on citations published in the last three years, according to CrossRef.
The Exponentiated Half‐Logistic Family of Distributions: Properties and Applications
-  13 March 2014
Analysis of Longitudinal and Survival Data: Joint Modeling, Inference Methods, and Issues
-  7 December 2011
Bandwidth Selection for Recursive Kernel Density Estimators Defined by Stochastic Approximation Method
-  2 June 2014
Some Characterization Results on Dynamic Cumulative Residual Tsallis Entropy
-  29 October 2015