雜志介紹

Methodology And Computing In Applied Probability雜志介紹

《Methodology And Computing In Applied Probability》是一本以English為主的未開放獲取國際優秀期刊，中文名稱應用概率的方法論和計算，本刊主要出版、報道數學-STATISTICS & PROBABILITY領域的研究動態以及在該領域取得的各方面的經驗和科研成果，介紹該領域有關本專業的最新進展，探討行業發展的思路和方法，以促進學術信息交流，提高行業發展。該刊已被國際權威數據庫SCIE收錄，為該領域相關學科的發展起到了良好的推動作用，也得到了本專業人員的廣泛認可。該刊最新影響因子為1，最新CiteScore 指數為1.7。

本刊近期中國學者發表的論文主要有：

• Strong Consistency for the Conditional Self-weighted M Estimator of GRCA(p) Models

  Author: Yao, Chi; Yu, Wei; Wang, Xuejun

• Strong Convergence for Weighted Sums of Widely Orthant Dependent Random Variables and Applications

  Author: Wu, Yi; Wang, Xuejun; Shen, Aiting

• Asymptotic Properties of the M-estimation for an AR(1) Process with a General Autoregressive Coefficient

  Author: Wang, Xinghui; Geng, Wenjing; Han, Ruidong; Xu, Qifa

• Poisson Edge Growth and Preferential Attachment Networks

  Author: Wang, Tiandong; Resnick, Sidney

英文介紹

Methodology And Computing In Applied Probability雜志英文介紹

Methodology and Computing in Applied Probability will publish high quality research and review articles in the areas of applied probability that emphasize methodology and computing. Of special interest are articles in important areas of applications that include detailed case studies. Applied probability is a broad research area that is of interest to many scientists in diverse disciplines including: anthropology, biology, communication theory, economics, epidemiology, finance, linguistics, meteorology, operations research, psychology, quality control, reliability theory, sociology and statistics.

The following alphabetical listing of topics of interest to the journal is not intended to be exclusive but to demonstrate the editorial policy of attracting papers which represent a broad range of interests:

-Algorithms-

Approximations-

Asymptotic Approximations & Expansions-

Combinatorial & Geometric Probability-

Communication Networks-

Extreme Value Theory-

Finance-

Image Analysis-

Inequalities-

Information Theory-

Mathematical Physics-

Molecular Biology-

Monte Carlo Methods-

Order Statistics-

Queuing Theory-

Reliability Theory-

Stochastic Processes