METHODOLOGY AND COMPUTING IN APPLIED PROBABILITY

出版高质量的研究和评论文章，在应用概率领域，强调方法和计算。该杂志的重点文章，审查重要的应用程序，包括详细的案例研究。的政策吸引论文代表广泛的利益,《华尔街日报》等主题覆盖算法,近似,组合和几何概率,通信网络,极值理论,金融、图像分析、不平等、信息理论、数学物理、分子生物学、蒙特卡罗方法、订单统计、排队论、可靠性理论和随机过程。

Methodology and Computing in Applied Probability publishes high quality research and review articles in areas of applied probability that emphasize methodology and computing. The journal focuses on articles that examine important applications and that include detailed case studies.With its policy of attracting papers representing a broad range of interests, the journal covers such topics as algorithms, approximations, combinatorial and 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, and stochastic processes.