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.

出版高質(zhì)量的研究和評論文章，在應(yīng)用概率領(lǐng)域，強調(diào)方法和計算。該雜志的重點文章，審查重要的應(yīng)用程序，包括詳細的案例研究。的政策吸引論文代表廣泛的利益,《華爾街日報》等主題覆蓋算法,近似,組合和幾何概率,通信網(wǎng)絡(luò),極值理論,金融、圖像分析、不平等、信息理論、數(shù)學(xué)物理、分子生物學(xué)、蒙特卡羅方法、訂單統(tǒng)計、排隊論、可靠性理論和隨機過程。