Methodology and Computing in Applied Probability
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.
Equilibrium and Precommitment Mean-Variance Portfolio Selection Problem with Partially Observed Price Index and Multiple Assets
Guohui Guan (January 2019)
Renewed Looks at the Distribution of a Sum of Independent or Dependent Discrete Random Variables and Related Problems
Yong Kong (December 2018)
- Journal Title
- Methodology and Computing in Applied Probability
- Volume 1 / 1999 - Volume 20 / 2018
- Print ISSN
- Online ISSN
- Springer US
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