Stochastic sensitivity analysis of volcanic activity

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Sensitivity Analysis in Monte Carlo Simulation of Stochastic Activity Networks

Stochastic activity networks (SANs) such as those arising in Project Evaluation Review Technique (PERT) and Critical Path Method (CPM) are an important classical set of models in operations research. We focus on sensitivity analysis for stochastic activity networks when Monte Carlo simulation is employed. After a brief aside reminiscing on Saul’s influence on the author’s career and on the simu...

متن کامل

Sensitivity Analysis of Discrete Stochastic Biological Systems

Sensitivity analysis quantifies the dependence of system “behavior” on the parameters that affect the process dynamics. Classical sensitivity analysis, however, does not directly apply to discrete stochastic dynamical systems, which have recently gained popularity because of its relevance to biological processes. In this work, the sensitivity analysis for discrete stochastic processes is develo...

متن کامل

Sensitivity analysis of discrete stochastic systems.

Sensitivity analysis quantifies the dependence of system behavior on the parameters that affect the process dynamics. Classical sensitivity analysis, however, does not directly apply to discrete stochastic dynamical systems, which have recently gained popularity because of its relevance in the simulation of biological processes. In this work, sensitivity analysis for discrete stochastic process...

متن کامل

Stochastic Modeling of Past Volcanic Crises

The statistical foundation of disaster risk analysis is past experience. From a scientific perspective, history is just one realization of what might have happened, given the randomness and chaotic dynamics of nature. Stochastic analysis of the past is an exploratory exercise in counterfactual history, considering alternative possible scenarios. In particular, the dynamic perturbations that mig...

متن کامل

Robust Sensitivity Analysis for Stochastic Systems

We study a worst-case approach to measure the sensitivity to model misspecification in the performance analysis of stochastic systems. The situation of interest is when only minimal parametric information is available on the form of the true model. Under this setting, we post optimization programs that compute the worst-case performance measures, subject to constraints on the amount of model mi...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Mathematical Methods in the Applied Sciences

سال: 2020

ISSN: 0170-4214,1099-1476

DOI: 10.1002/mma.6717