The Monte Carlo simulation estimates the probability of different outcomes in a process that cannot easily be predicted because of the potential for random variables.
Discover why options market data suggests a lower crash risk for U.S. stocks than pundit surveys, and how to optimize asset ...
This paper introduces a new approach to landmine data analysis—an approach centered on probabilistic forecasts to support decision-making in the allocation of demining resources, relocation of ...
Robbins (1968) considered the problem of estimating the total probability of the unobserved outcomes of an experiment. In this paper we suggest an estimator, based on n trials, and show that under ...
Pramote Cholayudth, cpramote2000@yahoo.com, is the founder and manager of PM Consult. He is an industrial pharmacist with more than 40 years of experience. He is a guest speaker on process validation ...
In this paper, we propose Vasicek-type models for estimating portfolio-level probability of default (PD). With these Vasicek models, asset correlation and long-run PD (LRPD) for a risk-homogeneous ...
Pramote Cholayudth is an industrial pharmacist with more than 40 years of experiences. He is a guest speaker on Process Validation to industrial pharmaceutical scientists organized by Thailand’s FDA.
Insurance can effectively mitigate significant operational risks. However, not all losses are insurable, and payments of covered losses are not generally reimbursed in full for reasons including the ...
New research found that infants have better math skills than previously suspected. From the age of six months, babies can calculate probability and estimate risk. Research from the Max Planck ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback