Monte Carlo Simulation: What It Is, How It Works, History, 4 Key Steps

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.
Nature

Nonparametric Methods in Probability Density Estimation

Nonparametric methods provide a flexible framework for estimating the probability density function of random variables without imposing a strict parametric model. By relying directly on observed data, ...
Nature

The probability of identifying a 10/10 HLA allele-matched unrelated donor is highly predictable

Identification of an unrelated HLA allele-matched hematopoietic stem cell (HSC) donor is a costly and time-consuming procedure. To improve search logistics, we have limited the search period to 6 ...
PharmTech

Determining the Best Estimate of Probability of Passing Multiple Stage Tests: Part 2—Dissolution

Pramote Cholayudth, [email protected], 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 ...
Healio

Study: Most physicians overestimate probability of successful medical outcomes

Please provide your email address to receive an email when new articles are posted on . In a recent survey study, nearly 80% of physicians overestimated the probability of successful patient outcomes ...
Risk

Forward ordinal probability models for point-in-time probability of default term structure: methodologies and implementations for IFRS 9 expected credit loss estimation and ...

Common ordinal models, including the ordered logit model and the continuation ratio model, are formulated by a common score (ie, a linear combination of given explanatory variables) plus rank-specific ...