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.
JSTOR Daily

Sequential Monte Carlo Smoothing with Application to Parameter Estimation in Nonlinear State Space Models

This paper concerns the use of sequential Monte Carlo methods (SMC) for smoothing in general state space models. A well-known problem when applying the standard SMC technique in the smoothing mode is ...
JSTOR Daily

The Interpretation of Conditional Monte Carlo as a Form of Importance Sampling

SIAM Journal on Applied Mathematics, Vol. 36, No. 1 (Feb., 1979), pp. 115-122 (8 pages) Conditional Monte Carlo has been recognized as a potentially useful method in various Monte Carlo applications.
CRN

Data Observability Tech Startup Monte Carlo Raises $60M

Monte Carlo’s platform is designed to help businesses monitor and improve the quality and reliability of their data assets as they become data-driven organizations. Monte Carlo, a startup developer of ...
Investopedia

Retirement Planning With Monte Carlo Simulations for Secure Withdrawals

Mark Cussen, CMFC, has 13+ years of experience as a writer and provides financial education to military service members and the public. Mark is an expert in investing, economics, and market news.
EDN

XtremeData’s XD2000i in-socket accelerator based on multiple Stratix III FPGAs

At the Intel Developer Forum (IDF), now in progress in Shanghai, XtremeData, Altera, and Intel are demonstrating acceleration of a full double-precision floating point simulation of a Monte Carlo ...