A guide to simulation (2nd ed.)
A guide to simulation (2nd ed.)
Correlation induction without the inverse transformation
WSC '86 Proceedings of the 18th conference on Winter simulation
An Efficient Method for Generating Discrete Random Variables with General Distributions
ACM Transactions on Mathematical Software (TOMS)
Computer Generation of Poisson Deviates from Modified Normal Distributions
ACM Transactions on Mathematical Software (TOMS)
Generating beta variates with nonintegral shape parameters
Communications of the ACM
Principles of Discrete Event Simulation
Principles of Discrete Event Simulation
WSC '81 Proceedings of the 13th conference on Winter simulation - Volume 1
Algorithm 678: BTPEC: sampling from the binomial distribution
ACM Transactions on Mathematical Software (TOMS)
WSC '92 Proceedings of the 24th conference on Winter simulation
The patchwork rejection technique for sampling from unimodal distributions
ACM Transactions on Modeling and Computer Simulation (TOMACS)
Approximate Aggregation Techniques for Sensor Databases
ICDE '04 Proceedings of the 20th International Conference on Data Engineering
COCOON'10 Proceedings of the 16th annual international conference on Computing and combinatorics
A general framework for graph sparsification
Proceedings of the forty-third annual ACM symposium on Theory of computing
Bagging using statistical queries
ECML'06 Proceedings of the 17th European conference on Machine Learning
Simulating Size-constrained Galton-Watson Trees
SIAM Journal on Computing
Using cost-aware transitions for reorganizing multiagent systems
Engineering Applications of Artificial Intelligence
Population dynamics p systems on CUDA
CMSB'12 Proceedings of the 10th international conference on Computational Methods in Systems Biology
Hi-index | 48.22 |
Existing binomial random-variate generators are surveyed, and a new generator designed for moderate and large means is developed. The new algorithm, BTPE, has fixed memory requirements and is faster than other such algorithms, both when single, or when many variates are needed.