John P Lehoczky
Biographic Data
| ID | 3449531 |
|---|---|
| NAME | John P Lehoczky |
| GIVEN NAMES | John P |
| FAMILY NAME | Lehoczky |
| SIGNATURE | LEHOCZKY J P |
| AFFILIATIONS | Carnegie Mellon University |
| VERIFIED | No |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 5 |
| AUTHOR COUNT | 3 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 1980 |
| LATEST PUBLICATION YEAR | 2015 |
| H-INDEX | 1 |
Distributions, Statistical
Distributions, Statistical
Approximations for interactive Markov chains in discrete and continuous time
A class of models called interactive Markov chains is studied in both discrete and continuous time. These models were introduced by Conlisk and serve as a rich class for sociological modeling, because they allow for interactions among individuals. In discrete time, it is proved that the Markovian processes converge to a deterministic process almost surely as the population size becomes infinite. More importantly, the normalized process is shown t…
Approximations for interactive Markov chains in discrete and continuous time
A class of models called interactive Markov chains is studied in both discrete and continuous time. These models were introduced by Conlisk and serve as a rich class for sociological modeling, because they allow for interactions among individuals. In discrete time, it is proved that the Markovian processes converge to a deterministic process almost surely as the population size becomes infinite. More importantly, the normalized process is shown t…
Approximations for interactive Markov chains in discrete and continuous time
A class of models called interactive Markov chains is studied in both discrete and continuous time. These models were introduced by Conlisk and serve as a rich class for sociological modeling, because they allow for interactions among individuals. In discrete time, it is proved that the Markovian processes converge to a deterministic process almost surely as the population size becomes infinite. More importantly, the normalized process is shown t…
Distributions, Statistical
Distributions, Statistical
Mathematics (3 works) · Statistics (3 works) · Applied Mathematics (2 works) · Exponential distribution (2 works) · Heavy-tailed distribution (2 works) · Probability distribution (2 works) · Statistical Distribution Estimation and Applications (2 works) · Statistical Methods and Bayesian Inference (2 works) · Advanced Queuing Theory Analysis (1 work) · Applied Mathematics (1 work)