| 000 | 01013 a2200301 4500 | ||
|---|---|---|---|
| 005 | 20250518062453.0 | ||
| 264 | 0 | _c20200724 | |
| 008 | 202007s 0 0 eng d | ||
| 022 | _a1878-0067 | ||
| 024 | 7 |
_a10.1016/j.epidem.2019.100368 _2doi |
|
| 040 |
_aNLM _beng _cNLM |
||
| 100 | 1 | _aMinter, Amanda | |
| 245 | 0 | 0 |
_aApproximate Bayesian Computation for infectious disease modelling. _h[electronic resource] |
| 260 |
_bEpidemics _c12 2019 |
||
| 300 |
_a100368 p. _bdigital |
||
| 500 | _aPublication Type: Journal Article; Research Support, Non-U.S. Gov't | ||
| 650 | 0 | 4 | _aAlgorithms |
| 650 | 0 | 4 | _aBayes Theorem |
| 650 | 0 | 4 |
_aCommunicable Diseases _xepidemiology |
| 650 | 0 | 4 | _aComputer Simulation |
| 650 | 0 | 4 | _aData Collection |
| 650 | 0 | 4 | _aHumans |
| 650 | 0 | 4 | _aLikelihood Functions |
| 650 | 0 | 4 | _aModels, Statistical |
| 700 | 1 | _aRetkute, Renata | |
| 773 | 0 |
_tEpidemics _gvol. 29 _gp. 100368 |
|
| 856 | 4 | 0 |
_uhttps://doi.org/10.1016/j.epidem.2019.100368 _zAvailable from publisher's website |
| 999 |
_c30153609 _d30153609 |
||