BEGIN:VCALENDAR
VERSION:2.0
PRODID:-// - ECPv5.3.1//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-ORIGINAL-URL:https://aarms.math.ca
X-WR-CALDESC:Events for 
BEGIN:VTIMEZONE
TZID:America/Halifax
BEGIN:DAYLIGHT
TZOFFSETFROM:-0400
TZOFFSETTO:-0300
TZNAME:ADT
DTSTART:20200308T060000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0300
TZOFFSETTO:-0400
TZNAME:AST
DTSTART:20201101T050000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=America/Halifax:20200603T150000
DTEND;TZID=America/Halifax:20200603T163000
DTSTAMP:20260414T193621
CREATED:20200531T155108Z
LAST-MODIFIED:20200701T014932Z
UID:5016-1591196400-1591201800@aarms.math.ca
SUMMARY:AARMS COVID-19 Seminar: JC Loredo-Osti (MUN)
DESCRIPTION:The Euler’s method and the Gillespie algorithm to simulate a stochastic SIR model (part 1)\nJC Loredo-Osti (MUN)\nIn this presentation\, we will discuss the implementation of the two more common procedures to simulate a stochastic compartmentalised epidemic model\, the Euler’s method and the Gillespie algorithm. We will also talk about extensions to the stochastic SIR model\, as for example\, the two ways to include a compartment for asymptomatic cases as well as extensions to account for a non-homogeneous process to accommodate for a non-exponential serial time distribution. \nThis is a virtual zoom seminar.  If you would like to attend\, please email the organizers for connection details.
URL:https://aarms.math.ca/event/aarms-covid-19-seminar-jc-loredo-osti-mun-2/
LOCATION:Zoom seminar
CATEGORIES:AARMS COVID-19 Seminar
END:VEVENT
END:VCALENDAR