BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//pretalx//cfp.scipy.org//2023//speaker//EQBG7G
BEGIN:VTIMEZONE
TZID:America/Chicago
BEGIN:DAYLIGHT
DTSTART:20220711T000000
TZNAME:CDT
TZOFFSETFROM:-0500
TZOFFSETTO:-0500
END:DAYLIGHT
BEGIN:STANDARD
DTSTART:20221106T020000
RDATE:20231105T020000
TZNAME:CST
TZOFFSETFROM:-0500
TZOFFSETTO:-0600
END:STANDARD
BEGIN:DAYLIGHT
DTSTART:20230312T030000
RDATE:20240310T030000
TZNAME:CDT
TZOFFSETFROM:-0600
TZOFFSETTO:-0500
END:DAYLIGHT
END:VTIMEZONE
BEGIN:VEVENT
SUMMARY:Resampling and Monte Carlo Methods in SciPy.stats - Matt Haberland
 \, Albert Steppi
DTSTART;TZID=America/Chicago:20230711T133000
DTEND;TZID=America/Chicago:20230711T173000
DTSTAMP:20261007T043634Z
UID:pretalx-2023-F3HAUQ@cfp.scipy.org
DESCRIPTION:Resampling and Monte Carlo statistical techniques are surprisi
 ngly intuitive\, and they are often more flexible and accurate than their 
 better-known analytical counterparts. In this tutorial\, participants will
  develop their intuitive understanding of frequentist statistics and apply
  it using three functions in `scipy.stats` - `monte_carlo_test`\, `permuta
 tion_test`\, and `bootstrap` - to dramatically expand the statistical anal
 yses they can perform with the SciPy Library.
LOCATION:Classroom 202
URL:https://cfp.scipy.org/2023/talk/F3HAUQ/
END:VEVENT
END:VCALENDAR