BEGIN:VCALENDAR
PRODID:-//github.com/ical-org/ical.net//NONSGML ical.net 4.0//EN
VERSION:2.0
BEGIN:VTIMEZONE
TZID:America/New_York
X-LIC-LOCATION:America/New_York
BEGIN:STANDARD
DTSTART:20241103T020000
RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11
TZNAME:EST
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
END:STANDARD
BEGIN:DAYLIGHT
DTSTART:20250309T020000
RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3
TZNAME:EDT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
END:DAYLIGHT
END:VTIMEZONE
BEGIN:VEVENT
DESCRIPTION:NOTE: BIS 525 students are required to attend in person. Other
 s are invited to attend in person\, but may also attend via Zoom. SPEAKER
  : Will Townes\, PhD\, Assistant Professor\, Department of Statistics and
  Data Science\, Carnegie Mellon University TITLE : “A novel class of mixe
 d Poisson distributions and wastewater-based epidemiology" ABSTRACT: Mixe
 d Poisson families are widely used to model count data with overdispersio
 n\, zero inflation\, or heavy tails in a variety of applications includin
 g finance\, biology\, and the physical sciences. The Poisson rate is typi
 cally assigned a nonnegative-valued mixing distribution. Surprisingly\, i
 t is also possible for the mixing distribution to have negative support. 
 For example\, the Hermite distribution is analogous to mixing a Poisson w
 ith an unconstrained Gaussian and can be derived using generating functio
 ns so long as constraints on the natural parameter are satisfied. I will 
 give a general characterization of this unusual class as well as several 
 concrete examples. Time permitting\, I will also briefly present some rec
 ent applied work in wastewater-based epidemiology involving the pepper mi
 ld mottle virus biomarker. YSPH values inclusion and access for all parti
 cipants. If you have questions about accessibility or would like to reque
 st an accommodation\, please contact Charmila Fernandes at Charmila.ferna
 ndes@yale.edu . We will try to provide accommodations requested by Novemb
 er 6\, 2025.\n\nSpeaker:\nWill Townes\, PhD\n\nAdmission:\nFree\n\nDetail
 s URL:\nhttps://medicine.yale.edu/event/ysph-biostatistics-seminar-tba-11
 -11-25-copy/\n
DTEND;TZID=America/New_York:20251111T125000
DTSTAMP:20260426T022728Z
DTSTART;TZID=America/New_York:20251111T120000
GEO:41.302961;-72.931638
LOCATION:106-A&B\, 47 College Street\, New Haven\, CT\, United States
SEQUENCE:0
STATUS:Confirmed
SUMMARY:YSPH Biostatistics Seminar: “A novel class of mixed Poisson distri
 butions and wastewater-based epidemiology"
UID:3629aaa1-c669-4c1f-a9bb-c9bc233cae6d
END:VEVENT
END:VCALENDAR