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PRODID:Data::ICal 0.24
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TZID:Pacific/Auckland
X-LIC-LOCATION:Pacific/Auckland
BEGIN:DAYLIGHT
DTSTART:19700927T020000
RRULE:FREQ=YEARLY;BYMONTH=9;BYDAY=-1SU
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TZOFFSETFROM:+1200
TZOFFSETTO:+1300
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DTSTART:19700405T030000
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BEGIN:VEVENT
CATEGORIES:SMS Seminars
CONTACT:Dr Matteo Ventura (University of Brescia\, Italy)
DESCRIPTION:Understanding consumer perceptions is crucial when dealing with
  complex topics such as sustainability and the value of Made in Italy. Rat
 ing data are often collected through surveys to capture these attitudes\, 
 but their analysis requires specific statistical tools. In this seminar\, 
 I will provide an overview of the CUB (Combination of a Uniform and a shif
 ted Binomial) model\, specifically proposed for the analysis of rating dat
 a. After introducing the main aspects of the CUB model and the CUB family\
 , I will focus on recent developments in model-based clustering of ordinal
  data within this framework. The methodology will be illustrated through a
  case study conducted in the context of the MICS (Made in Italy - Circular
  e Sustainable) project\, where consumersâ perceptions regarding sustain
 ability and Made in Italy were investigated.
DTEND;TZID=Pacific/Auckland:20251020T120000
DTSTAMP:20260616T075022Z
DTSTART;TZID=Pacific/Auckland:20251020T110000
LOCATION:Cotton Club\, Cotton 350
ORGANIZER:Dr Matteo Ventura (University of Brescia\, Italy)
SUMMARY:Dr Matteo Ventura (University of Brescia\, Italy) - Clustering rati
 ng data within the CUB framework: a case study on sustainability for Made 
 in Italy products
UID:seminar_sms1025_20251007140613
URL:https://www.unibs.it/sites/default/files/ugov_cvfiles/cv/ugov_cvpersona
 _en_000145546.pdf
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