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PRODID:IEEE vTools.Events//EN
CALSCALE:GREGORIAN
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TZID:America/Chicago
BEGIN:DAYLIGHT
DTSTART:20220313T030000
TZOFFSETFROM:-0600
TZOFFSETTO:-0500
RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3
TZNAME:CDT
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BEGIN:STANDARD
DTSTART:20221106T010000
TZOFFSETFROM:-0500
TZOFFSETTO:-0600
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TZNAME:CST
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BEGIN:VEVENT
DTSTAMP:20221024T230107Z
UID:6BE35779-BFFB-431E-A576-0D8187E896A7
DTSTART;TZID=America/Chicago:20221020T180000
DTEND;TZID=America/Chicago:20221020T200000
DESCRIPTION:Extreme Value Analysis (EVA) is a statistical methodology for m
 aking inferences about rare events\, typically ones that can result in sev
 ere consequences\, such as extreme weather\, financial risks\, material/eq
 uipment failures\, epidemics\, solar cycles\, insurance losses\, and much 
 more. This talk will provide an introduction to EVA\, including the theore
 tical basis for it\, a demonstration of EVA computations using Python and 
 R\, and specific examples of its use in practice.\n\nSpeaker(s): Al Reich\
 , \n\nAgenda: \n6:00 to 6:10 PM - Open for participants to enter and netwo
 rk.\n6:10 to 6:20 PM - IEEE LM and CTCN Business meeting and to introduce 
 speaker.\n6:20 to 7:30 PM - Formal Program and Q&amp;A.\n\nRoom: 8\, Austin Am
 erican Resource Center\, 8401 Cameron Rd\, Austin\, Texas\, United States\
 , 78754\, Virtual: https://events.vtools.ieee.org/m/326185
LOCATION:Room: 8\, Austin American Resource Center\, 8401 Cameron Rd\, Aust
 in\, Texas\, United States\, 78754\, Virtual: https://events.vtools.ieee.o
 rg/m/326185
ORGANIZER:lbasto@ieee.org
SEQUENCE:4
SUMMARY:IEEE CTS CTCN and LM Oct 20\, 2022 meeting: Extreme Value Analysis
URL;VALUE=URI:https://events.vtools.ieee.org/m/326185
X-ALT-DESC:Description: &lt;br /&gt;&lt;p&gt;&lt;span style=&quot;font-size: 12.0pt\; font-fami
 ly: Times New Roman\,serif\;&quot;&gt;Extreme Value Analysis (EVA) is a statistica
 l methodology for making inferences about rare events\, typically ones tha
 t can result in severe consequences\, such as extreme weather\, financial 
 risks\, material/equipment failures\, epidemics\, solar cycles\, insurance
  losses\, and much more. This talk will provide an introduction to EVA\, i
 ncluding the theoretical basis for it\, a demonstration of EVA computation
 s using Python and R\, and specific examples of its use in practice.&lt;/span
 &gt;&lt;/p&gt;&lt;br /&gt;&lt;br /&gt;Agenda: &lt;br /&gt;&lt;div dir=&quot;ltr&quot; data-setdir=&quot;false&quot;&gt;6:00 to 
 6:10 PM - Open for participants to enter and network.&amp;nbsp\;&lt;/div&gt;\n&lt;div d
 ir=&quot;ltr&quot; data-setdir=&quot;false&quot;&gt;6:10 to 6:20 PM - IEEE LM and CTCN Business m
 eeting and to introduce speaker.&lt;/div&gt;\n&lt;div dir=&quot;ltr&quot; data-setdir=&quot;false&quot;
 &gt;6:20 to 7:30 PM - Formal Program and Q&amp;amp\;A.&amp;nbsp\;&lt;/div&gt;
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