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BEGIN:VEVENT
UID:3e0b189f2114e8e545b931ef5a5fac85
CATEGORIES:Experimental Mathematics Seminar
CREATED:20220925T145214
SUMMARY:Parameter estimation in discrete-time systems
LOCATION:Zoom
DESCRIPTION:Abstract:The parameter identifiability problem for a dynamical system is to
  determine whether the parameters of the system can be found from a given s
 ubset of variables of the system. Verifying whether the parameters are inde
 ntifiable is a necessary first step before trying to estimate the values of
  the parameters. We will discuss these problems in the context of discrete-
 time systems with exponential functions.\n
X-ALT-DESC;FMTTYPE=text/html:<p style="color: #000000; font-family: 'Times New Roman'; font-size: medium
 ; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: start; 
 text-indent: 0px; text-transform: none; white-space: normal; widows: 2; wor
 d-spacing: 0px;"><em>Abstract</em>:The parameter identifiability problem fo
 r a dynamical system is to determine whether the parameters of the system c
 an be found from a given subset of variables of the system. Verifying wheth
 er the parameters are indentifiable is a necessary first step before trying
  to estimate the values of the parameters. We will discuss these problems i
 n the context of discrete-time systems with exponential functions.</p>
CONTACT:Alexey Ovchinnikov, CUNY and Queen College
X-EXTRAINFO:Zoom Link https://rutgers.zoom.us/j/94346444480 [password: The 20th Catalan
  number, alias (40)!/(20!*21!), alias 6564120420 ]
DTSTAMP:20260828T084851
DTSTART;TZID=America/New_York:20220929T170000
DTEND;TZID=America/New_York:20220929T180000
SEQUENCE:0
TRANSP:OPAQUE
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