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SUMMARY:Prof. Dr. Igor Mandel (NJ\, USA) & Prof.Dr. Stan Lipovetsky (MN\, 
 USA) (Retired)
DTSTART:20260402T040000Z
DTEND:20260402T050000Z
DTSTAMP:20260421T121855Z
UID:AMIS/1
DESCRIPTION:Title: <a href="https://researchseminars.org/talk/AMIS/1/">Sim
 ulation-Based Insights and Novel Criteria for Linear Regression Modeling</
 a>\nby Prof. Dr. Igor Mandel (NJ\, USA) & Prof.Dr. Stan Lipovetsky (MN\, U
 SA) (Retired) as part of Asymptotic Methods in Statistics\n\nAbstract: TBA
 \n\nAbstract: We study asymptotic behavior of the averaged integrals of a 
 Lévy-driven\nlinear process weighted by a complex exponent of polynomials
  with real coefficients.\nSuch functionals naturally arise in the problems
  relating to nonlinear regression\nanalysis and signal processing\, specif
 ically in the estimation of parameters of\nfrequency-modulated signals.\n 
   Under some conditions on the Lévy process and kernel defining the linea
 r process\,\nwe get a uniform strong law of large numbers for this weighte
 d process. More\nprecisely\, it is shown that the considered integrals con
 verge a.s. to zero uniformly\nover all the values of the real coefficients
  of the polynomials of fixed order.\n   The result obtained is then used t
 o prove strong consistency of LSE for the\nparameters of linearly-modulate
 d trigonometric signal (chirp signal) observed against\nthe background of 
 shot noise described above.\n
LOCATION:https://researchseminars.org/talk/AMIS/1/
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BEGIN:VEVENT
SUMMARY:PhD student Viktor Hladun (National Technical University of Ukrain
 e “Igor Sikorsky Kyiv Polytechnic Institute”) (National Technical Univ
 ersity of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”)
DTSTART:20260408T140000Z
DTEND:20260408T150000Z
DTSTAMP:20260421T121855Z
UID:AMIS/2
DESCRIPTION:Title: <a href="https://researchseminars.org/talk/AMIS/2/">On 
 uniform Strong Law of Large Numbers for weighted shot noise and consistenc
 y of the Least Squares Estimator of chirp signal parameters</a>\nby PhD st
 udent Viktor Hladun (National Technical University of Ukraine “Igor Siko
 rsky Kyiv Polytechnic Institute”) (National Technical University of Ukra
 ine “Igor Sikorsky Kyiv Polytechnic Institute”) as part of Asymptotic 
 Methods in Statistics\n\n\nAbstract\nWe study asymptotic behavior of the a
 veraged integrals of a Lévy-driven\nlinear process weighted by a complex 
 exponent of polynomials with real coefficients.\nSuch functionals naturall
 y arise in the problems relating to nonlinear regression\nanalysis and sig
 nal processing\, specifically in the estimation of parameters of\nfrequenc
 y-modulated signals.\n   Under some conditions on the Lévy process and ke
 rnel defining the linear process\,\nwe get a uniform strong law of large n
 umbers for this weighted process. More\nprecisely\, it is shown that the c
 onsidered integrals converge a.s. to zero uniformly\nover all the values o
 f the real coefficients of the polynomials of fixed order.\n   The result 
 obtained is then used to prove strong consistency of LSE for the\nparamete
 rs of linearly-modulated trigonometric signal (chirp signal) observed agai
 nst\nthe background of shot noise described above.\n\nThe results are join
 t with Prof. Dr. Alexander Ivanov (National Technical University of Ukrain
 e\n“Igor Sikorsky Kyiv Polytechnic Institute”).\n
LOCATION:https://researchseminars.org/talk/AMIS/2/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Doctor of Phys. and Math. Sc.\, Leading Researcher Sergiy Shklyar 
 (Institute of Geological Sciences NAS of Ukraine)
DTSTART:20260415T140000Z
DTEND:20260415T150000Z
DTSTAMP:20260421T121855Z
UID:AMIS/3
DESCRIPTION:Title: <a href="https://researchseminars.org/talk/AMIS/3/">Mul
 tiframe resolution enhancement in a frequency domain</a>\nby Doctor of Phy
 s. and Math. Sc.\, Leading Researcher Sergiy Shklyar (Institute of Geologi
 cal Sciences NAS of Ukraine) as part of Asymptotic Methods in Statistics\n
 \nAbstract: TBA\n
LOCATION:https://researchseminars.org/talk/AMIS/3/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Prof. Dr. Baran Sandor (University of Debrecen\, Hungary)
DTSTART:20260422T140000Z
DTEND:20260422T150000Z
DTSTAMP:20260421T121855Z
UID:AMIS/4
DESCRIPTION:Title: <a href="https://researchseminars.org/talk/AMIS/4/">Fai
 r Scores for Multivariate Gaussian Forecasts</a>\nby Prof. Dr. Baran Sando
 r (University of Debrecen\, Hungary) as part of Asymptotic Methods in Stat
 istics\n\nInteractive livestream: https://knu-ua.zoom.us/j/89643295643?pwd
 =eTBZZSt0d0thZzFyaUhDUFNGTVE3QT09  Passcode (if necessary) 785163\nAbstrac
 t: TBA\n
LOCATION:https://researchseminars.org/talk/AMIS/4/
URL:https://knu-ua.zoom.us/j/89643295643?pwd=eTBZZSt0d0thZzFyaUhDUFNGTVE3Q
 T09  Passcode (if necessary) 785163
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