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SUMMARY:Prof. Dr. Igor Mandel (NJ\, USA) & Prof.Dr. Stan Lipovetsky (MN\, 
 USA) (Retired)
DTSTART:20260402T040000Z
DTEND:20260402T050000Z
DTSTAMP:20260420T024849Z
UID:AMIS/1
DESCRIPTION:Title: <a href="https://stable.researchseminars.org/talk/AMIS/
 1/">Simulation-Based Insights and Novel Criteria for Linear Regression Mod
 eling</a>\nby Prof. Dr. Igor Mandel (NJ\, USA) & Prof.Dr. Stan Lipovetsky 
 (MN\, USA) (Retired) as part of Asymptotic Methods in Statistics\n\nAbstra
 ct: TBA\n\nAbstract: We study asymptotic behavior of the averaged integral
 s of a Lévy-driven\nlinear process weighted by a complex exponent of poly
 nomials with real coefficients.\nSuch functionals naturally arise in the p
 roblems relating to nonlinear regression\nanalysis and signal processing\,
  specifically in the estimation of parameters of\nfrequency-modulated sign
 als.\n   Under some conditions on the Lévy process and kernel defining th
 e linear process\,\nwe get a uniform strong law of large numbers for this 
 weighted process. More\nprecisely\, it is shown that the considered integr
 als converge a.s. to zero uniformly\nover all the values of the real coeff
 icients of the polynomials of fixed order.\n   The result obtained is then
  used to prove strong consistency of LSE for the\nparameters of linearly-m
 odulated trigonometric signal (chirp signal) observed against\nthe backgro
 und of shot noise described above.\n
LOCATION:https://stable.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:20260420T024849Z
UID:AMIS/2
DESCRIPTION:Title: <a href="https://stable.researchseminars.org/talk/AMIS/
 2/">On uniform Strong Law of Large Numbers for weighted shot noise and con
 sistency of the Least Squares Estimator of chirp signal parameters</a>\nby
  PhD student Viktor Hladun (National Technical University of Ukraine “Ig
 or Sikorsky Kyiv Polytechnic Institute”) (National Technical University 
 of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”) as part of Asym
 ptotic Methods in Statistics\n\n\nAbstract\nWe study asymptotic behavior o
 f the averaged integrals of a Lévy-driven\nlinear process weighted by a c
 omplex exponent of polynomials with real coefficients.\nSuch functionals n
 aturally arise in the problems relating to nonlinear regression\nanalysis 
 and signal processing\, specifically in the estimation of parameters of\nf
 requency-modulated signals.\n   Under some conditions on the Lévy process
  and kernel defining the linear process\,\nwe get a uniform strong law of 
 large numbers for this weighted process. More\nprecisely\, it is shown tha
 t the considered integrals converge a.s. to zero uniformly\nover all the v
 alues of the real coefficients of the polynomials of fixed order.\n   The 
 result obtained is then used to prove strong consistency of LSE for the\np
 arameters of linearly-modulated trigonometric signal (chirp signal) observ
 ed against\nthe background of shot noise described above.\n\nThe results a
 re joint with Prof. Dr. Alexander Ivanov (National Technical University of
  Ukraine\n“Igor Sikorsky Kyiv Polytechnic Institute”).\n
LOCATION:https://stable.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:20260420T024849Z
UID:AMIS/3
DESCRIPTION:Title: <a href="https://stable.researchseminars.org/talk/AMIS/
 3/">Multiframe resolution enhancement in a frequency domain</a>\nby Doctor
  of Phys. and Math. Sc.\, Leading Researcher Sergiy Shklyar (Institute of 
 Geological Sciences NAS of Ukraine) as part of Asymptotic Methods in Stati
 stics\n\nAbstract: TBA\n
LOCATION:https://stable.researchseminars.org/talk/AMIS/3/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Prof. Dr. Baran Sandor (University of Debrecen\, Hungary)
DTSTART:20260422T140000Z
DTEND:20260422T150000Z
DTSTAMP:20260420T024849Z
UID:AMIS/4
DESCRIPTION:Title: <a href="https://stable.researchseminars.org/talk/AMIS/
 4/">Fair Scores for Multivariate Gaussian Forecasts</a>\nby Prof. Dr. Bara
 n Sandor (University of Debrecen\, Hungary) as part of Asymptotic Methods 
 in Statistics\n\nInteractive livestream: https://knu-ua.zoom.us/j/89643295
 643?pwd=eTBZZSt0d0thZzFyaUhDUFNGTVE3QT09  Passcode (if necessary) 785163\n
 Abstract: TBA\n
LOCATION:https://stable.researchseminars.org/talk/AMIS/4/
URL:https://knu-ua.zoom.us/j/89643295643?pwd=eTBZZSt0d0thZzFyaUhDUFNGTVE3Q
 T09  Passcode (if necessary) 785163
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