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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:20260421T153441Z
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/
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