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<ArticleSet>
<Article>
<Journal>
				<PublisherName>University of Tabriz</PublisherName>
				<JournalTitle>Computational Methods for Differential Equations</JournalTitle>
				<Issn>2345-3982</Issn>
				<Volume>12</Volume>
				<Issue>3</Issue>
				<PubDate PubStatus="epublish">
					<Year>2024</Year>
					<Month>05</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Wong-Zakai approximation of stochastic Volterra integral equations</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>484</FirstPage>
			<LastPage>501</LastPage>
			<ELocationID EIdType="pii">17331</ELocationID>
			
<ELocationID EIdType="doi">10.22034/cmde.2023.58696.2485</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Minoo</FirstName>
					<LastName>Kamrani</LastName>
<Affiliation>Department of Mathematics, Faculty of Science, Razi university, Kermanshah, Iran.</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2023</Year>
					<Month>10</Month>
					<Day>02</Day>
				</PubDate>
			</History>
		<Abstract>This study aims to investigate a stochastic Volterra integral equation driven by fractional Brownian motion with Hurst parameter $H\in (\frac 12, 1)$. We employ the Wong-Zakai approximation to simplify this intricate problem, transforming the stochastic integral equation into an ordinary integral equation. Moreover, we consider the convergence and the rate of convergence of the Wong-Zakai approximation for this kind of equation.</Abstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Wong-Zakai approximation</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">fractional Brownian motion</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Volterra integral equation</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://cmde.tabrizu.ac.ir/article_17331_14c412acb7215b0acb9dfbf8a110f38b.pdf</ArchiveCopySource>
</Article>
</ArticleSet>
