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Published in 2018 at "Journal of Mathematical Sciences"
DOI: 10.1007/s10958-018-3706-3
Abstract: The large deviation principle for moderate deviation probabilities of empirical measures for contiguous distributions is proved.
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Keywords:
probabilities moderate;
moderate deviations;
deviations empirical;
measures contiguous ... See more keywords
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Published in 2018 at "Frontiers of Mathematics in China"
DOI: 10.1007/s11464-018-0705-0
Abstract: We consider the Euler-Maruyama discretization of stochastic volatility model dSt = σtStdWt, dσt = ωσtdZt, t ∈ [0, T], which has been widely used in financial practice, where Wt,Zt, t ∈ [0, T], are two…
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Keywords:
stochastic volatility;
volatility;
moderate deviations;
euler maruyama ... See more keywords
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Published in 2019 at "Comptes Rendus Mathematique"
DOI: 10.1016/j.crma.2019.05.003
Abstract: Abstract We derive Cramer-type moderate deviations for stationary sequences of bounded random variables. Our results imply the moderate deviation principles and a Berry–Esseen bound. Applications to quantile coupling inequalities, functions of ϕ-mixing sequences, and contracting…
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Keywords:
bounded random;
moderate deviations;
deviations stationary;
stationary sequences ... See more keywords
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Published in 2017 at "Advances in Applied Probability"
DOI: 10.1017/apr.2017.31
Abstract: Abstract Subsolutions to the Hamilton–Jacobi–Bellman equation associated with a moderate deviations approximation are used to design importance sampling changes of measure for stochastic recursive equations. Analogous to what has been done for large deviations subsolution-based…
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Keywords:
stochastic recursive;
moderate deviations;
importance sampling;
based importance ... See more keywords
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Published in 2018 at "Communications in Statistics - Theory and Methods"
DOI: 10.1080/03610926.2018.1473429
Abstract: Abstract This paper mainly discusses the asymptotic properties of quantile regression processes. In view of the exponential tightness and convexity argument, we prove the quantile regression estimators satisfy the functional moderate deviation principle. This method…
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Keywords:
quantile regression;
regression;
regression processes;
deviations quantile ... See more keywords
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Published in 2018 at "Communications in Statistics - Theory and Methods"
DOI: 10.1080/03610926.2018.1543775
Abstract: Abstract In this paper, we investigate the moderate deviations for random weighted sums of widely upper orthant dependent (WUOD) random variables with consistently varying tails, which are not necessarily identically distributed. In the end, we…
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Keywords:
random variables;
deviations random;
weighted sums;
moderate deviations ... See more keywords
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Published in 2020 at "Transactions of the American Mathematical Society"
DOI: 10.1090/tran/8117
Abstract: The main contribution of this article is an asymptotic expression for the rate associated with moderate deviations of subgraph counts in the Erdős-Rényi random graph G ( n , m ) G(n,m) . Our approach…
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Keywords:
subgraph counts;
erd nyi;
moderate deviations;
nyi random ... See more keywords
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Published in 2018 at "IEEE Transactions on Information Theory"
DOI: 10.1109/tit.2017.2787183
Abstract: Motivated by streaming multi-view video coding and wireless sensor networks, we consider the problem of blockwise streaming compression of a pair of correlated sources, which we term streaming Slepian-Wolf coding. We study the moderate deviations…
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Keywords:
tex math;
moderate deviations;
streaming compression;
inline formula ... See more keywords
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Published in 2020 at "Stochastics and Dynamics"
DOI: 10.1142/s0219493721500271
Abstract: For the Ornstein–Uhlenbeck process in stationary and explosive cases, this paper studies Cramer-type moderate deviations for the log-likelihood ratio process. As an application, we give the negativ...
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Keywords:
uhlenbeck process;
moderate deviations;
likelihood ratio;
ornstein uhlenbeck ... See more keywords