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We introduce a class of iterated processes called $\alpha$-time Brownian motion for $0<\alpha \leq 2$. These are obtained by taking Brownian motion and replacing the time parameter with a symmetric $\alpha$-stable process. We prove a…

Probability · Mathematics 2007-05-23 Erkan Nane

The classical law of the iterated logarithm (LIL for short)as fundamental limit theorems in probability theory play an important role in the development of probability theory and its applications. Strassen (1964) extended LIL to large…

Probability · Mathematics 2021-07-02 Panyu Wu , Zengjing Chen

We give necessary and sufficient conditions for the (bounded) law of the iterated logarithm for $U$-statistics in Hilbert spaces. As a tool we also develop moment and tail estimates for canonical Hilbert-space valued $U$-statistics of…

Probability · Mathematics 2015-01-06 Radosław Adamczak , Rafał Latała

We study the law of the iterated logarithm (LIL) for the maximum likelihood estimation of the parameters (as a convex optimization problem) in the generalized linear models with independent or weakly dependent ($\rho$-mixing, $m$-dependent)…

Statistics Theory · Mathematics 2020-04-28 Xiaowei Yang , Shuang Song , Huiming Zhang

We establish a law of the iterated logarithm (LIL) for the set of real numbers whose $n$-th partial quotient is bigger than $\alpha_n$, where $(\alpha_n)$ is a sequence such that $\sum 1/\alpha_n$ is finite. This set is shown to have…

Dynamical Systems · Mathematics 2024-03-28 Manuel Stadlbauer , Xuan Zhang

We derive general results on the small deviation behavior for some classes of iterated processes. This allows us, in particular, to calculate the rate of the small deviations for $n$-iterated Brownian motions and, more generally, for the…

Probability · Mathematics 2010-06-22 Frank Aurzada , Mikhail Lifshits

There has been recent interest in the conditional central limit question for (strictly) stationary, ergodic processes $...,X_{-1},X_0,X_1,...$ whose partial sums $S_n=X_1+...+X_n$ are of the form $S_n=M_n+R_n$, where $M_n$ is a square…

Probability · Mathematics 2008-01-03 Ou Zhao , Michael Woodroofe

In this paper, we discuss the laws of the iterated logarithm (LIL) for occupation times of Markov processes $Y$ in general metric measure space both near zero and near infinity under some minimal assumptions. We first establish LILs of…

Probability · Mathematics 2022-11-15 Soobin Cho , Panki Kim , Jaehun Lee

We prove a general functional limit theorem for multiparameter fractional Brownian motion. The functional law of the iterated logarithm, functional L\'{e}vy's modulus of continuity and many other results are its particular cases.…

Probability · Mathematics 2013-11-18 Anatoliy Malyarenko

Let $X=\{X(t), t\geq 0\}$ be a Brownian motion or a spectrally negative stable process of index $1<\a<2$. Let $E=\{E(t),t\geq 0\}$ be the hitting time of a stable subordinator of index $0<\beta<1$ independent of $X$. We use a connection…

Probability · Mathematics 2009-11-09 Erkan Nane

Continuing from arXiv:2102.01917v2, in this paper, we discuss general criteria and forms of liminf laws of iterated logarithm (LIL) for continuous-time Markov processes. Under some minimal assumptions, which are weaker than those in…

Probability · Mathematics 2022-10-11 Soobin Cho , Panki Kim , Jaehun Lee

By taking a functional analytic point of view, we consider a family of distributions (continuous linear functionals on smooth functions), denoted by $\{\mu_t,t>0\}$, associated to the law of iterated logarithm for Brownian motion on a…

Probability · Mathematics 2016-09-01 Cheng Ouyang , Jennifer Pajda-De La O

In this paper, we give an approximate formula for the measure of extreme values for the logarithm of the Riemann zeta-function and its iterated integrals. The result recovers the unconditional best result for the $\Omega$-result of…

Number Theory · Mathematics 2020-09-10 Shōta Inoue

In this paper, we first establish a strong approximation version for the first order limit theorem of some additive functionals related to two non-Markovian Gaussian processes: the fractional Brownian motion (fBm) and the Riemann-Liouville…

Probability · Mathematics 2023-02-13 Mohamed Ait Ouahra , Abderrahim Aslimani , Mhamed Eddahbi , Mohamed Mellouk

This paper explores the Law of the Iterated Logarithm (LIL) for $m$-dependent sequences under the framework of sub-linear expectations. We first extend existing LIL results to sequences of independent, non-identically distributed random…

Probability · Mathematics 2025-06-13 Wang-Yun Gu , Li-Xin Zhang

In an attempt to look for the root of nonstandard Lagrangians in the theories of the inverse variational problem we introduce a logarithmic Lagrangian (LL) in addition to the so-called reciprocal Lagrangian (RL) that exists in the…

Exactly Solvable and Integrable Systems · Physics 2013-01-15 Aparna Saha , Benoy Talukdar

The logarithmic correction for the order of the maximum for two-speed branching Brownian motion changes discontinuously when approaching slopes $\sigma_1^2=\sigma_2^2=1$ which corresponds to standard branching Brownian motion. In this…

Probability · Mathematics 2019-05-21 Anton Bovier , Lisa Hartung

We prove a law of the iterated logarithm (LIL) for an infinite sum of independent indicators parameterized by $t$ as $t\to\infty$. It is shown that if the expectation $b$ and the variance $a$ of the sum are comparable, then the…

Probability · Mathematics 2025-03-04 Dariusz Buraczewski , Alexander Iksanov , Valeriya Kotelnikova

We analyze almost sure asymptotic behavior of extreme values of a regenerative process. We show that under certain conditions a properly centered and normalized running maximum of a regenerative process satisfies a law of the iterated…

Probability · Mathematics 2020-03-30 Alexander Marynych , Ivan Matsak

We prove Chung-type laws of the iterated logarithm for general L\'{e}vy processes at zero. In particular, we provide tools to translate small deviation estimates directly into laws of the iterated logarithm. This reveals laws of the…

Probability · Mathematics 2013-02-21 Frank Aurzada , Leif Doering , Mladen Savov
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