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In this paper, we discuss general criteria of limsup law of iterated logarithm (LIL) for continuous-time Markov processes. We consider minimal assumptions for LILs to hold at zero(at infinity, respectively) in general metric measure spaces.…

概率论 · 数学 2023-06-13 Soobin Cho , Panki Kim , Jaehun Lee

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…

概率论 · 数学 2022-10-11 Soobin Cho , Panki Kim , Jaehun Lee

We consider symmetric processes of pure jump type. We prove local estimates on the probability of exiting balls, the H\"older continuity of harmonic functions and of heat kernels, and convergence of a sequence of such processes.

概率论 · 数学 2008-03-24 Richard F. Bass , Moritz Kassmann , Takashi Kumagai

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)…

统计理论 · 数学 2020-04-28 Xiaowei Yang , Shuang Song , Huiming Zhang

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…

概率论 · 数学 2022-11-15 Soobin Cho , Panki Kim , Jaehun Lee

We derive laws of the iterated logarithm for random walks on random conductance models under the assumption that the random walks enjoy long time sub-Gaussian heat kernel estimates.

概率论 · 数学 2016-05-04 Takashi Kumagai , Chikara Nakamura

The law of the iterated logarithm (LIL) for the time-homogeneous Markov process with a unique invariant measure characterizes the almost sure maximum possible fluctuation of time averages around the ergodic limit. Whether a numerical…

数值分析 · 数学 2025-11-10 Chuchu Chen , Xinyu Chen , Jialin Hong

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…

概率论 · 数学 2013-02-21 Frank Aurzada , Leif Doering , Mladen Savov

We present sufficient conditions, in terms of the jumping kernels, for two large classes of conservative Markov processes of pure-jump type to be purely discontinuous martingales with finite second moment. As an application, we establish…

概率论 · 数学 2020-09-01 Yuichi Shiozawa , Jian Wang

In this paper, we consider symmetric jump processes of mixed-type on metric measure spaces under general volume doubling condition, and establish stability of two-sided heat kernel estimates and heat kernel upper bounds. We obtain their…

概率论 · 数学 2017-09-25 Zhen-Qing Chen , Takashi Kumagai , Jian Wang

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…

概率论 · 数学 2025-06-13 Wang-Yun Gu , Li-Xin Zhang

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…

概率论 · 数学 2015-01-06 Radosław Adamczak , Rafał Latała

We consider a class of jump processes in euclidean space which are associated to a certain non-local symmetric Dirichlet form. We prove a lower bound on the occupation times of sets, and that a support theorem holds for these processes.

概率论 · 数学 2012-03-01 Brian Whitehead

In this paper, we study the transition densities of pure-jump symmetric Markov processes in $ {{\mathbb R}}^d$, whose jumping kernels are comparable to radially symmetric functions with mixed polynomial growths. Under some mild assumptions…

概率论 · 数学 2018-04-20 Joohak Bae , Jaehoon Kang , Panki Kim , Jaehun Lee

Let $\{(X_t)_{t\geq 0}, \mathbb{P}_{\delta_x}, x\in E\}$ be a supercritical branching Markov process (which is not necessary symmetric) on a locally compact metric measure space $(E,\mu)$ with spatially dependent local branching mechanism.…

概率论 · 数学 2025-12-12 Haojie Hou , Yan-Xia Ren , Renming Song

Following the works of Berthet (1997), we first obtain exact clustering rates in the functional law of the iterated logarithm for the uniform empirical and quantile processes and for their increments. In a second time, we obtain functional…

统计理论 · 数学 2012-01-27 Davit Varron

After establishing the moderate deviation principle by the Classical Azencott method, we prove the Strassen's compact law of the iterated logarithm (LIL) for a class of stochastic partial differential equations (SPDEs). As an application,…

概率论 · 数学 2020-07-14 Parisa Fatheddin

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…

概率论 · 数学 2025-03-04 Dariusz Buraczewski , Alexander Iksanov , Valeriya Kotelnikova

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…

概率论 · 数学 2008-01-03 Ou Zhao , Michael Woodroofe

Let $Y$ be a symmetric Borel right process with locally compact state space $T\subseteq R^{1}$ and potential densities $u(x,y)$ with respect to some $\sigma$-finite measure on $T$. Let $g$ and $f$ be finite excessive functions for $ Y$. Set…

概率论 · 数学 2023-02-22 Michael B. Marcus , Jay Rosen
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