Results 41 to 50 of about 6,699 (113)
Lattice Gaussian Sampling by Markov Chain Monte Carlo: Bounded Distance Decoding and Trapdoor Sampling [PDF]
, 2018 Sampling from the lattice Gaussian distribution plays an important role in various research fields. In this paper, the Markov chain Monte Carlo (MCMC)-based sampling technique is advanced in several fronts.
Ling, Cong, Wang, Zheng
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A practical guide to characterising ecological coexistence
Biological Reviews, Volume 101, Issue 1, Page 195-220, February 2026.ABSTRACT Coexistence is simultaneously one of the most fundamental concepts of ecology, and one of the most difficult to define. A particular challenge is that, despite a well‐developed body of research, several different schools of thought have developed over the past century, leading to multiple independent, and largely isolated, branches of ...
Adam T. Clark +9 more
wiley +1 more source
Small-world MCMC and convergence to multi-modal distributions: From slow mixing to fast mixing
, 2007 We compare convergence rates of Metropolis--Hastings chains to multi-modal target distributions when the proposal distributions can be of ``local'' and ``small world'' type.
Guan, Yongtao, Krone, Stephen M.
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Changes in expectation impact multiple steps of the visual perceptual decision process in adults
Physiological Reports, Volume 14, Issue 3, February 2026.Abstract Perceptual decision‐making processes, particularly in the context of eye movements and reaction times (RT), have been studied to better understand how the brain integrates and responds to sensory information. Recent models have decomposed the process into multiple intermediate steps, including detection, instruction processing, decision, and ...
Julien Audiffren +2 more
wiley +1 more source
Orlicz integrability of additive functionals of Harris ergodic Markov chains [PDF]
, 2012 For a Harris ergodic Markov chain $(X_n)_{n\ge 0}$, on a general state space, started from the so called small measure or from the stationary distribution we provide optimal estimates for Orlicz norms of sums $\sum_{i=0}^\tau f(X_i)$, where $\tau$ is the
Adamczak, Radosław, Bednorz, Witold
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Proof of the Boltzmann-Sinai Ergodic Hypothesis for Typical Hard Disk Systems
, 2003 We consider the system of $N$ ($\ge2$) hard disks of masses $m_1,...,m_N$ and radius $r$ in the flat unit torus $\Bbb T^2$. We prove the ergodicity (actually, the B-mixing property) of such systems for almost every selection $(m_1,...,m_N;r)$ of the ...
Bunimovich +33 more
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Advanced Science, Volume 13, Issue 6, 30 January 2026.A high‐entropy ferroelectric‐ferroelastic hybrid perovskite material is successfully developed, in which a unique hybrid architecture, ferroelastic microdomainsembedded with randomly dispersed polar nanoregions, endows the ceramic with polar heterogeneity as well as lowered polarization hysteresis, delayed saturation polarization and enhanced breakdown
Xuefan Zhou +6 more
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Quantum Jumps in Amplitude Bistability: Tracking a Coherent and Invertible State Localization
Annalen der Physik, Volume 538, Issue 1, January 2026.A notable asymmetry is shown to characterize the bistable switching between macroscopic metastable states of light in the strong‐coupling limit of radiation–matter interaction. Transitions from the vacuum to a highly excited state correlate with a highly bunched sequence of emitted photons, while a downward switch to the vacuum involves a coherent ...
Th. K. Mavrogordatos
wiley +1 more source
Particle Gibbs with Ancestor Sampling
, 2014 Particle Markov chain Monte Carlo (PMCMC) is a systematic way of combining the two main tools used for Monte Carlo statistical inference: sequential Monte Carlo (SMC) and Markov chain Monte Carlo (MCMC).
Jordan, Michael I. +2 more
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PAC-Bayes Bounds on Variational Tempered Posteriors for Markov Models. [PDF]
Entropy (Basel), 2021 Banerjee I, Rao VA, Honnappa H.
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