Results 51 to 60 of about 831,537 (291)

Nested Sequential Monte Carlo Methods [PDF]

, 2015
We propose nested sequential Monte Carlo (NSMC), a methodology to sample from sequences of probability distributions, even where the random variables are high-dimensional.
Lindsten, Fredrik, Naesseth, Christian A., Schön, Thomas B.   +2 more
core  

Multilevel coarse graining and nano--pattern discovery in many particle stochastic systems [PDF]

, 2011
In this work we propose a hierarchy of Monte Carlo methods for sampling equilibrium properties of stochastic lattice systems with competing short and long range interactions.
Are, Ceperley, Chatterjee, Chatterjee, Dai, DeMassi, Diaconis, Dionisios G. Vlachos, Duane, Efendiev, Evangelia Kalligiannaki, Goldenfeld, Harmandaris, Hastings, Kalligiannaki, Kardar, Katsoulakis, Katsoulakis, Katsoulakis, Katsoulakis, Katsoulakis, Katsoulakis, Katsoulakis, Katsoulakis, Liggett, Liu, Markos A. Katsoulakis, Metropolis, Müller-Plathe, Neal, Parker, Petr Plecháč, Reese, Robert, Tschöp   +34 more
core   +2 more sources

Exon 7 splicing of ERα predicts poor prognosis and increases phenotypic heterogeneity in luminal a subtype breast cancer

FEBS Open Bio, EarlyView.
ERα splice variant ERα∆7 lacks the C‐terminus, and its expression may change phenotypes of breast cancers. Our results showed that ERα∆7 is found in the luminal A subtype, and elevated ERα∆7 levels are linked to improved cell survival with lower proliferation and migration.
Long Wai Tsui, Taobo Hu, Thomson Christian Husein, Wai Hei Shek, Bingrong Chen, Depeng Wang, Shu Wang, Weichuan Yu, Xiaodan Fan, Mengping Long, Toyotaka Ishibashi   +10 more
wiley   +1 more source

Monte Carlo Analysis: An Application to Aircraft Design and Crash

Aerospace, 2021
The current study investigates the application of statistical methods to flight, which have been used in science over time to understand complex physical and mathematical systems by using randomly generated numbers as input into those systems to generate
Emre Soydemir, Panagiotis Petratos
doaj   +1 more source

Unraveling the Molecular Mechanisms of Glioma Recurrence: A Study Integrating Single‐Cell and Spatial Transcriptomics

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Glioma recurrence severely impacts patient prognosis, with current treatments showing limited efficacy. Traditional methods struggle to analyze recurrence mechanisms due to challenges in assessing tumor heterogeneity, spatial dynamics, and gene networks.
Lei Qiu, Yinjiao Fei, Jiaxuan Ding, Kexin Shi, Jinyan Luo, Yuchen Zhu, Xingjian Sun, Gefei Jiang, Yuandong Cao, Weilin Xu, Shu Zhou   +10 more
wiley   +1 more source

Modeling of lactose enzymatic hydrolysis using Monte Carlo method

Electronic Journal of Biotechnology, 2019
Background: Mathematical modeling is useful in the analysis, prediction, and optimization of an enzymatic process. Unlike the conventional modeling methods, Monte Carlo method has special advantages in providing representations of the molecule’s spatial ...
Ling Gao, Qingqing Guo, Huibin Lin, Deng Pan, Xiaodong Huang, Jianqun Lin, Jianqiang Lin   +6 more
doaj   +1 more source

Monte Carlo methods in PageRank computation: When one iteration is sufficient [PDF]

, 2005
PageRank is one of the principle criteria according to which Google ranks Web pages. PageRank can be interpreted as a frequency of visiting a Web page by a random surfer and thus it reflects the popularity of a Web page.
Avrachenkov, K., Litvak, N., Nemirovsky, D., Osipova, N.   +3 more
core   +1 more source

Simulation and the Monte Carlo Method [PDF]

, 2007
Simulation and the Monte Carlo Method, Third Edition reflects the latest developments in the field and presents a fully updated and comprehensive account of the state-of-the-art theory, methods and applications that have emerged in Monte Carlo simulation since the publication of the classic First Edition over more than a quarter of a century ago. While
Rubinstein, Reuven Y., Kroese, Dirk P.
openaire   +6 more sources

Understanding Further the Phenotypic Spectrum of Central Nervous System Inflammatory Demyelinating Disorders Using Unsupervised Clustering

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Central nervous system (CNS) inflammatory demyelinating syndromes, including multiple sclerosis (MS), aquaporin‐4 antibody–positive neuromyelitis optica spectrum disorder (AQP4 + NMOSD), and myelin oligodendrocyte glycoprotein (MOG) antibody–associated disease (MOGAD), occasionally overlap.
Bade Gulec, Elif Everest, Melih Tutuncu, Ugur Bilge, Sabahattin Saip, Ugur Uygunoglu, Aksel Siva   +6 more
wiley   +1 more source

First and second generation lookback and barrier options: enhancing pricing accuracy through Conditional Monte Carlo [PDF]

Risk Management Magazine
This paper addresses the challenges associated with pricing exotic options, specifically path-dependent ones, with a focus on the limitations of standard Monte Carlo simulations and the advantages provided by Conditional Monte Carlo methods, introduced
Pier Giuseppe Giribone, Federico Tropiano   +1 more
doaj   +1 more source