Results 41 to 50 of about 826,121 (282)

PENENTUAN NILAI KONTRAK OPSI TIPE BINARY PADA KOMODITS KAKAO MENGGUNAKAN METODE QUASI MONTE CARLO DENGAN BARISAN BILANGAN ACAK FAURE

E-Jurnal Matematika, 2017
Contract options are the most important part of an investment strategy. An option is a contract that entitles the owner or holder to sell an asset on a designated maturity date.
DEWA AYU AGUNG PUTRI RATNASARI, KOMANG DHARMAWAN, DESAK PUTU EKA NILAKUSMAWATI   +2 more
doaj   +1 more source

A survey of Monte Carlo methods for parameter estimation

EURASIP Journal on Advances in Signal Processing, 2020
Statistical signal processing applications usually require the estimation of some parameters of interest given a set of observed data. These estimates are typically obtained either by solving a multi-variate optimization problem, as in the maximum ...
David Luengo, Luca Martino, Mónica Bugallo, Víctor Elvira, Simo Särkkä   +4 more
doaj   +1 more source

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  

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

Functional Connectivity Linked to Cognitive Recovery After Minor Stroke

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Patients with minor stroke exhibit slowed processing speed and generalized alterations in functional connectivity involving frontoparietal cortex (FPC). The pattern of connectivity evolves over time. In this study, we examine the relationship of functional connectivity patterns to cognitive performance, to determine ...
Vrishab Commuri, Isabella Dallasta, Ciaran Stone, Sophia Girgenti, Neda Gould, Rafael H. Llinas, Jonathan Z. Simon, Elisabeth Breese Marsh   +7 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

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

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

Coupled Electron Ion Monte Carlo Calculations of Atomic Hydrogen [PDF]

, 2004
We present a new Monte Carlo method which couples Path Integral for finite temperature protons with Quantum Monte Carlo for ground state electrons, and we apply it to metallic hydrogen for pressures beyond molecular dissociation.
Ceperley, David M., Holzmann, Markus, Pierleoni, Carlo   +2 more
core   +1 more source