Results 81 to 90 of about 85,479 (297)
CLTs and asymptotic variance of time-sampled Markov chains [PDF]
For a Markov transition kernel P and a probability distribution μ on nonnegative integers, a time-sampled Markov chain evolves according to the transition kernel Pμ = Σkμ(k)Pk.
Łatuszyński, Krzysztof +3 more
core +1 more source
ABSTRACT This study aims to classify pivotal fintech innovations and explore the prospects and pitfalls associated with emerging fintech services extensively discussed in the literature. We conducted a multistage systematic review of research published on fintech over the past decade from a technological perspective. Using the Preferred Reporting Items
Muhammad Imran Qureshi, Nohman Khan
wiley +1 more source
Perceptual multistability as Markov Chain Monte Carlo inference [PDF]
While many perceptual and cognitive phenomena are well described in terms of Bayesian inference, the necessary computations are intractable at the scale of real-world tasks, and it remains unclear how the human mind approximates Bayesian computations ...
Tenenbaum, Joshua B +2 more
core
WinBUGS for population ecologists: Bayesian modeling using Markov Chain Monte Carlo methods. [PDF]
This paper was presented at the EURING 2007 Technical Meeting, January 14-21, Dunedin, New Zealand. It has been submitted for publication in the conference proceedings, which will appear as a special issue of Environmental and Ecological Statistics.The ...
Grosbois, V +26 more
core +1 more source
Industry Portfolio Volatility Connections and Industry Portfolio Returns
ABSTRACT This paper tracks dynamic connections that form among daily US industry portfolio return volatilities using a Bayesian time‐varying parameter VAR model. Market participants often focus on sectors to filter vast amounts of information, and this focus results in cross‐industry return predictability. We characterise connections that form over the
Michael Ellington +2 more
wiley +1 more source
Schedules of lectures and Monte Carlo method
In this paper the problem of the construction of schedule of lectures is considered. The Markov chain Monte Carlo method is used. A particular program based on simulated annealing algorithm was created.
Nikolaj Grigorjev +1 more
doaj +1 more source
Quantitative non-geometric convergence bounds for independence samplers [PDF]
Markov chain Monte Carlo (MCMC) algorithms are widely used in statistics, physics, and computer science, to sample from complicated high-dimensional probability distributions.
Rosenthal, Jeffrey S. (Jeffrey Seth) +1 more
core
Abstract Objective This study identifies factors associated with not proceeding to clitoral reconstructive surgery among women with female genital mutilation (FGM) enrolled in a specialized surgical pathway. Methods A retrospective cohort study was conducted at a multidisciplinary referral center in Montreuil, France, between January 2021 and December ...
Félicia Joinau‐Zoulovits +3 more
wiley +1 more source
A Bayesian model for binary Markov chains
This note is concerned with Bayesian estimation of the transition probabilities of a binary Markov chain observed from heterogeneous individuals. The model is founded on the Jeffreys' prior which allows for transition probabilities to be correlated.
Souad Assoudou, Belkheir Essebbar
doaj +1 more source
Rare vasculitis types and obstetric and neonatal outcomes – A population‐based study
Abstract Objective Vasculitis is an infrequent pathology among reproductive‐aged women. While data exists regarding pregnancy outcomes in the more common vasculitis subtypes, data is limited regarding these outcomes in rare vasculitis subtypes. We aimed to compare pregnancy and perinatal outcomes between women who suffered from rare types of vasculitis
Uri Amikam +4 more
wiley +1 more source

