Results 101 to 110 of about 2,604,808 (287)

Technological Evolution in Fintech: A Decadal Scientometric and Systematic Review of Developments and Criticisms

International Journal of Finance &Economics, EarlyView.
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

Classical and Bayesian Estimation of Stress–Strength Reliability in the X-Lindley Distribution Under Progressive Censoring

IEEE Access
This study investigates the estimation of the stress-strength reliability measure, $\varsigma = P(X \lt Y)$ , assuming that both stress ( $X$ ) and strength ( $Y$ ) follow the new X-Lindley distribution.
Fatma Ciftci, L. S. Diab, Yunus Akdogan, Ibrahim Elbatal, Ahmed Z. Afify   +4 more
doaj   +1 more source

Industry Portfolio Volatility Connections and Industry Portfolio Returns

International Journal of Finance &Economics, EarlyView.
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, Michalis Stamatogiannis, Yawen Zheng   +2 more
wiley   +1 more source

Seriation in paleontological data using markov chain Monte Carlo methods.

PLoS Computational Biology, 2006
Given a collection of fossil sites with data about the taxa that occur in each site, the task in biochronology is to find good estimates for the ages or ordering of sites. We describe a full probabilistic model for fossil data.
Kai Puolamäki, Mikael Fortelius, Heikki Mannila   +2 more
doaj   +1 more source

IMPOSING CURVATURE RESTRICTIONS ON A TRANSLOG COST FUNCTION USING A MARKOV CHAIN MONTE CARLO SIMULATION APPROACH [PDF]

Using Kansas Farm data from 1973 to 1998, curvature restrictions are imposed on a translog cost function. Using uninformative priors with indicator functions representing distribution and inequality constraints, a Markov Chain Monte Carlo Simulation ...
Featherstone, Allen M., Mulik, Kranti, Marsh, Thomas L.   +2 more
core  

Risk factors for not proceeding to reconstructive surgery after female genital mutilation: A cohort study of 220 women in a specialized referral center

International Journal of Gynecology &Obstetrics, EarlyView.
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, Maëlle Silvestre De Sacy, Bruno Renevier, Sarah Abramowicz   +3 more
wiley   +1 more source

Automatic Parallel Tempering Markov Chain Monte Carlo with Nii-C

The Astrophysical Journal Supplement Series
Due to the high dimensionality or multimodality that is common in modern astronomy, sampling Bayesian posteriors can be challenging. Several publicly available codes based on different sampling algorithms can solve these complex models, but the execution
Sheng Jin, Wenxin Jiang, Dong-Hong Wu
doaj   +1 more source

Parallel hierarchical sampling:a general-purpose class of multiple-chains MCMC algorithms [PDF]

This paper introduces the Parallel Hierarchical Sampler (PHS), a class of Markov chain Monte Carlo algorithms using several interacting chains having the same target distribution but different mixing properties.
Antonietta Mira, Fabio Rigat
core  

Nonasymptotic bounds on the mean square error for MCMC estimates via renewal techniques [PDF]

, 2011
The Nummellin’s split chain construction allows to decompose a Markov chain Monte Carlo (MCMC) trajectory into i.i.d. "excursions". Regenerative MCMC algorithms based on this technique use a random number of samples.
Miasojedow, Błażej, Łatuszyński, Krzysztof, Niemiro, Wojciech   +2 more
core  

Rare vasculitis types and obstetric and neonatal outcomes – A population‐based study

International Journal of Gynecology &Obstetrics, EarlyView.
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, Ahmad Badeghiesh, Haitham Baghlaf, Richard Brown, Michael H. Dahan   +4 more
wiley   +1 more source