Results 71 to 80 of about 44,758 (308)
Journal of Adolescence, EarlyView.ABSTRACT Introduction There is a growing interest in positive risk‐taking (PRT) during adolescence and young adulthood. Emerging evidence has documented positive associations of PRT with multiple positive adolescent socioemotional developmental outcomes, including prosocial behavior.
Weiyu Edith Chen, Hao Zheng, Yao Zheng
wiley +1 more source
Quantum annealing enhanced Markov-Chain Monte Carlo
Scientific ReportsIn this study, we propose quantum annealing-enhanced Markov Chain Monte Carlo (QAEMCMC), where QA is integrated into the MCMC subroutine. QA efficiently explores low-energy configurations and overcomes local minima, enabling the generation of proposal ...
Shunta Arai, Tadashi Kadowaki
doaj +1 more source
Remote SensingA full-waveform inversion (FWI) of ground-penetrating radar (GPR) data can be used to effectively obtain the parameters of a shallow subsurface. Introducing the Markov chain Monte Carlo (MCMC) algorithm into the FWI can reduce the dependence on the ...
Shengchao Wang, Xiangbo Gong, Liguo Han
doaj +1 more source
Monetary Policy Shocks and Exchange Rate Dynamics in Small Open Economies
Journal of Applied Econometrics, EarlyView.ABSTRACT This paper investigates whether the effects of monetary policy shocks on real exchange rates have changed over time and, if so, whether these changes stem from shifts in transmission mechanisms or from variation in the volatility of the shocks themselves.
Madison Terrell +3 more
wiley +1 more source
Communication-aware MCMC method for big data applications on FPGAs [PDF]
, 2017 © 2017 IEEE. Markov Chain Monte Carlo (MCMC) based methods have been the main tool for Bayesian Inference for some years now, and recently they find increasing applications in modern statistics and machine learning. Nevertheless, with the availability of
Christos-Savvas Bouganis +3 more
core +1 more source
On source identification method for sudden water pollution accidents
Shui kexue jinzhan, 2014 In order to solve the source identification problem of sudden water pollution accident accurately and quickly,a method based on the Differential Evolution and Markov Chain Monte Carlo (MCMC) is presented.
YANG Haidong +4 more
doaj +1 more source
Bayesian Model Averaging in Causal Instrumental Variable Models
Journal of Applied Econometrics, EarlyView.ABSTRACT Instrumental variables are a popular tool to infer causal effects under unobserved confounding, but choosing suitable instruments is challenging in practice. We propose gIVBMA, a Bayesian model averaging procedure that addresses this challenge by averaging across different sets of instrumental variables and covariates in a structural equation ...
Gregor Steiner, Mark Steel
wiley +1 more source
Phase randomisation: a convergence diagnostic test for MCMC
, 2005 Most MCMC users address the convergence problem by applying diagnostic tools to the output produced by running their samplers. Potentially useful diagnostics may be borrowed from diverse areas such as time series.
Wolff, Rodney C. +2 more
core +1 more source
Journal of Advances in Modeling Earth SystemsSoil biogeochemical models (SBMs) represent soil variables and their responses to global change. Data assimilation approaches help determine whether SBMs accurately represent soil processes consistent with soil pool and flux measurements.
H. W. Xie +4 more
doaj +1 more source
JCPP Advances, EarlyView.Abstract Background Adolescence is marked by increased vulnerability to sleep disturbances and mood disorders. Understanding how day‐to‐day changes in sleep and mood are linked within the same individual is crucial for clarifying sleep's role in emerging internalizing disorders. However, the extent to which an adolescent's fluctuations in sleep predict
Konstantin Drexl +4 more
wiley +1 more source