Results 151 to 160 of about 2,604,808 (287)

Evolutionary Markov Chain Monte Carlo

, 2004
Madalina M. Drugan, Dirk Thierens
openaire   +4 more sources

SMCTC: Sequential Monte Carlo in C++ [PDF]

Sequential Monte Carlo methods are a very general class of Monte Carlo methods for sampling from sequences of distributions. Simple examples of these algorithms are used very widely in the tracking and signal processing literature.
Adam M. Johansen
core  

Brown–Proschan Repair Policy for Repairable Systems Using the Discrete Weibull Failure Distribution and Markov Chains

Quality and Reliability Engineering International, EarlyView.
ABSTRACT A repairable system operates under a maintenance strategy involving scheduled preventive maintenance (PM) and corrective repair actions following failures. This study develops an exact analytical methodology using Markov chains with discrete states and time to calculate the expected number of failures E[N(t)]$\mathop {\mathbb {E}}[N(t)]$ under
Danilo G. O. Valadares, Roberto C. Quinino, Linda L. Ho, Frederico R. B. Cruz   +3 more
wiley   +1 more source

A Markov Chain Monte Carlo (MCMC) Multivariate Analysis of the Association of Vital Parameter Variation With the Lunar Cycle in Patients Hospitalized With COVID-19. [PDF]

Cureus, 2023
Koya S, Ponnam S, Salenius S, Pamidighantam S.   +3 more
europepmc   +1 more source

A Rank‐Based CUSUM Monitoring Scheme for Time Between Events and Amplitude Data

Quality and Reliability Engineering International, EarlyView.
ABSTRACT Monitoring time between events and amplitude (TBEA) data is critical in many applications, particularly in manufacturing, reliability engineering, and service operations. Yet, most existing TBEA control charts focus on a single quality characteristic and are typically developed under restrictive distributional assumptions.
Muhammad Arslan, Ali Yeganeh, Fatemeh Sogandi, Jean‐Claude Malela‐Majika, Fernanda Otilia Figueiredo, Aisha Iqbal   +5 more
wiley   +1 more source

Markov chain Monte Carlo methods for hierarchical clustering of dynamic causal models. [PDF]

Hum Brain Mapp, 2021
Yao Y, Stephan KE.
europepmc   +1 more source

Energy Dependence, Energy Import Diversification, and Institutional Quality: Heterogeneous Impacts on Sustainable Economic Development in the European Union

Sustainable Development, EarlyView.
ABSTRACT Energy dependence poses significant risks for economic development, particularly in regions that rely heavily on imported fossil fuels. This paper examines how energy dependence and energy import diversification influence economic development across 27 European Union countries between 2000 and 2022. Using IV‐GMM and panel quantile regressions,
Mehmet Pinar
wiley   +1 more source

From Resilience to “Susilience”: Toward Further Theoretical Perspectives in Sustainable Supply Chains

Sustainable Development, EarlyView.
ABSTRACT The increasing exposure of global supply chains to environmental, social, and operational disruptions has intensified scholarly interest in sustainability and resilience. While these concepts are widely discussed, existing research often addresses them separately, preventing understanding of their combined role in supply chain management.
Mahmut Mollaoglu, Bükra Doganer
wiley   +1 more source

Bayesian Markov Chain Monte Carlo for reparameterized Stochastic volatility models using Asian FX rates during Covid-19. [PDF]

J Appl Stat, 2023
Poonvoralak W.
europepmc   +1 more source

Nitrogen Policy for Sustainable Agriculture in the US: Estimating Socially Optimal Application Rates and Economic Impacts

Sustainable Development, EarlyView.
ABSTRACT Nitrogen (N) application creates negative externalities via nitrate (NO3−) leaching that threatens human health and the emission of nitrous oxide (N2O), a potent greenhouse gas. This study determines socially optimal nitrogen application rates (SONR) for corn and wheat by considering the social costs of both pollutants. The assessment includes
Riza Radmehr, B. Wade Brorsen
wiley   +1 more source