Results 141 to 150 of about 112,632 (333)

On the convergence rates of some adaptive Markov chain Monte Carlo algorithms [PDF]

, 2015
Yves F. Atchadé, Yizao Wang
openalex   +1 more source

An objective Bayesian method for including parameter uncertainty in ensemble model output statistics

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Conventional model output statistics and ensemble model output statistics methods for calibrating ensemble forecasts lead to severe underestimation of the probabilities of ensemble extremes (in blue). This is because they ignore statistical parameter uncertainty.
Stephen Jewson, Leonardo Olivetti, Gabriele Messori, Paul J. Northrop, Trevor Sweeting   +4 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

Practical Markov Chain Monte Carlo

, 1992
C. Geyer
semanticscholar   +1 more source

Markov chain Monte Carlo without likelihoods

Proceedings of the National Academy of Sciences of the United States of America, 2003
P. Marjoram, J. Molitor, V. Plagnol, S. Tavaré   +3 more
semanticscholar   +1 more source

Machine Learning‐Based Risk‐Adjusted CUSUM Control Chart for Monitoring Readmission Rate Following PTBD Catheter Placement

Quality and Reliability Engineering International, EarlyView.
ABSTRACT Percutaneous transhepatic biliary drainage (PTBD) catheter placement is known to have a high readmission rate. This work focuses on monitoring the change in readmission rate after a new clinical paradigm for post‐procedural care is implemented for the PTBD procedures.
Muhammed Aljifri, Yanjun Qian, Kunal Patel   +2 more
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

Health-Informed Uncertainty Quantifications via Bayesian Filters with Markov Chain Monte Carlo Simulations for Fatigue Critical Rotorcraft Components

, 2017
Michael Shiao, Anindya Ghoshal
openalex   +2 more sources

Assessing the Effects of Biodiesel Production on Sustainability: A Bayesian Two‐Stage Data Envelopment Analysis Approach

Sustainable Development, EarlyView.
ABSTRACT Sustainable development transforms production systems, requiring integrated environmental, social, and economic strategies. Energy systems are key agro‐industrial supply chains in developing countries. Brazil's soybean supply chain impacts Gross Domestic Product, mainly through exports.
Aline Veronese da Silva, Camila Veneo Campos Fonseca, Pedro Gerber Machado, Marcelo Azevedo Costa   +3 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