A general Markov chain approach for disease and rumour spreading in complex networks
Guilherme Ferraz de Arruda +4 more
openalex +1 more source
An objective Bayesian method for including parameter uncertainty in ensemble model output statistics
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 +4 more
wiley +1 more source
Mathematical Analysis for a Class of Stochastic Copolymerization Processes. [PDF]
Anderson DF, Ma J, Gagrani P.
europepmc +1 more source
Bivariate postprocessing of wind vectors
We introduce three novel bivariate postprocessing approaches and analyze their performance for joint postprocessing of bivariate wind‐vector components in Germany. Bivariate vine‐copula‐based models, a bivariate gradient‐boosted version of ensemble model output statistics (EMOS), and a bivariate distributional regression network (DRN) are compared with
Ferdinand Buchner +3 more
wiley +1 more source
Bayesian inference for integrated pharmacokinetic modelling of mitragynine and 7-hydroxymitragynine. [PDF]
Notario D +4 more
europepmc +1 more source
Adaptive CUSUM Chart for Simultaneous Monitoring of Mean and Variance
ABSTRACT Simultaneously monitoring changes in both the mean and variance is a fundamental problem in statistical process control, and numerous methods have been developed to address it. However, many existing approaches face notable limitations: Some rely on tuning parameters that can significantly affect performance; others are biased toward detecting
Gokul Parakulum, Jun Li
wiley +1 more source
Ergodicity and regime recoverability in finite Markov-modulated random walks. [PDF]
Pambukyan A, Saudagar AKJ, Kumar S.
europepmc +1 more source
A contraction theorem for Markov chains on general state spaces
Thomas Kaijser
openalex +1 more source
Incorporating environmental DNA metabarcoding for improved benthic biodiversity and habitat mapping
Seafloor imagery is commonly used to collect information about the distribution of benthic organisms in order to generate habitat and biodiversity maps. Recent advances in genomics (e.g., environmental DNA; eDNA) show potential to complement video surveys for habitat mapping, but there have been few examples testing this.
Rylan J. Command +8 more
wiley +1 more source
Study on the spatiotemporal evolution characteristics and simulation prediction of urban metabolic efficiency in China's urban agglomerations. [PDF]
Wang W, Li H.
europepmc +1 more source

