Results 71 to 80 of about 167,396 (260)
Credit risk clustering in a business group: Which matters more, systematic or idiosyncratic risk?
Cogent Economics & Finance, 2019 Understanding how defaults correlate across firms is a persistent concern in risk management. In this paper, we apply covariate-dependent copula models to assess the dynamic nature of credit risk dependence, which we define as “credit risk clustering ...
Feng Li, Zhuojing He
doaj +1 more source
A hybrid adaptive MCMC algorithm in function spaces
, 2016 The preconditioned Crank-Nicolson (pCN) method is a Markov Chain Monte Carlo (MCMC) scheme, specifically designed to perform Bayesian inferences in function spaces. Unlike many standard MCMC algorithms, the pCN method can preserve the sampling efficiency
Hu, Zixi +3 more
core +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
Bayesian parameter inference by Markov chain Monte Carlo with hybrid fitness measures: theory and test in apoptosis signal transduction network. [PDF]
PLoS ONE, 2013 When model parameters in systems biology are not available from experiments, they need to be inferred so that the resulting simulation reproduces the experimentally known phenomena. For the purpose, Bayesian statistics with Markov chain Monte Carlo (MCMC)
Yohei Murakami, Shoji Takada
doaj +1 more source
Lattice Gaussian Sampling by Markov Chain Monte Carlo: Bounded Distance Decoding and Trapdoor Sampling [PDF]
, 2018 Sampling from the lattice Gaussian distribution plays an important role in various research fields. In this paper, the Markov chain Monte Carlo (MCMC)-based sampling technique is advanced in several fronts.
Ling, Cong, Wang, Zheng
core +1 more source
Adaptive MCMC with online relabeling
, 2015 When targeting a distribution that is artificially invariant under some permutations, Markov chain Monte Carlo (MCMC) algorithms face the label-switching problem, rendering marginal inference particularly cumbersome. Such a situation arises, for example,
Bardenet, Rémi +3 more
core +3 more sources
Journal of Organizational Behavior, EarlyView.ABSTRACT Research on the effects of servant leadership on firm success has yielded inconsistent results. Connecting servant leadership theory to achievement goal theory, we theorize that servant leadership exerts both beneficial and detrimental effects on firms by shaping two distinct motivational climates: mastery climate and performance climate ...
Therese Egeland +3 more
wiley +1 more source
Why Bayesian Ideas Should Be Introduced in the Statistics Curricula and How to Do So
Journal of Statistics Education, 2020 While computing has become an important part of the statistics field, course offerings are still influenced by a legacy of mathematically centric thinking.
Andrew Hoegh
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Journal of the Science of Food and Agriculture, EarlyView.Abstract BACKGROUND Narrow‐leaved lupins (NLL, Lupinus angustifolius L.) is recognized as a climate‐resilient protein crop but its use in food and feed is frequently limited by toxic quinolizidine alkaloids (QAs). The effect of intercropping with spring oat (Avena sativa L.) on grain QA content has not yet been quantified.
Yannik Schlup +5 more
wiley +1 more source
Journal of the Science of Food and Agriculture, EarlyView.Abstract BACKGROUND Bread wheat (Triticum aestivum L.) is a major global food crop, and understanding its maternal lineage and genetic diversity is essential for breeding, authentication, and evolutionary studies. Chloroplast genomes provide valuable markers for phylogenetic inference and cultivar discrimination; however, conventional plant DNA ...
Kang‐Rae Kim +6 more
wiley +1 more source