Results 31 to 40 of about 3,604,166 (239)
Mixed mode oscillations in a conceptual climate model [PDF]
Much work has been done on relaxation oscillations and other simple oscillators in conceptual climate models. However, the oscillatory patterns in climate data are often more complicated than what can be described by such mechanisms.
Jones, Chris K. R. T. +3 more
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Posterior-based proposals for speeding up Markov chain Monte Carlo [PDF]
Markov chain Monte Carlo (MCMC) is widely used for Bayesian inference in models of complex systems. Performance, however, is often unsatisfactory in models with many latent variables due to so-called poor mixing, necessitating the development of ...
C. M. Pooley +3 more
doaj +1 more source
Movement Patterns and Match Statistics in the National Rugby League Women's (NRLW) Premiership
As women's rugby league grows, the need for understanding the movement patterns of the sport is essential for coaches and sports scientists. The aims of the present study were to quantify the position-specific demographics, technical match statistics ...
Tim Newans +7 more
doaj +1 more source
The problems with the $Z_N$ symmetry breaking in the induced QCD are analyzed. We compute the Wilson loops in the strong coupling phase, but we do not find the $Z_N$ symmetry breaking, for arbitrary potential.
Migdal, A. A.
core +2 more sources
The author studies system lifetimes that are associated with a cumulative shock model as follows: The system fails when the cumulative damage exceeds some threshold, or when a single large shock occurs. \textit{H. Li} and the reviewer [Stochastic Processes Appl. 58, No. 2, 205-216 (1995; Zbl 0833.60088); Appl. Probab. 34, No.
openaire +2 more sources
Sparse Probit Linear Mixed Model
Linear Mixed Models (LMMs) are important tools in statistical genetics. When used for feature selection, they allow to find a sparse set of genetic traits that best predict a continuous phenotype of interest, while simultaneously correcting for various ...
Cunningham, John P. +5 more
core +1 more source
A Bayesian semiparametric latent variable model for mixed responses [PDF]
In this article we introduce a latent variable model (LVM) for mixed ordinal and continuous responses, where covariate effects on the continuous latent variables are modelled through a flexible semiparametric predictor. We extend existing LVM with simple
Fahrmeir, Ludwig, Raach, Alexander
core +4 more sources
Models of neutrino masses and mixings
We review theoretical ideas, problems and implications of neutrino masses and mixing angles. We give a general discussion of schemes with three light neutrinos. Several specific examples are analyzed in some detail, particularly those that can be embedded into grand unified theories.
FERUGLIO, FERRUCCIO, G. ALTARELLI
openaire +3 more sources
Invited review: A review of some commonly used meta-analysis methods in dairy science research
: Meta-analyses have become increasingly common, providing meaningful summaries of cumulative knowledge in the dairy science literature. Some of the corresponding meta-analytic techniques have been developed by knowledgeable dairy scientists, some of ...
R.J. Tempelman
doaj +1 more source
How to utilize natural regeneration of birch to establish mixed spruce-birch forests in Finland?
Mixed forests are known for their ability to provide a wide range of ecosystem services. Such forests have higher biodiversity compared to monocultures, are resilient against disturbances and may mitigate the effects of climate change. Despite well-known
Lauri Männistö +2 more
doaj +1 more source

