Bayesian analysis of running holographic Ricci dark energy

Abstract

Holographic Ricci dark energy evolving through its interaction with dark matter is a natural choice for the running vacuum energy model. We have analyzed the relative significance of two versions of this model in the light of SNIa, CMB, BAO and Hubble data sets using the method Bayesian inferences. The first one, model 1, is the running holographic Ricci dark energy (rhrde) having a constant additive term in its density form and the second is one, model 2, having no additive constant, instead the interaction of rhrde with dark matter is accounted through a phenomenological coupling term. The Bayes factor of these models in comparison with the standard ΛCDM have been obtained by calculating the likelihood of each model for four different data combinations, SNIa(307)+CMB+BAO, SNIa(307)+CMB+BAO+Hubble data, SNIa(580)+CMB+BAO and SNIa(580)+CMB+BAO+Hubble data. Suitable flat priors for the model parameters has been assumed for calculating the likelihood in both cases. Our analysis shows that, according to the Jeffreys scale, the evidence for ΛCDM against both model 1 and model 2 is very strong as the Bayes factor of both models are much less than one for all the data combinations.

Effect of Running Pose Control Training on Ground Reaction Force, Lower Limb Kinetics

“…George and Mathew said that, from a very early time, the whole process of running landing force is the interaction and comprehensive effect of external forces such as ground reaction force and internal forces such as lower limb muscle force. erefore, possible defects may exist in improving triceps muscle strength through training alone and hoping to adapt the Achilles tendon to the centrifugal load or radial load caused by running quickly and repeatedly [9]. Adarsh and Priya held that, when running on the hard low surface (such as sandy lawn), the hip and knee flexion angle and maximum flexion angle during the first touchdown stage and the middle support stage were greater than those on the hard surface (such as asphalt concrete).…”

Modified holographic Ricci interacting dark energy models: dynamical system analysis and Bayesian comparison

“…In Refs. [30,34,39,48,65,66,92,93], the performance of holographic dark energy models in fitting cosmological data was assessed relative to the ΛCDM model, where several criteria were used, including χ 2 /do f , Akaike information criterion (AIC) and Bayesian information criterion (BIC) [94], and Bayesian evidence [73]. The authors of Ref.…”

“…Over the years, many interacting holographic scenarios have been investigated in different contexts; see for example Refs. [47][48][49][50][51][52][53][54][55][56][57][58][59][60][61][62][63][64][65][66].…”