Results 11 to 20 of about 1,580,568 (267)
Effective randomness for continuous measures [PDF]
We investigate which infinite binary sequences (reals) are effectively random with respect to some continuous (i.e., non-atomic) probability measure. We prove that for every n n
Reimann, Jan, Slaman, Theodore A.
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A Spatiotemporal Analysis of the COVID‐19 Pandemic in North Africa
Spatial panel‐data models are estimated to identify the factors of the prevalence of the coronavirus outbreak in North Africa. Using daily data on the number of cases collected between March 2020 and December 2021, three types of general models are ...
Sami Khedhiri
doaj +1 more source
Pro forma modeling of cryptocurrency returns, volatilities, linkages and portfolio characteristics
Critics say cryptocurrencies are hard to predict and lack both economic value and accounting standards, while supporters argue they are revolutionary financial technology and a new asset class.
Rama K. Malladi
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Effective multipoles in random media [PDF]
60 ...
Bella, P., Giunti, A., Otto, F.
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TMB: Automatic Differentiation and Laplace Approximation
TMB is an open source R package that enables quick implementation of complex nonlinear random effects (latent variable) models in a manner similar to the established AD Model Builder package (ADMB, http://admb-project.org/; Fournier et al. 2011).
Kasper Kristensen +4 more
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On the Construction of Effective Random Sets
Abstract.We present a comparatively simple way to construct Martin-Löf random and rec-random sets with certain additional properties, which works by diagonalizing against appropriate martingales. Reviewing the result of Gács and Kučera, for any given set X we construct a Martin-Löf random set from which X can be decoded effectively.By a variant of the ...
Merkle, Wolfgang, Mihailović, Nenad
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Effective Bi-immunity and Randomness [PDF]
We study the relationship between randomness and effective bi-immunity. Greenberg and Miller have shown that for any oracle X, there are arbitrarily slow-growing DNR functions relative to X that compute no ML random set. We show that the same holds when ML randomness is replaced with effective bi-immunity.
Achilles A. Beros +2 more
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This article presents the results of the implementation of a forecasting model, to predict the relief materials needed for assisting in decisions prior to natural disasters, thus filling a gap in the exploration of Generalized Linear Mixed Models (GLMM ...
Camila Pareja Yale +2 more
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On random-effects meta-analysis [PDF]
Meta-analysis is widely used to compare and combine the results of multiple independent studies. To account for between-study heterogeneity, investigators often employ random-effects models, under which the effect sizes of interest are assumed to follow a normal distribution.
D. Zeng, D. Y. Lin
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The effect of random-effects misspecification on classification accuracy [PDF]
Abstract Mixed models are a useful way of analysing longitudinal data. Random effects terms allow modelling of patient specific deviations from the overall trend over time. Correlation between repeated measurements are captured by specifying a joint distribution for all random effects in a model.
Riham El Saeiti +2 more
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