Results 21 to 30 of about 1,662,490 (267)
Effective multipoles in random media [PDF]
Communications in Partial Differential Equations, 2020 60 ...
Bella, P., Giunti, A., Otto, F.
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Axioms, 2021 In this paper, we investigate the existence of mild solutions to a multi-term fractional integro-differential equation with random effects. Our results are mainly relied upon stochastic analysis, Mönch’s fixed point theorem combined with a random fixed ...
Amadou Diop, Wei-Shih Du
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Spatial Modeling of Fixed Effect and Random Effect with Fast Double Bootstrap Approach
ComTech, 2023 The use of panel data on spatial regression has many advantages. However, testing the spatial dependency and parameter presumption generated in spatial regression of panel data becomes inaccurate when applied to regions with large numbers of small ...
Wigbertus Ngabu +3 more
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Determinants of credit risk: Empirical evidence from Indian commercial banks [PDF]
Banks and Bank Systems, 2023 Credit risk is a significant factor affecting the financial stability of banks. Keeping the credit risk under control is essential to maintain a bank’s cash flow.
Tisa Maria Antony, Suresh G.
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On the Construction of Effective Random Sets
Journal of Symbolic Logic, 2002 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]
, 2016 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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On random-effects meta-analysis [PDF]
Biometrika, 2015 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]
The International Journal of Biostatistics, 2021 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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The effect of splitting on random forests [PDF]
Machine Learning, 2014 The effect of a splitting rule on random forests (RF) is systematically studied for regression and classification problems. A class of weighted splitting rules, which includes as special cases CART weighted variance splitting and Gini index splitting, are studied in detail and shown to possess a unique adaptive property to signal and noise. We show for
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Entropy, 2022 There has been a considerable amount of literature on binomial regression models that utilize well-known link functions, such as logistic, probit, and complementary log-log functions.
Yewon Han +3 more
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