Coherent Upper Conditional Previsions Defined by Hausdorff Outer Measures to Forecast in Chaotic Dynamical Systems [PDF]
Coherent conditional previsions and probabilities are tools to model and quantify uncertainties; they have been investigated in de Finetti [3], [4], Dubins [10] Regazzini [13], [14] and Williams [20]. Separately coherent upper and lower conditional previsions have been introduced in Walley [18], [19] and models of upper and lower conditional previsions
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Social protection and informality in Latin America during the COVID-19 pandemic. [PDF]
Busso M +3 more
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Examining the roles of depression, pain catastrophizing, and self-efficacy in quality of life changes following chronic pain treatment. [PDF]
Montag LT +4 more
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The impact of peer review on the contribution potential of scientific papers. [PDF]
Matsui A, Chen E, Wang Y, Ferrara E.
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Modeling Conditional Skewness in Stock Returns [PDF]
In this paper we propose a new GARCH-in-Mean (GARCH-M) model allowing for conditional skewness. The model is based on the so-called z distribution capable of modeling moderate skewness and kurtosis typically encountered in stock return series.
Markku Lanne, Pentti Saikkonen
core
Different Machine Learning Approaches for Implementing Telehealth-Based Cancer Pain Management Strategies. [PDF]
Cascella M +7 more
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A remark on failures of conglomerability of prevision
Given a coherent conditional prevision we obtain, by means of the Yoshida-Hewitt Decomposition Theorem, an upper bound of its failures of conglomerability with respect to a random number and a denumerable partition.
HOLZER, SILVANO
core
Fresh from the biotech pipeline: too much, too fast? [PDF]
Senior M.
europepmc +1 more source
Nonparametric Tests of Conditional Treatment Effects [PDF]
We develop a general class of nonparametric tests for treatment effects conditional on covariates. We consider a wide spectrum of null and alternative hypotheses regarding conditional treatment effects, including (i) the null hypothesis of the ...
Sokbae Lee, Yoon-Jae Whang
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