Results 31 to 40 of about 2,103,088 (288)
On the Sample Information About Parameter and Prediction [PDF]
The Bayesian measure of sample information about the parameter, known as Lindley's measure, is widely used in various problems such as developing prior distributions, models for the likelihood functions and optimal designs.
Ehsan S. Soofi +6 more
core +1 more source
Redundancy of classical and quantum correlations during decoherence [PDF]
We analyze the time dependence of entanglement and total correlations between a system and fractions of its environment in the course of decoherence. For the quantum Brownian motion model we show that the entanglement and total correlations have rather ...
Augusto J. Roncaglia +3 more
core +2 more sources
Limit Theorems for Network Dependent Random Variables
This paper is concerned with cross-sectional dependence arising because observations are interconnected through an observed network. Following Doukhan and Louhichi (1999), we measure the strength of dependence by covariances of nonlinearly transformed ...
Kojevnikov, Denis +2 more
core +1 more source
Multidimensional dependency measures
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Fernández, Begoña Fernández +1 more
openaire +2 more sources
In this paper, the defining properties of a valid measure of the dependence between two random variables are reviewed and complemented with two original ones, shown to be more fundamental than other usual postulates.
de Micheaux, Pierre Lafaye +1 more
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The Risk of Individual Stocks’ Tail Dependence with the Market and Its Effect on Stock Returns
Traditional beta is only a linear measure of overall market risk and places equal emphasis on upside and downside risks, but actually the latter is always much stronger probably due to the trading mechanism like short-sale constraints.
Guobin Fan +3 more
doaj +1 more source
Non-Compositional Term Dependence for Information Retrieval [PDF]
Modelling term dependence in IR aims to identify co-occurring terms that are too heavily dependent on each other to be treated as a bag of words, and to adapt the indexing and ranking accordingly.
Fujita S. +20 more
core +1 more source
Bounds on integrals with respect to multivariate copulas
In this paper, we present a method to obtain upper and lower bounds on integrals with respect to copulas by solving the corresponding assignment problems (AP’s). In their 2014 paper, Hofer and Iacó proposed this approach for two dimensions and stated the
Preischl Michael
doaj +1 more source
Copula conditional tail expectation for multivariate financial risks
Our goal in this paper is to propose an alternative risk measure which takes into account the fluctuations of losses and possible correlations between random variables.
Brahimi Brahim +2 more
doaj +1 more source
Income Distribution Dependence of Poverty Measure: A Theoretical Analysis [PDF]
With a new deprivation (or poverty) function, in this paper, we theoretically study the changes in poverty with respect to the `global' mean and variance of the income distribution using Indian survey data. We show that when the income obeys a log-normal
Amit K. Chattopadhyay +25 more
core +2 more sources

