Results 231 to 240 of about 1,042,431 (269)
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Macroeconomic Dynamics, 2002
If one drops the strong assumption that firms and households know all of the relevant parameters, and instead models agents as learning these parameters, the estimated parameters become random variables. Taking expectations several periods into the future may then involve taking the expectation of a product of random variables.
Moore, Bartholomew, Schaller, Huntley
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If one drops the strong assumption that firms and households know all of the relevant parameters, and instead models agents as learning these parameters, the estimated parameters become random variables. Taking expectations several periods into the future may then involve taking the expectation of a product of random variables.
Moore, Bartholomew, Schaller, Huntley
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Outlyingness Weighted Covariation
SSRN Electronic Journal, 2008Quadratic covariation is a popular descriptive measure for the volatility of a multivariate price process. It is consistently estimated by the sum of outer products of high-frequency returns. The proposed realized outlyingness weighted covariation (ROWCov) is a weighted sum of outer products of high-frequency returns and downweights returns that ...
Boudt, Kris +2 more
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Covariate-free and Covariate-dependent Reliability
Psychometrika, 2016Classical test theory reliability coefficients are said to be population specific. Reliability generalization, a meta-analysis method, is the main procedure for evaluating the stability of reliability coefficients across populations. A new approach is developed to evaluate the degree of invariance of reliability coefficients to population ...
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Covariant Schr dinger operator
Journal of Physics A: Mathematical and General, 2002Summary: We analyse the Schrödinger operator for a quantum scalar particle in a curved spacetime which is fibred over absolute time and is equipped with given spacelike metric, gravitational field and electromagnetic field. We approach the Schrödinger operator in three independent ways: in terms of covariant differentials induced by the quantum ...
MODUGNO, MARCO, J. JANYSKA
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Covariates and Covariance Analyses
2012A confounding variable is the bane of every clinician’s and researcher’s existence. A confounding variable is anything that can affect (or effect) an outcome measure, principally performance on neuropsychological testing, and is not of primary relevance in clinical practice or experimentation.
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2021
This chapter examines the covariance, which is either a comprehensive qualitative approach or the first step of a quantitative approach to the analysis of the relationship between two variables. On the one hand, in qualitative studies, and in particular in case study methods, covariation is an analytical approach used alongside causal process-tracing ...
Virginie Van Ingelgom, Alban Versailles
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This chapter examines the covariance, which is either a comprehensive qualitative approach or the first step of a quantitative approach to the analysis of the relationship between two variables. On the one hand, in qualitative studies, and in particular in case study methods, covariation is an analytical approach used alongside causal process-tracing ...
Virginie Van Ingelgom, Alban Versailles
openaire +1 more source