Ranking Scholars: A Measure Representation

2016 ◽  
Author(s):  
Casilda Lasso de la Vega ◽  
Oscar Volij
Keyword(s):  
Measure Representation

PaReSoGo: Dataset on party representation of social groups for 25 countries, 2002–2016

2021 ◽  
pp. 135406882110238
Author(s):  
Olga Zelinska ◽  
Joshua K Dubrow
Keyword(s):  
Social Groups ◽  
European Social Survey ◽  
Political Elite ◽  
The Political ◽  
Dissimilarity Index ◽  
Social Scientists ◽  
Social Survey ◽  
Measure Representation ◽  
Gender And Age ◽  
The Masses

Whereas social scientists have devised various ways to measure representation gaps between the political elite and the masses across nations and time, few datasets can be used to measure this gap for particular social groups. Minding the gap between what parties social groups vote for and what parties actually attain seats in parliament can reveal the position of social groups in the political power structure. We help to fill this gap with a new publicly available dataset, Party Representation of Social Groups (PaReSoGo), consisting of 25 countries and 150 country-years, and a method for its construction. We used the European Social Survey 2002–2016 and ParlGov data for this time span to create a Dissimilarity Index. To demonstrate the utility and flexibility in the combination of cross-national surveys and administrative data, we chose social groups of gender, age, and education, as well as intersectional groups based on gender and age, and attitudinal groups. We conclude this research note with empirical illustrations of PaReSoGo’s use.

scholarly journals Prediction of magnetic storm events using the <i>D<sub>st</sub></i> index

2005 ◽  
Vol 12 (6) ◽  
pp. 799-806 ◽  
Author(s):  
V. V. Anh ◽  
Z. G. Yu ◽  
J. A. Wanliss ◽  
S. M. Watson
Keyword(s):  
Time Series ◽  
Magnetic Storm ◽  
Iterated Function System ◽  
Numerical Results ◽  
Function System ◽  
Storm Events ◽  
Dst Index ◽  
Measure Representation ◽  
Iterated Function

Abstract. This paper provides a method to predict magnetic storm events based on the time series of the Dst index over the period 1981-2002. This method is based on the multiple scaling of the measure representation of the Dst time series. This measure is modeled as a recurrent iterated function system, which leads to a method to predict storm patterns included in its attractor. Numerical results are provided to evaluate the performance of the method in outside-sample forecasts.

scholarly journals Measure representation and multifractal analysis of complete genomes

2001 ◽  
Vol 64 (3) ◽  
Author(s):  
Zu-Guo Yu ◽  
Vo Anh ◽  
Ka-Sing Lau
Keyword(s):  
Multifractal Analysis ◽  
Measure Representation ◽  
Complete Genomes

scholarly journals Fractal analysis of measure representation of large proteins based on the detailed HP model

2004 ◽  
Vol 337 (1-2) ◽  
pp. 171-184 ◽  
Author(s):  
Zu-Guo Yu ◽  
Vo Anh ◽  
Ka-Sing Lau
Keyword(s):  
Fractal Analysis ◽  
Large Proteins ◽  
Hp Model ◽  
Measure Representation

scholarly journals On atom-swarming and Luce’s theorem for probabilistic beliefs

2020 ◽  
Author(s):  
Andrew Mackenzie
Keyword(s):  
New York ◽  
Measurement Theory ◽  
Academic Press ◽  
Third Order ◽  
Qualitative Probability ◽  
Measurement Volume ◽  
Measure Representation ◽  
Polynomial Representations ◽  
Probabilistic Beliefs ◽  
Probability Spaces

Abstract For qualitative probability spaces, monotone continuity and third-order atom-swarming are together sufficient for a unique countably additive probability measure representation that may have atoms (Mackenzie in Theor Econ 14:709–778, 2019). We provide a new proof by appealing to a theorem of Luce (Ann Math Stat 38:780–786, 1967), highlighting the usefulness of extensive measurement theory (Krantz et al. in Foundations of Measurement Volume I: Additive and Polynomial Representations. Academic Press, New York, 1971) for economists.

Anticipated utility: A measure representation approach

1989 ◽  
Vol 19 (1) ◽  
pp. 359-373 ◽  
Author(s):  
Uzi Segal
Keyword(s):  
Anticipated Utility ◽  
Measure Representation

scholarly journals Gabriel–Roiter Measure, Representation Dimension and Rejective Chains

2020 ◽  
Vol 71 (2) ◽  
pp. 619-635
Author(s):  
Teresa Conde
Keyword(s):  
Global Dimension ◽  
Alternative Proof ◽  
Representation Dimension ◽  
Finite Global Dimension ◽  
Measure Representation ◽  
Artin Algebras

Abstract The Gabriel–Roiter measure is used to give an alternative proof of the finiteness of the representation dimension for Artin algebras, a result established by Iyama in 2002. The concept of Gabriel–Roiter measure can be extended to abelian length categories and every such category has multiple Gabriel–Roiter measures. Using this notion, we prove the following broader statement: given any object $X$ and any Gabriel–Roiter measure $\mu$ in an abelian length category $\mathcal{A}$, there exists an object $X^{\prime}$ that depends on $X$ and $\mu$, such that $\Gamma =\operatorname{End}_{\mathcal{A}}(X\oplus X^{\prime})$ has finite global dimension. Analogously to Iyama’s original results, our construction yields quasihereditary rings and fits into the theory of rejective chains.

Weak Convergence of Integrands and the Young Measure Representation

1992 ◽  
Vol 23 (1) ◽  
pp. 1-19 ◽  
Author(s):  
David Kinderlehrer ◽  
Pablo Pedregal
Keyword(s):  
Weak Convergence ◽  
Young Measure ◽  
Measure Representation
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