General Convex Order on Risk Aggregation Edgars Jakobsons∗, Xiaoying Han† and Ruodu Wang‡ January 19, 2015 Abstract Using a general notion of convex order, we derive general lower bounds for risk measures of aggreg

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• Mathematical analysis
• Actuarial science
• Financial risk
• Analysis
• Economy
• Coherent risk measure
• Convex function
• Risk aversion
• Risk
• Comonotonicity
• Distribution

TECHNOLOGY & METHODOLOGY OVERVIEW The cognitive computing engine powering tru360 uses natural language processing (NLP) to derive quantitative data from semantic input. Cognitive computing systems are able to address co

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Modelling Homework 1 Due 30 August 2012; 9:30am at the beginning of the class August 17, Derive the ordinary differential equation 4π1 f ′′ (π1 ) + (π1 + 2)f ′ (π1 ) = 0 by substituting the “anstaz”

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• Calculus
• Mathematical analysis
• Physics
• Aerodynamics
• Partial differential equations
• Differential equations
• Heat equation
• NavierStokes equations
• Fluid dynamics
• Ordinary differential equation
• Laws of science
• Wave equation

Appendix Introduction Note: Overall Rank Table and Map Overall Ranks for 2000 through 2010 for each state using a consistent set of indicators; namely those used to derive the

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Introduction What constitutes a decent standard of living for people in South Africa? The aim of this ongoing project is to derive an understanding of what constitutes a broadly acceptable living level that should be use

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VENDOR RISK MANAGEMENT TECHNICAL SOLUTIONS Confide in a security partner that can understand various technologies employed by your vendors in order to derive a clearer picture for technical risk. Measuring Security for T

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ARITHMETIC OF BLOCK MONOIDS WOLFGANG A. SCHMID Abstract. We investigate block monoids, the monoid of zero-sum sequences, over abelian groups and their divisor-closed submonoids. We derive some results that can be used as

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HW #7 (221A), due Oct 13, 4pm 1. Consider a free particle with Hamiltonian H = p~2 /2m. (a) Derive the propagator (Sakurai’s Eq)) 3/2  

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Derivation of the full conditionals for Bayesian analysis In the following, we derive the straightforward calculations of the full conditionals for Bayesian analysis. For the Bayesian model specified in the paper, the li

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Prerequisites: calculus. This course is an introduction to mathematical probability. Here are some everyday problems that you will be able to answer— and derive the answer for—once you’ve taken this course. 1. How

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