Comparison Methods for Stochastic Models and Risks
By Mark A. McComb. Technometrics, 2003
1,147 citations recorded by the source corpus.
Subfields: Management Science and Operations Research
View Paper: https://www.semanticscholar.org/paper/584318897fa357012e792a3bce5d803fc6e9ce71
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In Management Science and Operations Research
- Tito Homem-de-Mello
- Alexander Shapiro
- Darinka Dentcheva †
- Andrzej Ruszczynski
- Güzin Bayraksan
- Arkadi Nemirovski
- Michael C. Fu
- Nilay Noyan
Citations in the corpus
- LINEAR BIRTH/IMMIGRATION-DEATH PROCESS WITH BINOMIAL CATASTROPHES (2015, result): “This idea for a proof follows the same line of reasoning as in [58].”
- Properties of hierarchical Archimedean copulas (2013, background): “This type of ordering is also called positive quadrant ordering or upper orthant ordering (see [16]).”
- Consistent risk measures for portfolio vectors (2006, positive): “b) Supermodular and directionally convex ordering The supermodular ordering and the directionally convex ordering are of particular interest for multivariate risk comparison (for definition see [9] or [12, Definition 4.”
- Scenario Approximations of Chance Constraints (2006, background): “It is well known that the above majorization is a partial order (e.g., [ 7 ]).”
- Semi-infinite probabilistic optimization: first-order stochastic dominance constrain (2004, background): “We refer the reader to [21,22,32] for a modern perspective on stochastic ordering and to [1,13] for recent applications in statistics.”
- Comparison of semimartingales and Lévy processes (2007, background): “comprehensive books survey wide areas of this research (see [15, 17, 22, 23, 24]).”
- Ordering properties of the smallest and largest claim amounts in a general scale model (2017, background): “Interested readers may refer to Müller & Stoyan (2002) and Shaked & Shanthikumar (2007) for a comprehensive discussion on various stochastic orderings and relations between them.”
- Generalised shot noise Cox processes (2005, background): “However, the authors’ attempt to verify this, by combining (16) to (18) and Proposition 2, failed.”
- Shortest path problem considering on-time arrival probability (2009, background): “In decision theory and economics, this criterion is often called first-order stochastic dominance (see Muller and Stoyan, 2002).”
- Dependence properties and bounds for ruin probabilities in multivariate compound risk models (2007, background): “We first review the notions of positive association and supermodular dependence, which can be found, for example, in Tong (1980) and in Müller and Stoyan (2002).”
- Some positive dependence stochastic orders (2006, positive): “We recall (see, for example, Shaked and Shanthikumar (1994) or Müller and Stoyan (2002)) that a random vector X is said to be smaller than a random vector Y , in the upper orthant order (denoted as X ≤uo Y ), if P{X > x} ≤ P{Y > x} for all x.”
- Monte Carlo sampling-based methods for stochastic optimization (2014, background): “, Müller and Stoyan [163]), which corresponds to C = R+ .”
- Optimal reinsurance minimizing the distortion risk measure under general reinsurance premium principles (2013, neutral): “Otherwise, f∗∗ W,V aR(x) = min{(x− d2)+, S−1 X (α)− d ∗ 2} (21)”
- ORDERING PROPERTIES OF ORDER STATISTICS FROM HETEROGENEOUS POPULATIONS: A REVIEW WITH AN EMPHASIS ON SOME RECENT DEVELOPMENTS (2013, background): “For elaborate details on various stochastic orders, one may refer to Shaked and Shanthikumar [42] and Müller and Stoyan [38].”
- To Split or Not to Split: Capital Allocation with Convex Risk Measures (2007, positive): “M¨uller and Stoyan, 2002) is presented.”
- Dual characterization of properties of risk measures on Orlicz hearts (2008, neutral): “(6.3) Proofs of these facts and more on stochastic orders can, for instance, be found in Müller and Stoyan (2002), Föllmer and Schied (2004) or Shaked and Shanthikumar (2007).”
- Stochastic Orders and Risk Measures: Consistency and Bounds (2006, positive): “M¨uller and Stoyan (2002)).”
- Worst VaR scenarios (2005, background): “Then the following statements are equivalent: (a) X ≤sl Y , (b) For all real d E[X − d]+ ≤ E[Y − d]+. (20) A simple proof can be found in Müller and Stoyan (2002), Theorem 1.5.7.”