Abstract: Complete and joint mixability has raised considerable interest in recent few years, in both the theory of distributions with given margins, and applications in discrete optimization and quantitative risk manage-ment. We list various open questions in the theory of complete and joint mixability, which are mathematically concrete, and yet accessible to a broad range of researchers without specific background knowledge. In addition to the discussions on open questions, some results contained in this paper ar
We consider the problems of deciding whether the joint distribution sampled by a given cir-cuit sati...
www.olemiss.edu/∼xdang. In this article, we propose a procedure to analyze partially exchangeable da...
We propose a Bayesian framework for assessing the relative strengths of data-driven ambiguity sets i...
The concept of complete mixability is relevant to some problems of optimal couplings with important ...
The concept of complete mixability is relevant to some problems of optimal couplings with important ...
We introduce the Mixability Detection Procedure (MDP) to check whether a set of d distribution funct...
We introduce the concepts of -complete mixability and -joint mixability and we inves- tigate some ne...
AbstractFollowing the results of Rüschendorf and Uckelmann (2002) [20], we introduce the completely ...
Following the results of Ruschendorf and Uckelmann (2002) [20], we introduce the completely mixable ...
Mixability is a property of a loss which characterizes when constant regret is possible in the ga...
In the recent years, the notion of mixability has been developed with applications to operations res...
Mixability of a loss governs the best possible performance when aggregating expert predictions with ...
Mixability of a loss governs the best possible performance when aggregating expert pre-dictions with...
In this article, we derive the distribution of partially exchangeable binary random variables, gener...
We consider the problems of deciding whether the joint distribution sampled by a given circuit has c...
We consider the problems of deciding whether the joint distribution sampled by a given cir-cuit sati...
www.olemiss.edu/∼xdang. In this article, we propose a procedure to analyze partially exchangeable da...
We propose a Bayesian framework for assessing the relative strengths of data-driven ambiguity sets i...
The concept of complete mixability is relevant to some problems of optimal couplings with important ...
The concept of complete mixability is relevant to some problems of optimal couplings with important ...
We introduce the Mixability Detection Procedure (MDP) to check whether a set of d distribution funct...
We introduce the concepts of -complete mixability and -joint mixability and we inves- tigate some ne...
AbstractFollowing the results of Rüschendorf and Uckelmann (2002) [20], we introduce the completely ...
Following the results of Ruschendorf and Uckelmann (2002) [20], we introduce the completely mixable ...
Mixability is a property of a loss which characterizes when constant regret is possible in the ga...
In the recent years, the notion of mixability has been developed with applications to operations res...
Mixability of a loss governs the best possible performance when aggregating expert predictions with ...
Mixability of a loss governs the best possible performance when aggregating expert pre-dictions with...
In this article, we derive the distribution of partially exchangeable binary random variables, gener...
We consider the problems of deciding whether the joint distribution sampled by a given circuit has c...
We consider the problems of deciding whether the joint distribution sampled by a given cir-cuit sati...
www.olemiss.edu/∼xdang. In this article, we propose a procedure to analyze partially exchangeable da...
We propose a Bayesian framework for assessing the relative strengths of data-driven ambiguity sets i...