In many application areas, a primary focus is on assessing evidence in the data refuting the assumption of independence of Y and X conditionally on Z, with Y response variables, X predictors of ...

Sankhyā: The Indian Journal of Statistics, Series A (1961-2002), Vol. 53, No. 1 (Feb., 1991), pp. 51-59 (9 pages) For a subset of the summands of U-statistics with ...

This book offers a comprehensive framework for mastering the complexities of learning high-dimensional sparse graphical models through the use of conditional independence tests. These tests are ...

We demonstrate the impact of conditional correlation on an asymptotic single risk factor model within the framework of dynamic credit provisioning and stress testing. Specifically, we show the effect ...

This paper proposes a portfolio risk evaluation method that assumes conditional independence. We consider some latent variables which determine the conditional distribution of the future price or the ...