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20162020
most citedEfficient Estimation in the Tails of Gaussian Copulas

1 citations · 2 across the 2 of their papers we have counts for

collaborators

5 papers

math.OC20201 cited

Adaptive Sequential SAA for Solving Two-stage Stochastic Linear Programs

Raghu Pasupathy, Yongjia Song

We present adaptive sequential SAA (sample average approximation) algorithms to solve large-scale two-stage stochastic linear programs. The iterative algorithm framework we propose…

stat.CO2018

Optimal Allocations for Sample Average Approximation

Prateek Jaiswal, Harsha Honnappa, Raghu Pasupathy

We consider a single stage stochastic program without recourse with a strictly convex loss function. We assume a compact decision space and grid it with a finite set of points. In…

math.PR2018

Dominating Points of Gaussian Extremes

Harsha Honnappa, Raghu Pasupathy, Prateek Jaiswal

We quantify the large deviations of Gaussian extreme value statistics on closed convex sets in d-dimensional Euclidean space. The asymptotics imply that the extreme value distribut…

q-fin.TR2017

Optimal placement of a small order in a diffusive limit order book

José E. Figueroa-López, Hyoeun Lee, Raghu Pasupathy

We study the optimal placement problem of a stock trader who wishes to clear his/her inventory by a predetermined time horizon t, by using a limit order or a market order. For a di…

stat.CO20161 cited

Efficient Estimation in the Tails of Gaussian Copulas

Kalyani Nagaraj, Jie Xu, Raghu Pasupathy +1

We consider the question of efficient estimation in the tails of Gaussian copulas. Our special focus is estimating expectations over multi-dimensional constrained sets that have a…