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20072026
most citedPractical heteroskedastic Gaussian process modeling for large simulation experiments

184 citations · 540 across the 36 of their papers we have counts for

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Showing 2017Show all

5 papers · 1 filter

stat.ML2017

Generalized Probabilistic Bisection for Stochastic Root-Finding

Sergio Rodriguez, Michael Ludkovski

We consider numerical schemes for root finding of noisy responses through generalizing the Probabilistic Bisection Algorithm (PBA) to the more practical context where the sampling…

econ.GN2017★ 4 cited

Mean Field Game Approach to Production and Exploration of Exhaustible Commodities

Michael Ludkovski, Xuwei Yang

In a game theoretic framework, we study energy markets with a continuum of homogenous producers who produce energy from an exhaustible resource such as oil. Each producer simultane…

q-fin.RM2017★ 1 cited

Sequential Design and Spatial Modeling for Portfolio Tail Risk Measurement

Michael Ludkovski, James Risk

We consider calculation of capital requirements when the underlying economic scenarios are determined by simulatable risk factors. In the respective nested simulation framework, th…

stat.ME2017★ 106 cited

Replication or exploration? Sequential design for stochastic simulation experiments

Mickael Binois, Jiangeng Huang, Robert B Gramacy +1

We investigate the merits of replication, and provide methods for optimal design (including replicates), with the goal of obtaining globally accurate emulation of noisy computer si…

q-fin.TR2017

Order Flows and Limit Order Book Resiliency on the Meso-Scale

Kyle Bechler, Michael Ludkovski

We investigate the behavior of limit order books on the meso-scale motivated by order execution scheduling algorithms. To do so we carry out empirical analysis of the order flows f…