Michael Ludkovski

Orcid: 0000-0001-7887-3870

According to our database1, Michael Ludkovski authored at least 27 papers between 2001 and 2024.

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Bibliography

2024
Probabilistic Spatiotemporal Modeling of Day-Ahead Wind Power Generation with Input-Warped Gaussian Processes.
CoRR, 2024

2023
Extreme Scenario Selection in Day-Ahead Power Grid Operational Planning.
CoRR, 2023

Expressive Mortality Models through Gaussian Process Kernels.
CoRR, 2023

2022
Adaptive batching for Gaussian process surrogates with application in noisy level set estimation.
Stat. Anal. Data Min., 2022

Large-scale local surrogate modeling of stochastic simulation experiments.
Comput. Stat. Data Anal., 2022

On Parametric Optimal Execution and Machine Learning Surrogates.
CoRR, 2022

2021
A Machine Learning Approach to Adaptive Robust Utility Maximization and Hedging.
SIAM J. Financial Math., 2021

Evaluating Gaussian process metamodels and sequential designs for noisy level set estimation.
Stat. Comput., 2021

Statistical learning for probability-constrained stochastic optimal control.
Eur. J. Oper. Res., 2021

An Impulse-Regime Switching Game Model of Vertical Competition.
Dyn. Games Appl., 2021

2020
Generalized Probabilistic Bisection for Stochastic Root Finding.
ACM Trans. Model. Comput. Simul., 2020

Probabilistic bisection with spatial metamodels.
Eur. J. Oper. Res., 2020

2019
Replication or Exploration? Sequential Design for Stochastic Simulation Experiments.
Technometrics, 2019

2018
Sequential Design and Spatial Modeling for Portfolio Tail Risk Measurement.
SIAM J. Financial Math., 2018

2017
Sequential Design for Ranking Response Surfaces.
SIAM/ASA J. Uncertain. Quantification, 2017

2016
Stochastic Optimal Coordination of Small UAVs for Target Tracking using Regression-based Dynamic Programming.
J. Intell. Robotic Syst., 2016

2015
Sequential Design for Optimal Stopping Problems.
SIAM J. Financial Math., 2015

Optimal Execution with Dynamic Order Flow Imbalance.
SIAM J. Financial Math., 2015

Information directed sampling for stochastic root finding.
Proceedings of the 2015 Winter Simulation Conference, 2015

2014
Sequential Bayesian inference in hidden Markov stochastic kinetic models with application to detection and response to seasonal epidemics.
Stat. Comput., 2014

2012
Bayesian quickest detection with observation-changepoint feedback.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012

2011
Stochastic Switching Games and Duopolistic Competition in Emissions Markets.
SIAM J. Financial Math., 2011

Optimal Timing to Purchase Options.
SIAM J. Financial Math., 2011

Liquidation in Limit Order Books with Controlled Intensity
CoRR, 2011

Optimal disease outbreak decisions using stochastic simulation.
Proceedings of the Winter Simulation Conference 2011, 2011

2010
Inventory management with partially observed nonstationary demand.
Ann. Oper. Res., 2010

2001
New Families of Ideal 2-Level Autocorrelation Ternary Sequences From Second Order DHT.
Electron. Notes Discret. Math., 2001


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