Pierre L'Ecuyer

About Pierre L'Ecuyer

Pierre L'Ecuyer, With an exceptional h-index of 71 and a recent h-index of 32 (since 2020), a distinguished researcher at Université de Montréal, specializes in the field of simulation, random numbers, Monte Carlo, computer science, operations research.

His recent articles reflect a diverse array of research interests and contributions to the field:

Mathematical Software

Simple stratified sampling for simulating multi-dimensional Markov chains

Package ICR

Proposal for a standard file format for lattice rules and digital nets

Confidence Intervals for Randomized Quasi-Monte Carlo Estimators

A tool set for random number generation on GPUs in R

Construction-free median quasi-Monte Carlo rules for function spaces with unspecified smoothness and general weights

A Logistic Regression and Linear Programming Approach for Multi-Skill Staffing Optimization in Call Centers

Pierre L'Ecuyer Information

University

Position

Professor DIRO

Citations(all)

18680

Citations(since 2020)

4546

Cited By

16114

hIndex(all)

71

hIndex(since 2020)

32

i10Index(all)

209

i10Index(since 2020)

109

Email

University Profile Page

Google Scholar

Pierre L'Ecuyer Skills & Research Interests

simulation

random numbers

Monte Carlo

computer science

operations research

Top articles of Pierre L'Ecuyer

Title

Journal

Author(s)

Publication Date

Mathematical Software

ACM Transactions on

Zhaojun Bai

Wolfgang Bangerth

Paolo Bientinesi

Tim Hopkins

Salvatore Filippone

...

2023

Simple stratified sampling for simulating multi-dimensional Markov chains

Les Cahiers du GERAD ISSN

Rami El Haddad

Christian Lécot

Pierre L’Ecuyer

2023/12

Package ICR

Alexander Staudt

Pierre L'Ecuyer

2023/4/23

Proposal for a standard file format for lattice rules and digital nets

Pierre L’Ecuyer

2023

Confidence Intervals for Randomized Quasi-Monte Carlo Estimators

Pierre L'Ecuyer

Marvin K Nakayama

Art B Owen

Bruno Tuffin

2023

A tool set for random number generation on GPUs in R

arXiv preprint arXiv:2201.06604

Ruoyong Xu

Patrick Brown

Pierre L'Ecuyer

2022/1/17

Construction-free median quasi-Monte Carlo rules for function spaces with unspecified smoothness and general weights

SIAM Journal on Scientific Computing

Takashi Goda

Pierre L'Ecuyer

2022

A Logistic Regression and Linear Programming Approach for Multi-Skill Staffing Optimization in Call Centers

Thuy Anh Ta

Tien Mai

Fabian Bastin

Pierre l'Ecuyer

2022/12/11

Likelihood ratio density estimation for simulation models

Florian Puchhammer

Pierre L'Ecuyer

2022/12/11

Variance reduction for generalized likelihood ratio method by conditional Monte Carlo and randomized Quasi-Monte Carlo methods

Journal of Management Science and Engineering

Yijie Peng

Michael C Fu

Jiaqiao Hu

Pierre L’Ecuyer

Bruno Tuffin

2022/12/1

Policy learning and evaluation with randomized quasi-Monte Carlo

arXiv preprint arXiv:2202.07808

Sébastien MR Arnold

Pierre L'Ecuyer

Liyu Chen

Yi-fan Chen

Fei Sha

2022/2/16

A Tool for Custom Construction of QMC and RQMC Point Sets

M Godin

Pierre Marion

P L'Ecuyer

Florian Puchhammer

2021

Variance Reduction with Array-RQMC for Tau-Leaping Simulation of Stochastic Biological and Chemical Reaction Networks

Bulletin of Mathematical Biology

Florian Puchhammer

Amal Ben Abdellah

Pierre L'Ecuyer

2021

Monte Carlo and quasi-Monte Carlo density estimation via conditioning

INFORMS Journal on Computing

Pierre L'Ecuyer

Florian Puchhammer

Amal Ben Abdellah

2021

Multiple streams with recurrence-based, counter-based, and splittable random number generators

Pierre L'Ecuyer

Olivier Nadeau-Chamard

Yi-Fan Chen

Justin Lebar

2021/12/12

Density estimation by Randomized Quasi-Monte Carlo

SIAM/ASA Journal on Uncertainty Quantification

Amal Ben Abdellah

Pierre L'Ecuyer

Art B Owen

Florian Puchhammer

2021

On a multistage discrete stochastic optimization problem with stochastic constraints and nested sampling

Mathematical Programming

Thuy Anh Ta

Tien Mai

Fabian Bastin

Pierre L’Ecuyer

2021/11

A simulation-based decomposition approach for two-stage staffing optimization in call centers under arrival rate uncertainty

European Journal of Operational Research

Thuy Anh Ta

Wyean Chan

Fabian Bastin

Pierre L’Ecuyer

2021/9/16

Density Estimation by Monte Carlo and Quasi-Monte Carlo

Pierre L’Ecuyer

Florian Puchhammer

2020/8/10

Delay Predictors in Multi-skill Call Centers: An Empirical Comparison with Real Data.

Mamadou Thiongane

Wyean Chan

Pierre L'Ecuyer

2020

See List of Professors in Pierre L'Ecuyer University(Université de Montréal)

Co-Authors

academic-engine