Marie-Pier Côté

Marie-Pier Côté

Université Laval

H-index: 9

North America-Canada

About Marie-Pier Côté

Marie-Pier Côté, With an exceptional h-index of 9 and a recent h-index of 8 (since 2020), a distinguished researcher at Université Laval, specializes in the field of Actuarial science, Dependence modeling, Statistics.

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

A Flexible Hierarchical Insurance Claims Model with Gradient Boosting and Copulas

A Fair price to pay: exploiting causal graphs for fairness in insurance

Micro‐level reserving for general insurance claims using a long short‐term memory network

When stakes are high: Balancing accuracy and transparency with Model-Agnostic Interpretable Data-driven suRRogates

Identification of Road Network Intersection Types from Vehicle Telemetry Data Using a Convolutional Neural Network

A Bayesian approach to modeling multivariate multilevel insurance claims in the presence of unsettled claims

Pour en finir avec le test de Student

Boosting insights in insurance tariff plans with tree-based machine learning methods

Marie-Pier Côté Information

University

Position

Canada)

Citations(all)

338

Citations(since 2020)

255

Cited By

163

hIndex(all)

9

hIndex(since 2020)

8

i10Index(all)

9

i10Index(since 2020)

8

Email

University Profile Page

Google Scholar

Marie-Pier Côté Skills & Research Interests

Actuarial science

Dependence modeling

Statistics

Top articles of Marie-Pier Côté

A Flexible Hierarchical Insurance Claims Model with Gradient Boosting and Copulas

North American Actuarial Journal

2024/1/15

Marie-Pier Côté
Marie-Pier Côté

H-Index: 6

Thierry Duchesne
Thierry Duchesne

H-Index: 17

A Fair price to pay: exploiting causal graphs for fairness in insurance

Available at SSRN 4709243

2024

Marie-Pier Côté
Marie-Pier Côté

H-Index: 6

Arthur Charpentier
Arthur Charpentier

H-Index: 14

Micro‐level reserving for general insurance claims using a long short‐term memory network

Applied Stochastic Models in Business and Industry

2023/5

When stakes are high: Balancing accuracy and transparency with Model-Agnostic Interpretable Data-driven suRRogates

Expert Systems with Applications

2022/9/15

Identification of Road Network Intersection Types from Vehicle Telemetry Data Using a Convolutional Neural Network

ISPRS International Journal of Geo-Information

2022/8/31

A Bayesian approach to modeling multivariate multilevel insurance claims in the presence of unsettled claims

Bayesian Analysis

2022/3

Marie-Pier Côté
Marie-Pier Côté

H-Index: 6

Christian Genest
Christian Genest

H-Index: 37

Pour en finir avec le test de Student

Bulletin AMQ

2021/12

Christian Genest
Christian Genest

H-Index: 37

Marie-Pier Côté
Marie-Pier Côté

H-Index: 6

Boosting insights in insurance tariff plans with tree-based machine learning methods

North American Actuarial Journal

2021/4/3

Boosting insights in insurance tariff plans with machine learning methods

2020/12/3

Katrien Antonio
Katrien Antonio

H-Index: 15

Marie-Pier Côté
Marie-Pier Côté

H-Index: 6

From Massive Trajectory Data to Traffic Modeling for Better Behavior Prediction in a Usage-Based Insurance Context

ISPRS international journal of geo-information

2020/12/2

Synthesizing property & casualty ratemaking datasets using generative adversarial networks

arXiv preprint arXiv:2008.06110

2020/8/13

Model-Agnostic Interpretable and Data-driven suRRogates suited for highly regulated industries

stat

2020/7

See List of Professors in Marie-Pier Côté University(Université Laval)

Co-Authors

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