Brian Hartman

Brian Hartman

Brigham Young University

H-index: 13

North America-United States

About Brian Hartman

Brian Hartman, With an exceptional h-index of 13 and a recent h-index of 11 (since 2020), a distinguished researcher at Brigham Young University, specializes in the field of Bayesian Statistics, Actuarial Science.

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

A two-part model of the individual costs of chronic kidney disease

Machine learning in ratemaking, an application in commercial auto insurance

A multivariate spatiotemporal model for county level mortality data in the contiguous United States

Predicting diabetes and ENT emergency department admissions using hospital records

Using Machine Learning to Better Model Long-Term Care Insurance Claims

Market-based Model Selection with an Application in Commercial Auto Ratemaking

mshap: Shap values for two-part models

Systems and methods for outage prediction

Brian Hartman Information

University

Position

___

Citations(all)

538

Citations(since 2020)

442

Cited By

259

hIndex(all)

13

hIndex(since 2020)

11

i10Index(all)

14

i10Index(since 2020)

11

Email

University Profile Page

Google Scholar

Brian Hartman Skills & Research Interests

Bayesian Statistics

Actuarial Science

Top articles of Brian Hartman

Title

Journal

Author(s)

Publication Date

A two-part model of the individual costs of chronic kidney disease

North American Actuarial Journal

Brian Hartman

Courtney Larson

Christopher Kunkel

Cason Wight

Richard L Warr

2024/1/2

Machine learning in ratemaking, an application in commercial auto insurance

Risks

Spencer Matthews

Brian Hartman

2022/4/8

A multivariate spatiotemporal model for county level mortality data in the contiguous United States

Available at SSRN 4246521

Michael Shull

Robert Richardson

Chris Groendyke

Brian M Hartman

2022

Predicting diabetes and ENT emergency department admissions using hospital records

Journal of Hospital Management and Health Policy

Adam Ott

Brinley N Zabriskie

Brian Hartman

2022/12/25

Using Machine Learning to Better Model Long-Term Care Insurance Claims

North American Actuarial Journal

Jared Cummings

Brian Hartman

2022/8/26

Market-based Model Selection with an Application in Commercial Auto Ratemaking

Variance

Brian Hartman

Chris Dixon

Alisa Walch

2022/7/25

mshap: Shap values for two-part models

Risks

Spencer Matthews

Brian Hartman

2021/12/24

Systems and methods for outage prediction

2021/10/12

A Bayesian approach to real-time spatiotemporal prediction systems for bronchiolitis

Spatial and Spatio-temporal Epidemiology

Matthew J Heaton

Celeste Ingersoll

Candace Berrett

Brian M Hartman

Chantel Sloan

2021/8/1

Modeling county-level spatio-temporal mortality rates using dynamic linear models

Risks

Zoe Gibbs

Chris Groendyke

Brian Hartman

Robert Richardson

2020/11/5

Synthesizing property & casualty ratemaking datasets using generative adversarial networks

arXiv preprint arXiv:2008.06110

Marie-Pier Cote

Brian Hartman

Olivier Mercier

Joshua Meyers

Jared Cummings

...

2020/8/13

Using Asymmetric Cost Matrices to Optimize Care Management Interventions

North American Actuarial Journal

Zoe Gibbs

Brian Hartman

2020/8/1

Predicting high-cost health insurance members through boosted trees and oversampling: An application using the HCCI database

North American Actuarial Journal

Brian Hartman

Rebecca Owen

Zoe Gibbs

2020/7/14

Bayesian multivariate regime-switching models and the impact of correlation structure misspecification in variable annuity pricing

Scandinavian Actuarial Journal

Brian Hartman

Chris Groendyke

David Engler

2020/2/7

See List of Professors in Brian Hartman University(Brigham Young University)

Co-Authors

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