Shane Reese

Shane Reese

Brigham Young University

H-index: 24

North America-United States

About Shane Reese

Shane Reese, With an exceptional h-index of 24 and a recent h-index of 15 (since 2020), a distinguished researcher at Brigham Young University, specializes in the field of Bayesian methods, reliability, sports Statistics, computer experiments.

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

Posterior exploration for computationally intensive forward models

Becoming BYU: An Inaugural Response

Quick to Observe

Becoming New Creatures

On the Uniqueness of BYU

Template priors in Bayesian curve registration

Using simulation to handle implicit likelihoods in a Bayesian analysis

A note on using discretized simulated data to estimate implicit likelihoods in Bayesian analyses

Shane Reese Information

University

Position

___

Citations(all)

3068

Citations(since 2020)

980

Cited By

3060

hIndex(all)

24

hIndex(since 2020)

15

i10Index(all)

36

i10Index(since 2020)

21

Email

University Profile Page

Brigham Young University

Google Scholar

View Google Scholar Profile

Shane Reese Skills & Research Interests

Bayesian methods

reliability

sports Statistics

computer experiments

Top articles of Shane Reese

Title

Journal

Author(s)

Publication Date

Posterior exploration for computationally intensive forward models

Handbook of Markov Chain Monte Carlo

David Higdon

C Shane Reese

J David Moulton

Jasper A Vrugt

Colin Fox

2011/5/10

Becoming BYU: An Inaugural Response

address delivered at his inauguration as BYU president

C Shane Reese

2023/9/19

Quick to Observe

BYU university conference address

C Shane Reese

2023/8/28

Becoming New Creatures

BYU university conference faculty session address

C Shane Reese

2022/8

On the Uniqueness of BYU

BYU university conference faculty session address

C Shane Reese

2021/8

Template priors in Bayesian curve registration

Technometrics

W Zachary Horton

Garritt L Page

C Shane Reese

Lindsey K Lepley

McKenzie White

2021/10/2

Using simulation to handle implicit likelihoods in a Bayesian analysis

Quality Engineering

MS Hamada

TL Graves

NW Hengartner

DM Higdon

AV Huzurbazar

...

2020/12/24

A note on using discretized simulated data to estimate implicit likelihoods in Bayesian analyses

arXiv preprint arXiv:2008.02926

MS Hamada

TL Graves

NW Hengartner

DM Higdon

AV Huzurbazar

...

2020/8/7

See List of Professors in Shane Reese University(Brigham Young University)

Co-Authors

H-index: 110
David J. McComas

David J. McComas

Princeton University

H-index: 65
Vidvuds Ozolins

Vidvuds Ozolins

Yale University

H-index: 50
Dave Higdon

Dave Higdon

Virginia Polytechnic Institute and State University

H-index: 39
Gus L. W. Hart

Gus L. W. Hart

Brigham Young University

H-index: 38
Tony Martinez

Tony Martinez

Brigham Young University

H-index: 26
Colin Fox

Colin Fox

University of Otago

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