Todd Kuffner

Todd Kuffner

Washington University in St. Louis

H-index: 8

North America-United States

About Todd Kuffner

Todd Kuffner, With an exceptional h-index of 8 and a recent h-index of 7 (since 2020), a distinguished researcher at Washington University in St. Louis, specializes in the field of Mathematical Statistics, Higher-Order Asymptotics, Post-Selection Inference, Bootstrap, Philosophy of Science.

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

On model selection criteria for climate change impact studies

Online Bootstrap Inference with Nonconvex Stochastic Gradient Descent Estimator

Post-selection inference

Modeling autosomal dominant Alzheimer's disease with machine learning

Bayesian inference on volatility in the presence of infinite jump activity and microstructure noise

Conditional Randomization Rank Test

Block bootstrap optimality and empirical block selection for sample quantiles with dependent data

On the validity of the formal Edgeworth expansion for posterior densities

Todd Kuffner Information

University

Position

Associate Professor of Mathematics and Statistics

Citations(all)

217

Citations(since 2020)

180

Cited By

103

hIndex(all)

8

hIndex(since 2020)

7

i10Index(all)

7

i10Index(since 2020)

5

Email

University Profile Page

Google Scholar

Todd Kuffner Skills & Research Interests

Mathematical Statistics

Higher-Order Asymptotics

Post-Selection Inference

Bootstrap

Philosophy of Science

Top articles of Todd Kuffner

Title

Journal

Author(s)

Publication Date

On model selection criteria for climate change impact studies

Journal of Econometrics

Xiaomeng Cui

Bulat Gafarov

Dalia Ghanem

Todd Kuffner

2024/2/1

Online Bootstrap Inference with Nonconvex Stochastic Gradient Descent Estimator

arXiv preprint arXiv:2306.02205

Yanjie Zhong

Todd Kuffner

Soumendra Lahiri

2023/6/3

Post-selection inference

Arun K Kuchibhotla

John E Kolassa

Todd A Kuffner

2022/3/7

Modeling autosomal dominant Alzheimer's disease with machine learning

Alzheimer's & Dementia

Patrick H Luckett

Austin McCullough

Brian A Gordon

Jeremy Strain

Shaney Flores

...

2021/6

Bayesian inference on volatility in the presence of infinite jump activity and microstructure noise

Qi Wang

José E Figueroa-López

Todd A Kuffner

2021/1/1

Conditional Randomization Rank Test

arXiv preprint arXiv:2112.00258

Yanjie Zhong

Todd Kuffner

Soumendra Lahiri

2021/12/1

Block bootstrap optimality and empirical block selection for sample quantiles with dependent data

Biometrika

TA Kuffner

SMS Lee

GA Young

2021/9/1

On the validity of the formal Edgeworth expansion for posterior densities

John E Kolassa

Todd A Kuffner

2020/8/1

See List of Professors in Todd Kuffner University(Washington University in St. Louis)

Co-Authors

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