David Olive

About David Olive

David Olive, With an exceptional h-index of 20 and a recent h-index of 15 (since 2020), a distinguished researcher at Southern Illinois University Carbondale, specializes in the field of Prediction, Regression, Robust Statistics, Statistics.

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

Calibrating and Visualizing Some Bootstrap Confidence Regions

Testing with the One Component Partial Least Squares and the Marginal Maximum Likelihood Estimators

Predicting Random Walks and a Data-Splitting Prediction Region

Wald type tests with the wrong dispersion matrix

Probability and Measure

Some Simple High Dimensional One Sample Tests

One component partial least squares, high dimensional regression, data splitting, and the multitude of models

High Dimensional Binary Regression and Classification

David Olive Information

University

Position

Professor of Mathematics

Citations(all)

1945

Citations(since 2020)

826

Cited By

1399

hIndex(all)

20

hIndex(since 2020)

15

i10Index(all)

36

i10Index(since 2020)

19

Email

University Profile Page

Google Scholar

David Olive Skills & Research Interests

Prediction

Regression

Robust Statistics

Statistics

Top articles of David Olive

Title

Journal

Author(s)

Publication Date

Calibrating and Visualizing Some Bootstrap Confidence Regions

WA Dhanushka M Welagedara

David J Olive

2024/1/15

Testing with the One Component Partial Least Squares and the Marginal Maximum Likelihood Estimators

David J Olive

Abdulaziz Alshammari

2024/4/1

Predicting Random Walks and a Data-Splitting Prediction Region

Stats

Mulubrhan G Haile

Lingling Zhang

David J Olive

2024/1/8

Wald type tests with the wrong dispersion matrix

Communications in Statistics-Theory and Methods

Kosman WGDH Rajapaksha

David J Olive

2024/3/18

Probability and Measure

David J Olive

2024/2/2

Some Simple High Dimensional One Sample Tests

Ahlam M Abid

David J Olive

2024/1/18

One component partial least squares, high dimensional regression, data splitting, and the multitude of models

Communications in Statistics-Theory and Methods

David J. Olive

Lingling Zhang

2024/1/18

High Dimensional Binary Regression and Classification

David J Olive

2023/2/17

Bootstrapping ARMA time series models after model selection

Communications in Statistics-Theory and Methods

Mulubrhan G Haile

David J Olive

2023/11/17

Large Sample Theory for Some Ridge-Type Regression Estimators

Yu Jin

David J Olive

2023/7/12

Bootstrapping some GLM and survival regression variable selection estimators

Communications in Statistics-Theory and Methods

Rasanji C Rathnayake

David J Olive

2023/4/18

Data Splitting Inference

Lingling Zhang

2022

Stochastic Processes with R: An Introduction: by O. Korosteleva, Boca Raton, FL: Chapman and Hall, CRC Press, 2022, x+ 190 pp., $99.95, ISBN 978-1032153735

David J Olive

2022/10/2

A Data Splitting Prediction Region

Lingling Zhang

David J Olive

2022/9/20

Time Series Data Splitting and Outlier Detection

WADM Welagedara

David J Olive

2022/7/26

OPLS regression with IID cases

Unpublished manuscript at http://parker. ad. siu. edu/Olive/ppregiid. pdf

David J Olive

2022/6/30

Comparing six shrinkage estimators with large sample theory and asymptotically optimal prediction intervals

Statistical Papers

Lasanthi CR Pelawa Watagoda

David J Olive

2021/10

Prediction intervals for GLMs, GAMs, and some survival regression models

Communications in Statistics-Theory and Methods

David J Olive

Rasanji C Rathnayake

Mulubrhan G Haile

2021/9/21

Bootstrapping multiple linear regression after variable selection

Statistical Papers

Lasanthi CR Pelawa Watagoda

David J Olive

2021/4

Robust statistics

Elvezio M Ronchetti

Peter J Huber

2009

See List of Professors in David Olive University(Southern Illinois University Carbondale)

Co-Authors

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