Jacob Bien

Jacob Bien

University of Southern California

H-index: 24

North America-United States

About Jacob Bien

Jacob Bien, With an exceptional h-index of 24 and a recent h-index of 22 (since 2020), a distinguished researcher at University of Southern California, specializes in the field of High-Dimensional Statistics, Statistical Machine Learning, Applied Statistics.

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

Inferring independent sets of Gaussian variables after thresholding correlations

Inference on the proportion of variance explained in principal component analysis

Generative AI for Data Science 101: Coding Without Learning To Code

Selective inference for hierarchical clustering

Predictive modeling of microbial data with interaction effects

Using Probability Density Functions to Evaluate Models (PDFEM, v1. 0) to compare a biogeochemical model with satellite-derived chlorophyll

Predicting rare events by shrinking towards proportional odds

Comparing trained and untrained probabilistic ensemble forecasts of COVID-19 cases and deaths in the United States

Jacob Bien Information

University

Position

Statistics

Citations(all)

3669

Citations(since 2020)

2582

Cited By

2021

hIndex(all)

24

hIndex(since 2020)

22

i10Index(all)

36

i10Index(since 2020)

35

Email

University Profile Page

Google Scholar

Jacob Bien Skills & Research Interests

High-Dimensional Statistics

Statistical Machine Learning

Applied Statistics

Top articles of Jacob Bien

Inferring independent sets of Gaussian variables after thresholding correlations

Journal of the American Statistical Association

2024/3/29

Inference on the proportion of variance explained in principal component analysis

arXiv preprint arXiv:2402.16725

2024/2/26

Generative AI for Data Science 101: Coding Without Learning To Code

arXiv preprint arXiv:2401.17647

2024/1/31

Jacob Bien
Jacob Bien

H-Index: 15

Gourab Mukherjee
Gourab Mukherjee

H-Index: 9

Selective inference for hierarchical clustering

Journal of the American Statistical Association

2024/1/2

Predictive modeling of microbial data with interaction effects

bioRxiv

2024

Jacob Bien
Jacob Bien

H-Index: 15

Using Probability Density Functions to Evaluate Models (PDFEM, v1. 0) to compare a biogeochemical model with satellite-derived chlorophyll

Geoscientific Model Development

2023/8/18

Predicting rare events by shrinking towards proportional odds

2023/7/3

Jacob Bien
Jacob Bien

H-Index: 15

Comparing trained and untrained probabilistic ensemble forecasts of COVID-19 cases and deaths in the United States

International Journal of Forecasting

2023/7/1

Jacob Bien
Jacob Bien

H-Index: 15

Johannes Bracher
Johannes Bracher

H-Index: 6

Identification of microbial metabolic functional guilds from large genomic datasets

Frontiers in Microbiology

2023/6/30

Interactive Exploration of Large Dendrograms with Prototypes

The American Statistician

2023/4/3

Andee Kaplan
Andee Kaplan

H-Index: 3

Jacob Bien
Jacob Bien

H-Index: 15

Generalized data thinning using sufficient statistics

arXiv preprint arXiv:2303.12931

2023/3/22

Modeling cell populations measured by flow cytometry with covariates using sparse mixture of regressions

The annals of applied statistics

2023/3

Sangwon Hyun
Sangwon Hyun

H-Index: 6

Jacob Bien
Jacob Bien

H-Index: 15

Sparse identification and estimation of large-scale vector autoregressive moving averages

Journal of the American Statistical Association

2021

Cluster Stability Selection

arXiv preprint arXiv:2201.00494

2022/1/3

Jacob Bien
Jacob Bien

H-Index: 15

Tree-based node aggregation in sparse graphical models

Journal of Machine Learning Research

2022

Ines Wilms
Ines Wilms

H-Index: 8

Jacob Bien
Jacob Bien

H-Index: 15

Controlling costs: Feature selection on a budget

Stat

2022/12

Prediction Sets for High-Dimensional Mixture of Experts Models

arXiv preprint arXiv:2210.16710

2022/10/30

Adel Javanmard
Adel Javanmard

H-Index: 22

Jacob Bien
Jacob Bien

H-Index: 15

Testing for association in multiview network data

Biometrics

2022/9

Supplementary Materials for Selective Inference for Hierarchical Clustering

2022/8/18

Ocean mover’s distance: using optimal transport for analysing oceanographic data

Proceedings of the Royal Society A

2022/6/29

See List of Professors in Jacob Bien University(University of Southern California)

Co-Authors

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