A. Kaul

发表

Household composition and the infant fecal microbiome: The INSPIRE study.

James A. Foster, A. Prentice, L. Bode, 2019, American journal of physical anthropology.

Structural zeros in high‐dimensional data with applications to microbiome studies

S. Peddada, O. Davidov, A. Kaul, 2017, Biostatistics.

Parameter estimation for high dimensional change point regression models without grid search

S. Fotopoulos, V. Jandhyala, A. Kaul, 2018, 1805.03719.

Inference on the change point in high dimensional time series models via plug in least squares

S. Fotopoulos, V. Jandhyala, A. Kaul, 2020, 2007.01888.

Analysis of High Dimensional Compositional Data Containing Structural Zeros with Applications to Microbiome Data

S. Peddada, O. Davidov, A. Kaul, 2016, 1605.06193.

Two Stage Non-penalized Corrected Least Squares for High Dimensional Linear Models with Measurement error or Missing Covariates

S. Lahiri, H. Koul, A. Kaul, 2016, 1605.03154.

Confidence bands for coefficients in high dimensional linear models with error-in-variables

A. Belloni, V. Chernozhukov, A. Kaul, 2017, 1703.00469.

Detection and estimation of parameters in high dimensional multiple change point regression models via $\ell_1/\ell_0$ regularization and discrete optimization

S. Fotopoulos, V. Jandhyala, A. Kaul, 2019, 1906.04396.

Inference on the change point under a high dimensional sparse mean shift

Venkata K. Jandhyala, Stergios B. Fotopoulos, Abhishek Kaul, 2021 .

Weighted ℓ1-penalized corrected quantile regression for high dimensional measurement error models

Hira L. Koul, Abhishek Kaul, H. Koul, 2015, J. Multivar. Anal..

Lasso with long memory regression errors

A. Kaul, 2014 .

Inference on the Change Point in High Dimensional Dynamic Graphical Models

A. Kaul, Hongjing Zhang, K. Tsampourakis, 2020, 2005.09711.

Analysis of Microbiome Data in the Presence of Excess Zeros

Shyamal D. Peddada, Ori Davidov, Abhishek Kaul, 2017, Front. Microbiol..

Segmentation of high dimensional means over multi-dimensional change points and connections to regression trees

Abhishek Kaul, A. Kaul, 2021, 2105.10017.

Inference for Change Points in High Dimensional Mean Shift Models

George Michailidis, Abhishek Kaul, G. Michailidis, 2021, Statistica Sinica.

An Efficient Two Step Algorithm for High Dimensional Change Point Regression Models Without Grid Search

Venkata K. Jandhyala, Stergios B. Fotopoulos, Abhishek Kaul, 2018, J. Mach. Learn. Res..

Pivotal Estimation Via Self-Normalization for High-Dimensional Linear Models with Errors in Variables

Victor Chernozhukov, Abhishek Kaul, Alexandre B. Tsybakov, 2017, 1708.08353.

Virtual Assistants and Ethical Implications

A. Kaul, 2021, Virtual Assistant.

Inference on the Change Point under a High Dimensional Covariance Shift

G. Michailidis, A. Kaul, Hongjin Zhang, 2023, J. Mach. Learn. Res..

Household composition and the infant fecal microbiome: The INSPIRE study.

James A. Foster, A. Prentice, L. Bode, 2019, American journal of physical anthropology.

Multiple change‐point models for time series

S. Fotopoulos, V. Jandhyala, A. Kaul, 2019, Environmetrics.

Inference on the change point with the jump size near the boundary of the region of detectability in high dimensional time series models.

S. Fotopoulos, V. Jandhyala, A. Kaul, 2019, 1909.08101.