E-LIB Suche - Ergebnisse für: Wasserman, Larry

1

Universal Inference Meets Random Projections: A Scalable Te..:

Dunn, Robin ; Gangrade, Aditya ; Wasserman, Larry.
Journal of Computational and Graphical Statistics. , 2024

Link: https://doi.org/10.1080/..

2

Interactive identification of individuals with positive tre..:

Duan, Boyan ; Wasserman, Larry ; Ramdas, Aaditya
Journal of Causal Inference. 12 (2024) 1 - p. , 2024

Link: https://doi.org/10.1515/..

3

A Discussion of "A Note on Universal Inference" by Tse and ..:

Wasserman, Larry ; Ramdas, Aaditya ; Balakrishnan, Sivaraman
Stat. 12 (2023) 1 - p. , 2023

Link: https://doi.org/10.1002/..

4

Data Fission: Splitting a Single Data Point:

Leiner, James ; Duan, Boyan ; Wasserman, Larry.
Journal of the American Statistical Association. , 2023

Link: https://doi.org/10.1080/..

5

Heejong Bong, Valerie Ventura and Larry Wasserman's contrib..:

Bong, Heejong ; Ventura, Valérie ; Wasserman, Larry
Journal of the Royal Statistical Society Series A: Statistics in Society. 186 (2023) 4 - p. 645-646 , 2023

Link: https://doi.org/10.1093/..

6

Median regularity and honest inference:

Kuchibhotla, Arun Kumar ; Balakrishnan, Sivaraman ; Wasserman, Larry
Biometrika. 110 (2023) 3 - p. 831-838 , 2023

Link: https://doi.org/10.1093/..

7

The HulC: confidence regions from convex hulls:

Kuchibhotla, Arun Kumar ; Balakrishnan, Sivaraman ; Wasserman, Larry
Journal of the Royal Statistical Society Series B: Statistical Methodology. 86 (2023) 3 - p. 586-622 , 2023

Link: https://doi.org/10.1093/..

8

Gaussian universal likelihood ratio testing:

Dunn, Robin ; Ramdas, Aaditya ; Balakrishnan, Sivaraman.
Biometrika. 110 (2022) 2 - p. 319-337 , 2022

Link: https://doi.org/10.1093/..

9

Prediction for Categorical Data:

, In: Statistics in the Public Interest; Springer Series in the Data Sciences,

Wasserman, Larry - p. 5-14 , 2022

Link: https://doi.org/10.1007/..

10

Distribution-Free Prediction Sets for Two-Layer Hierarchica..:

Dunn, Robin ; Wasserman, Larry ; Ramdas, Aaditya
Journal of the American Statistical Association. 118 (2022) 544 - p. 2491-2502 , 2022

Link: https://doi.org/10.1080/..

11

Can auxiliary indicators improve COVID-19 forecasting and h..:

McDonald, Daniel J. ; Bien, Jacob ; Green, Alden...
Proceedings of the National Academy of Sciences. 118 (2021) 51 - p. , 2021

Link: https://doi.org/10.1073/..

12

ROBUST MULTIVARIATE NONPARAMETRIC TESTS VIA PROJECTION AVER..:

Kim, Ilmun ; Balakrishnan, Sivaraman ; Wasserman, Larry
The Annals of Statistics. 48 (2020) 6 - p. 3417-3441 , 2020

Link: https://www.jstor.org/st..

13

Statistical Methodology and Theory for Functional and Topol..:

Delaigle, Aurore ; Meister, Alexander ; Panaretos, Victor M..
Oberwolfach Reports. 16 (2020) 2 - p. 1697-1735 , 2020

Link: https://doi.org/10.4171/..

14

Universal inference:

Wasserman, Larry ; Ramdas, Aaditya ; Balakrishnan, Sivaraman
Proceedings of the National Academy of Sciences of the United States of America. 117 (2020) 29 - p. 16880-16890 , 2020

Link: https://www.jstor.org/st..

15

Trend filtering – I. A modern statistical tool for time-dom..:

Politsch, Collin A ; Cisewski-Kehe, Jessi ; Croft, Rupert A C.
Monthly Notices of the Royal Astronomical Society. 492 (2020) 3 - p. 4005-4018 , 2020

Link: https://doi.org/10.1093/..