E-LIB Suche - Ergebnisse für: Kowal, Daniel R.

1

Evaluating integration of letter fragments through contrast..:

Zhang, Sherry ; Morrison, Jack ; Sun, Thomas..
Journal of Vision. 24 (2024) 6 - p. 9 , 2024

Link: https://doi.org/10.1167/..

2

Ultra-Efficient MCMC for Bayesian Longitudinal Functional D..:

Sun, Thomas Y. ; Kowal, Daniel R.
Journal of Computational and Graphical Statistics. , 2024

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

3

Dynamic and robust Bayesian graphical models:

Liu, Chunshan ; Kowal, Daniel R. ; Vannucci, Marina
Statistics and Computing. 32 (2022) 6 - p. , 2022

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

4

Data Science in Science: Special Issue on Data Science in M..:

Getmansky Sherman, Mila ; Tsay, Ruey S. ; Chen, Rong...
Data Science in Science. 1 (2022) 1 - p. 3-4 , 2022

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

5

Subset Selection for Linear Mixed Models:

Kowal, Daniel R.
Biometrics. 79 (2022) 3 - p. 1853-1867 , 2022

Link: https://doi.org/10.1111/..

6

Sex‐dependent correlates of arterial stiffness in Tanzanian..:

Karand, Julie C. ; Reis, Karl ; Stephano, Ponsiano F....
Tropical Medicine & International Health. 26 (2021) 11 - p. 1494-1502 , 2021

Link: https://doi.org/10.1111/..

7

Bayesian variable selection for understanding mixtures in e..:

Kowal, Daniel R. ; Bravo, Mercedes ; Leong, Henry...
Statistics in Medicine. 40 (2021) 22 - p. 4850-4871 , 2021

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

8

Semiparametric Count Data Regression for Self-Reported Ment..:

Kowal, Daniel R. ; Wu, Bohan
Biometrics. 79 (2021) 2 - p. 1520-1533 , 2021

Link: https://doi.org/10.1111/..

9

Fast, Optimal, and Targeted Predictions Using Parameterized..:

Kowal, Daniel R.
Journal of the American Statistical Association. 117 (2021) 540 - p. 1875-1886 , 2021

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

10

Bayesian Function-on-Scalars Regression for High-Dimensiona..:

Kowal, Daniel R. ; Bourgeois, Daniel C.
Journal of Computational and Graphical Statistics. 29 (2020) 3 - p. 629-638 , 2020

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

11

Nonlinear state-space modeling approaches to real-time auto..:

Miao, Yinsen ; Kowal, Daniel R. ; Panchal, Neilkunal..
Journal of Petroleum Science and Engineering. 189 (2020) - p. 107025 , 2020

Link: https://doi.org/10.1016/..

12

Stochastic clustering and pattern matching for real-time ge..:

Wu, Mingqi ; Miao, Yinsen ; Panchal, Neilkunal...
GEOPHYSICS. 84 (2019) 5 - p. ID13-ID24 , 2019

Link: https://doi.org/10.1190/..

13

Dynamic Shrinkage Processes:

Kowal, Daniel R. ; Matteson, David S. ; Ruppert, David
Journal of the Royal Statistical Society Series B: Statistical Methodology. 81 (2019) 4 - p. 781-804 , 2019

Link: https://doi.org/10.1111/..

14

Dynamic shrinkage processes:

Kowal, Daniel R. ; Matteson, David S. ; Ruppert, David
Journal of the Royal Statistical Society. Series B (Statistical Methodology). 81 (2019) 4 - p. 781-804 , 2019

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

15

Integer-Valued Functional Data Analysis for Measles Forecas..:

Kowal, Daniel R.
Biometrics. 75 (2019) 4 - p. 1321-1333 , 2019

Link: https://doi.org/10.1111/..