E-LIB Suche - Ergebnisse für: LIANG, Faming

1

Deep network embedding with dimension selection:

Dong, Tianning ; Sun, Yan ; Liang, Faming
Neural Networks. 179 (2024) - p. 106512 , 2024

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

2

Time‐varying dynamic Bayesian network learning for an fMRI ..:

Sun, Lizhe ; Zhang, Aiying ; Liang, Faming
Statistics in Medicine. 43 (2024) 14 - p. 2713-2733 , 2024

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

3

An extended Langevinized ensemble Kalman filter for non-Gau..:

Zhang, Peiyi ; Dong, Tianning ; Liang, Faming
Computational Statistics. , 2023

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

4

An adaptively weighted stochastic gradient MCMC algorithm f..:

Deng, Wei ; Lin, Guang ; Liang, Faming
Statistics and Computing. 32 (2022) 4 - p. , 2022

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

5

A Stochastic Approximation-Langevinized Ensemble Kalman Fil..:

Dong, Tianning ; Zhang, Peiyi ; Liang, Faming
Journal of Computational and Graphical Statistics. 32 (2022) 2 - p. 448-469 , 2022

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

6

A Kernel-Expanded Stochastic Neural Network:

Sun, Yan ; Liang, Faming
Journal of the Royal Statistical Society Series B: Statistical Methodology. 84 (2022) 2 - p. 547-578 , 2022

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

7

Learning sparse deep neural networks with a spike-and-slab ..:

Sun, Yan ; Song, Qifan ; Liang, Faming
Statistics & Probability Letters. 180 (2022) - p. 109246 , 2022

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

8

Nearly optimal Bayesian shrinkage for high-dimensional regr..:

Song, Qifan ; Liang, Faming
Science China Mathematics. 66 (2022) 2 - p. 409-442 , 2022

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

9

Markov neighborhood regression for statistical inference of..:

Sun, Lizhe ; Liang, Faming
Statistics in Medicine. 41 (2022) 20 - p. 4057-4078 , 2022

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

10

Markov Neighborhood Regression for High-Dimensional Inferen..:

Liang, Faming ; Xue, Jingnan ; Jia, Bochao
Journal of the American Statistical Association. 117 (2021) 539 - p. 1200-1214 , 2021

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

11

Consistent Sparse Deep Learning: Theory and Computation:

Sun, Yan ; Song, Qifan ; Liang, Faming
Journal of the American Statistical Association. 117 (2021) 540 - p. 1981-1995 , 2021

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

12

Identification of factors impacting on the transmission and..:

Zhang, Peiyi ; Dong, Tianning ; Li, Ninghui.
Journal of Applied Statistics. 50 (2021) 11-12 - p. 2624-2647 , 2021

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

13

PURE: A Framework for Analyzing Proximity-based Contact Tra..:

Cicala, Fabrizio ; Wang, Weicheng ; Wang, Tianhao...
ACM Computing Surveys. 55 (2021) 1 - p. 1-36 , 2021

Link: https://doi.org/10.1145/..

14

Stochastic gradient Langevin dynamics with adaptive drifts:

Kim, Sehwan ; Song, Qifan ; Liang, Faming
Journal of Statistical Computation and Simulation. 92 (2021) 2 - p. 318-336 , 2021

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

15

Stochastic approximation Hamiltonian Monte Carlo:

Yun, Jonghyun ; Shin, Minsuk ; Hoon Jin, Ick.
Journal of Statistical Computation and Simulation. 90 (2020) 17 - p. 3135-3156 , 2020

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