E-LIB Suche - Ergebnisse für: Faming, Liang

1

Contributors:

, In: Handbook of Latent Variable and Related Models,

Yasuo, Amemiya ; Bentler, Peter M. ; Ken, Bollen... - p. XV-XVI , 2007

2

Dynamic Weighting in Monte Carlo and Optimization:

Wing Hung Wong ; Faming Liang
Proceedings of the National Academy of Sciences of the United States of America. 94 (1997) 26 - p. 14220-14224 , 1997

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

3

Factors affecting-planned prices and the objective basis of..:

, In: Social sciences in China / Chinese Academy of Social Sciences

Ma, Kai ; Faming, Liang. (1984) 2 - p. 55-82

Exemplare: Zentrale; TB Wirtschaft;

4

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/..

5

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/..

6

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

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

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

7

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/..

8

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/..

9

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/..

10

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/..

11

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/..

12

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/..

13

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/..

14

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/..

15

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/..