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1

Bayesian neural networks for nonlinear time series forecasting

Journal:

Statistics and Computing

Year:

2005

Language:

english

File:

PDF, 305 KB

english, 2005

2

Advanced Markov Chain Monte Carlo Methods (Learning from Past Samples) || The Metropolis-Hastings Algorithm

Liang, Faming, Liu, Chuanhai, Carroll, Raymond J.

Year:

2010

Language:

english

File:

PDF, 1.09 MB

english, 2010

3

Stochastic approximation Monte Carlo importance sampling for approximating exact conditional probabilities

Sooyoung Cheon, Faming Liang, Yuguo Chen, Kai Yu

Journal:

Statistics and Computing

Year:

2014

Language:

english

File:

PDF, 655 KB

english, 2014

4

Annealing stochastic approximation Monte Carlo algorithm for

Journal:

Machine Learning

Year:

2007

Language:

english

File:

PDF, 894 KB

english, 2007

5

The Multiple-Try Method and Local Optimization in Metropolis Sampling

Liu, Jun S., Liang, Faming, Wong, Wing Hung

Journal:

Journal of the American Statistical Association

Year:

2000

Language:

english

File:

PDF, 1.49 MB

english, 2000

6

Stochastic Approximation in Monte Carlo Computation

Faming Liang, Chuanhai Liu and Raymond J. Carroll

Journal:

Journal of the American Statistical Association

Year:

2007

Language:

english

File:

PDF, 2.89 MB

english, 2007

7

An Overview of Stochastic Approximation Monte Carlo

Journal:

Wiley Interdisciplinary Reviews: Computational Statistics

Year:

2014

Language:

english

File:

PDF, 1.04 MB

english, 2014

8

A Monte Carlo Metropolis-Hastings Algorithm for Sampling from Distributions with Intractable Normalizing Constants

Liang, Faming, Jin, Ick-Hoon

Journal:

Neural Computation

Year:

2013

Language:

english

File:

PDF, 880 KB

english, 2013

9

Double-Parallel Monte Carlo for Bayesian analysis of big data

Xue, Jingnan, Liang, Faming

Journal:

Statistics and Computing

Year:

2017

Language:

english

File:

PDF, 648 KB

english, 2017

10

Advanced Markov Chain Monte Carlo Methods (Learning from Past Samples) || The Gibbs Sampler

Liang, Faming, Liu, Chuanhai, Carroll, Raymond J.

Year:

2010

Language:

english

File:

PDF, 1.05 MB

english, 2010

11

Annealing evolutionary stochastic approximation Monte Carlo for

Journal:

Statistics and Computing

Year:

2011

Language:

english

File:

PDF, 906 KB

english, 2011

12

A Resampling-Based Stochastic Approximation Method for Analysis of Large Geostatistical Data

Liang, Faming, Cheng, Yichen, Song, Qifan, Park, Jincheol, Yang, Ping

Journal:

Journal of the American Statistical Association

Year:

2013

Language:

english

File:

PDF, 615 KB

english, 2013

13

High Dimensional Variable Selection with Reciprocal L 1 -Regularization

Song, Qifan, Liang, Faming

Journal:

Journal of the American Statistical Association

Year:

2014

Language:

english

File:

PDF, 470 KB

english, 2014

14

A Bootstrap Metropolis-Hastings Algorithm for Bayesian Analysis of Big Data

Liang, Faming, Kim, Jinsu, Song, Qifan

Journal:

Year:

2016

Language:

english

File:

PDF, 796 KB

english, 2016

15

An Adaptive Exchange Algorithm for Sampling from Distributions with Intractable Normalizing Constants

Liang, Faming, Jin, Ick Hoon, Song, Qifan, Liu, Jun S.

Journal:

Journal of the American Statistical Association

Year:

2015

Language:

english

File:

PDF, 496 KB

english, 2015

16

Profiling of human gut virome with oxford nanopore technology

Cao, Jiabao, Zhang, Yuqing, Dai, Min, Xu, Jiayue, Chen, Liang, Zhang, Faming, Zhao, Na, Wang, Jun

Journal:

Medicine in Microecology

Year:

2020

File:

PDF, 1.35 MB

2020

17

Advanced Markov Chain Monte Carlo Methods (Learning from Past Samples) || Bayesian Inference and Markov Chain Monte Carlo

Liang, Faming, Liu, Chuanhai, Carroll, Raymond J.

Year:

2010

Language:

english

File:

PDF, 683 KB

english, 2010

18

Advanced Markov Chain Monte Carlo Methods (Learning from Past Samples) || Dynamic Weighting

Liang, Faming, Liu, Chuanhai, Carroll, Raymond J.

Year:

2010

Language:

english

File:

PDF, 947 KB

english, 2010

19

Efficient MCMC estimation of discrete distributions

Faming Liang, Chuanhai Liu

Journal:

Computational Statistics & Data Analysis

Year:

2005

Language:

english

File:

PDF, 236 KB

english, 2005

20

On the use of stochastic approximation Monte Carlo for Monte Carlo integration

Journal:

Statistics & Probability Letters

Year:

2009

Language:

english

File:

PDF, 626 KB

english, 2009

21

Bayesian modeling of ChIP-chip data using latent variables

Mingqi Wu, Faming Liang, Yanan Tian

Journal:

BMC Bioinformatics

Year:

2009

Language:

english

File:

PDF, 505 KB

english, 2009

22

Convergence of stochastic approximation algorithms under irregular conditions

Jian Zhang, Faming Liang

Journal:

Statistica Neerlandica

Year:

2008

Language:

english

File:

PDF, 516 KB

english, 2008

23

Use of SAMC for Bayesian analysis of statistical models with intractable normalizing constants

Jin, Ick Hoon, Liang, Faming

Journal:

Computational Statistics & Data Analysis

Year:

2014

Language:

english

File:

PDF, 501 KB

english, 2014

24

Dynamic Weighting in Monte Carlo and Optimization

Wing Hung Wong and Faming Liang

Journal:

Proceedings of the National Academy of Sciences

Year:

1997

Language:

english

File:

PDF, 749 KB

english, 1997

25

The Multiple-Try Method and Local Optimization in Metropolis Sampling

Jun S. Liu, Faming Liang and Wing Hung Wong

Journal:

Journal of the American Statistical Association

Year:

2000

Language:

english

File:

PDF, 2.29 MB

english, 2000

26

A Generalized Wang-Landau Algorithm for Monte Carlo Computation

Journal:

Journal of the American Statistical Association

Year:

2005

Language:

english

File:

PDF, 2.13 MB

english, 2005

27

Dynamically Weighted Importance Sampling in Monte Carlo Computation

Journal:

Journal of the American Statistical Association

Year:

2002

Language:

english

File:

PDF, 702 KB

english, 2002

28

Simulated Stochastic Approximation Annealing for Global Optimization With a Square-Root Cooling Schedule

Liang, Faming, Cheng, Yichen, Lin, Guang

Journal:

Journal of the American Statistical Association

Year:

2014

Language:

english

File:

PDF, 645 KB

english, 2014

29

Fitting Social Network Models Using Varying Truncation Stochastic Approximation MCMC Algorithm

Jin, Ick Hoon, Liang, Faming

Journal:

Journal of Computational and Graphical Statistics

Year:

2013

Language:

english

File:

PDF, 1011 KB

english, 2013

30

Annealing contour Monte Carlo algorithm for structure optimization in an off-lattice protein model

Journal:

The Journal of Chemical Physics

Year:

2004

Language:

english

File:

PDF, 374 KB

english, 2004

31

A double Metropolis–Hastings sampler for spatial models with intractable normalizing constants

Journal:

Journal of Statistical Computation and Simulation

Year:

2010

Language:

english

File:

PDF, 727 KB

english, 2010

32

Dynamically Weighted Importance Sampling in Monte Carlo Computation

Journal:

Journal of the American Statistical Association

Year:

2002

Language:

english

File:

PDF, 405 KB

english, 2002

33

Weak Convergence Rates of Population Versus Single-Chain Stochastic Approximation MCMC Algorithms

Song, Qifan, Wu, Mingqi, Liang, Faming

Journal:

Advances in Applied Probability

Year:

2014

Language:

english

File:

PDF, 253 KB

english, 2014

34

Monte Carlo dynamically weighted importance sampling for spatial models with intractable normalizing constants

Liang, Faming, Cheon, Sooyoung

Journal:

Journal of Physics Conference Series

Year:

2009

Language:

english

File:

PDF, 567 KB

english, 2009

35

A split-and-merge Bayesian variable selection approach for ultrahigh dimensional regression

Song, Qifan, Liang, Faming

Journal:

Journal of the Royal Statistical Society Series B (Methodological)

Year:

2015

Language:

english

File:

PDF, 1.01 MB

english, 2015

36

Improving SAMC using smoothing methods: Theory and applications to Bayesian model selection problems

Journal:

The Annals of Statistics

Year:

2009

Language:

english

File:

PDF, 349 KB

english, 2009

37

A Bayesian Generalized Linear Model for Crimean–Congo Hemorrhagic Fever Incidents

Ryu, Duchwan, Bilgili, Devrim, Ergönül, Önder, Liang, Faming, Ebrahimi, Nader

Journal:

Journal of Agricultural, Biological, and Environmental Statistics

Year:

2017

Language:

english

File:

PDF, 11.84 MB

english, 2017

38

Bayesian Neural Networks for Selection of Drug Sensitive Genes

Liang, Faming, Li, Qizhai, Zhou, Lei

Journal:

Journal of the American Statistical Association

Year:

2018

Language:

english

File:

PDF, 1.44 MB

english, 2018

39

Analysis of spatiotemporal trajectories for stops along taxi paths

Huang, Liang, Wen, Yuanqiao, Ye, Xinyue, Zhou, Chunhui, Zhang, Faming, Lee, Jay

Journal:

Spatial Cognition and Computation

Year:

2018

Language:

english

File:

PDF, 2.31 MB

english, 2018

40

Self-Powered Multifunctional Transient Bioelectronics

Zhang, Yujia, Zhou, Zhitao, Fan, Zhen, Zhang, Shaoqing, Zheng, Faming, Liu, Keyin, Zhang, Yulong, Shi, Zhifeng, Chen, Liang, Li, Xinxin, Mao, Ying, Wang, Fei, Sun, Yun-Lu, Tao, Tiger H.

Journal:

Year:

2018

Language:

english

File:

PDF, 2.51 MB

english, 2018

41

High-strength double network polydopamine nanocomposite hydrogel for adhesion under seawater

Liang, Min, He, Chunpeng, Dai, Jidong, Ren, Pengfei, Fu, Yifu, Wang, Faming, Ge, Xin, Zhang, Tianzhu, Lu, Zuhong

Journal:

Journal of Materials Chemistry B

Year:

2020

File:

PDF, 2.27 MB

2020

42

Advanced Markov Chain Monte Carlo Methods (Learning from Past Samples) || Auxiliary Variable MCMC Methods

Liang, Faming, Liu, Chuanhai, Carroll, Raymond J.

Year:

2010

Language:

english

File:

PDF, 792 KB

english, 2010

43

Advanced Markov Chain Monte Carlo Methods (Learning from Past Samples) || Population-Based MCMC Methods

Liang, Faming, Liu, Chuanhai, Carroll, Raymond J.

Year:

2010

Language:

english

File:

PDF, 999 KB

english, 2010

44

Advanced Markov Chain Monte Carlo Methods (Learning from Past Samples) || Stochastic Approximation Monte Carlo

Liang, Faming, Liu, Chuanhai, Carroll, Raymond J.

Year:

2010

Language:

english

File:

PDF, 1.70 MB

english, 2010

45

Advanced Markov Chain Monte Carlo Methods (Learning from Past Samples) || References

Liang, Faming, Liu, Chuanhai, Carroll, Raymond J.

Year:

2010

Language:

english

File:

PDF, 612 KB

english, 2010

46

Advanced Markov Chain Monte Carlo Methods (Learning from Past Samples) || Index

Liang, Faming, Liu, Chuanhai, Carroll, Raymond J.

Year:

2010

Language:

english

File:

PDF, 455 KB

english, 2010

47

Advanced Markov Chain Monte Carlo Methods (Learning from Past Samples) || Markov Chain Monte Carlo with Adaptive Proposals

Liang, Faming, Liu, Chuanhai, Carroll, Raymond J.

Year:

2010

Language:

english

File:

PDF, 698 KB

english, 2010

48

Advanced Markov Chain Monte Carlo Methods (Learning from Past Samples) || Front Matter

Liang, Faming, Liu, Chuanhai, Carroll, Raymond J.

Year:

2010

Language:

english

File:

PDF, 585 KB

english, 2010

49

Longitudinal functional principal component modelling via Stochastic Approximation Monte Carlo

Josue G. Martinez, Faming Liang, Lan Zhou, Raymond J. Carroll

Journal:

Canadian Journal of Statistics

Year:

2010

Language:

english

File:

PDF, 323 KB

english, 2010

50

Determination of normalizing constants for simulated tempering

Journal:

Physica A: Statistical Mechanics and its Applications

Year:

2005

Language:

english

File:

PDF, 281 KB

english, 2005

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