2022 |
Statistics inference in neural network when the sample size is small |
Hui-Nien Hung |
Principal Investigator |
2022.08 ~ 2024.02 |
National Science and Technology Council |
2020 |
Statistical inference in Neural Network |
Hui-Nien Hung |
Principal Investigator |
2020.08 ~ 2022.07 |
Ministry of Science and Technology |
2019 |
Test of high dimensional mean |
Hui-Nien Hung |
Principal Investigator |
2019.08 ~ 2020.07 |
Ministry of Science and Technology |
2018 |
Hotelling T |
Hui-Nien Hung |
Principal Investigator |
2018.08 ~ 2019.07 |
Ministry of Science and Technology |
2017 |
Hotelling's T Statistic in High dimensional data |
Hui-Nien Hung |
Principal Investigator |
2017.08 ~ 2018.07 |
Ministry of Science and Technology |
2016 |
Methods of Variables selection in high dimensional data |
Hui-Nien Hung |
Principal Investigator |
2016.08 ~ 2017.07 |
Ministry of Science and Technology |
2015 |
Variables selection for high dimensional data |
Hui-Nien Hung |
Principal Investigator |
2015.08 ~ 2016.07 |
Ministry of Science and Technology |
2014 |
Variable selection and prediction for high-dimensional data |
Hui-Nien Hung |
Principal Investigator |
2014.08 ~ 2015.07 |
Ministry of Science and Technology |
2013 |
Weighted Markov Chain Monte Carlo method on continuous sapce |
Hui-Nien Hung |
Principal Investigator |
2013.08 ~ 2014.07 |
National Science Council |
2012 |
Advance Weighted Markov Chain Monte Carlo Method |
Hui-Nien Hung |
Principal Investigator |
2012.08 ~ 2013.07 |
National Science Council |
2011 |
Weighted Markov Chain Monte Carlo Method |
Hui-Nien Hung |
Principal Investigator |
2011.08 ~ 2012.07 |
National Science Council |
2010 |
Bayesian methods in small n large p problems |
Hui-Nien Hung |
Principal Investigator |
2010.08 ~ 2011.07 |
National Science Council |
2008 |
variables selection with small sample size and large number of parameters |
Hui-Nien Hung |
Principal Investigator |
2008.08 ~ 2010.07 |
National Science Council |
2006 |
The Bayesian Infrernce and weighted frequentist Inference |
Hui-Nien Hung |
Principal Investigator |
2006.08 ~ 2008.07 |
National Science Council |
2005 |
Correlated M/M/n/n, M/G/n/n and G/G/n/n Processes and Their Application(II) |
Hui-Nien Hung |
Principal Investigator |
2005.08 ~ 2006.07 |
National Science Council |
2004 |
Correlated M/M/n/n, M/G/n/n and G/G/n/n Processes and Their Application(I) |
Hui-Nien Hung |
Principal Investigator |
2004.08 ~ 2005.07 |
National Science Council |
2003 |
The Inconsistence of Conditional Inference(II) |
Hui-Nien Hung |
Principal Investigator |
2003.08 ~ 2004.07 |
National Science Council |
2002 |
The Inconsistence of Conditional Inference(I) |
Hui-Nien Hung |
Principal Investigator |
2002.08 ~ 2003.07 |
National Science Council |
2001 |
The Geometric Structure of Statistical Model under Hellinger Distance and Related Estimate Methods(II) |
Hui-Nien Hung |
Principal Investigator |
2001.08 ~ 2002.07 |
National Science Council |
2000 |
The Geometric Structure of Statistical Model under Hellinger Distance and Related Estimate Methods(I) |
Hui-Nien Hung |
Principal Investigator |
2000.08 ~ 2001.07 |
National Science Council |
2000 |
The Relationship between Likelihood Ratio Statistic and Convergence of the Hellinger Distance |
Hui-Nien Hung |
Principal Investigator |
1999.08 ~ 2000.07 |
National Science Council |
1999 |
Geometric Understanding of Likelihood Ratio |
Hui-Nien Hung |
Principal Investigator |
1998.08 ~ 1999.07 |
National Science Council |
1998 |
What is Noninformative Statistics and How to Eliminate the Nuisance Parameter |
Hui-Nien Hung |
Principal Investigator |
1997.08 ~ 1998.07 |
National Science Council |