A strong converse bound for multiple hypothesis testing, with applications to high-dimensional estimation

High Dimensional ◽

Multiple Hypothesis ◽

Strong Converse

Fault classification for high‐dimensional data streams: A directional diagnostic framework based on multiple hypothesis testing

Naval Research Logistics (NRL) ◽

10.1002/nav.22008 ◽

2021 ◽

Author(s):

Dongdong Xiang ◽

Wendong Li ◽

Fugee Tsung ◽

Xiaolong Pu ◽

Yicheng Kang

Keyword(s):

Hypothesis Testing ◽

Data Streams ◽

High Dimensional Data ◽

Fault Classification ◽

High Dimensional ◽

Multiple Hypothesis ◽

Diagnostic Framework

Proceedings of the 2019 2nd International Conference on Mathematics and Statistics - ICoMS'19 ◽

Estimation and Use of Correlation in Multiple Hypothesis Testing with High Dimensional Data

10.1145/3343485.3343489 ◽

2019 ◽

Author(s):

Pianpool Kirdwichai

Keyword(s):

Hypothesis Testing ◽

High Dimensional Data ◽

High Dimensional ◽

EU ETS Market Interactions: A Multiple Hypothesis Testing Approach

SSRN Electronic Journal ◽

10.2139/ssrn.2161246 ◽

2012 ◽

Author(s):

Mark Cummins

Keyword(s):

Hypothesis Testing ◽

Eu Ets ◽

Market Interactions ◽

Multiple Hypothesis ◽

Testing Approach ◽

Hypothesis Testing Approach

An algorithm for construction of multiple hypothesis testing

Computational Statistics ◽

10.1007/s001800100057 ◽

2001 ◽

Vol 16 (1) ◽

pp. 165-171 ◽

Cited By ~ 7

Author(s):

Koon-Shing Kwong

Keyword(s):

Hypothesis Testing ◽

Least Conservative Critical Boundaries of Multiple Hypothesis Testing in a Range of Correlation Values

Statistics in Biopharmaceutical Research ◽

10.1080/19466315.2021.1873842 ◽

2021 ◽

pp. 1-9

Author(s):

Jiangtao Gou

Keyword(s):

Hypothesis Testing ◽

MULTIPLE HYPOTHESIS TESTING AND THE DECLINING-POPULATION PARADIGM IN STELLER SEA LIONS

Ecological Applications ◽

10.1890/07-1254.1 ◽

2008 ◽

Vol 18 (8) ◽

pp. 1932-1955 ◽

Cited By ~ 22

Author(s):

Nicholas Wolf ◽

Marc Mangel

Keyword(s):

Hypothesis Testing ◽

Steller Sea Lions ◽

Sea Lions ◽

Blind Source Separation in the Time-Frequency Domain Based on Multiple Hypothesis Testing

IEEE Transactions on Signal Processing ◽

10.1109/tsp.2007.914316 ◽

2008 ◽

Vol 56 (6) ◽

pp. 2267-2279 ◽

Cited By ~ 10

Author(s):

L. Cirillo ◽

A. Zoubir ◽

M. Amin

Keyword(s):

Hypothesis Testing ◽

Frequency Domain ◽

Blind Source Separation ◽

Source Separation ◽

Time Frequency ◽

System identification by sequential multiple hypothesis testing

10.1109/cdc.1977.271538 ◽

1977 ◽

Author(s):

H. Nebeker ◽

R. Tomanek ◽

D. Wiberg

Keyword(s):

System Identification ◽

Hypothesis Testing ◽

Genome-wide association studies of rheumatoid arthritis data via multiple hypothesis testing methods for correlated tests

BMC Proceedings ◽

10.1186/1753-6561-3-s7-s38 ◽

2009 ◽

Vol 3 (Suppl 7) ◽

pp. S38 ◽

Cited By ~ 4

Author(s):

Guolian Kang ◽

Douglas K Childers ◽

Nianjun Liu ◽

Kui Zhang ◽

Guimin Gao

Keyword(s):

Rheumatoid Arthritis ◽

Hypothesis Testing ◽

Association Studies ◽

Genome Wide Association ◽

Genome Wide Association Studies ◽

Testing Methods ◽

Multiple Hypothesis ◽

Genome Wide ◽

Rheumatoid Arthritis Data

An artificial neural network-based critical values for multiple hypothesis testing: data-snooping case

Survey Review ◽

10.1080/00396265.2021.1968176 ◽

2021 ◽

pp. 1-16

Author(s):

Vinicius Francisco Rofatto ◽

Marcelo Tomio Matsuoka ◽

Ivandro Klein ◽

Maria Luísa Silva Bonimani ◽

Bruno Póvoa Rodrigues ◽

...

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Hypothesis Testing ◽

Critical Values ◽

Data Snooping ◽

Multiple Hypothesis ◽

Testing Data ◽

Artificial Neural