Essick, Reed, Godwin, Patrick, Hanna, Chad, Blackburn, Lindy, and Katsavounidis, Erik. iDQ: Statistical inference of non-gaussian noise with auxiliary degrees of freedom in gravitational-wave detectors. Machine Learning: Science and Technology 2.1 Web. doi:10.1088/2632-2153/abab5f.

Essick, Reed, Godwin, Patrick, Hanna, Chad, Blackburn, Lindy, & Katsavounidis, Erik. iDQ: Statistical inference of non-gaussian noise with auxiliary degrees of freedom in gravitational-wave detectors. Machine Learning: Science and Technology, 2 (1). https://doi.org/10.1088/2632-2153/abab5f

Essick, Reed, Godwin, Patrick, Hanna, Chad, Blackburn, Lindy, and Katsavounidis, Erik. "iDQ: Statistical inference of non-gaussian noise with auxiliary degrees of freedom in gravitational-wave detectors". Machine Learning: Science and Technology 2 (1). Country unknown/Code not available: IOP Publishing. https://doi.org/10.1088/2632-2153/abab5f. https://par.nsf.gov/biblio/10204248.

@article{osti_10204248,
place = {Country unknown/Code not available}, title = {iDQ: Statistical inference of non-gaussian noise with auxiliary degrees of freedom in gravitational-wave detectors}, url = {https://par.nsf.gov/biblio/10204248}, DOI = {10.1088/2632-2153/abab5f}, abstractNote = {Not Available}, journal = {Machine Learning: Science and Technology}, volume = {2}, number = {1}, publisher = {IOP Publishing}, author = {Essick, Reed and Godwin, Patrick and Hanna, Chad and Blackburn, Lindy and Katsavounidis, Erik}, }