Machine Learning and Predicted Returns for Event Studies in Securities Litigation Preliminary and Incomplete

2020 ◽  
Author(s):  
Andrew C. Baker ◽  
Jonah B. Gelbach
Keyword(s):  
Machine Learning ◽  
Event Studies ◽  
Securities Litigation

Machine Learning and Predicted Returns for Event Studies in Securities Litigation

2020 ◽  
Vol 5 (2) ◽  
pp. 231-272
Author(s):  
Andrew Baker ◽  
Jonah B. Gelbach
Keyword(s):  
Machine Learning ◽  
Event Studies ◽  
Securities Litigation

A Bayesian Approach to Event Studies for Securities Litigation

2020 ◽  
Vol 176 (1) ◽  
pp. 86
Author(s):  
Jonah B. Gelbach ◽  
Jenny R. Hawkins
Keyword(s):  
Bayesian Approach ◽  
Event Studies ◽  
Securities Litigation

A Bayesian Approach to Event Studies for Securities Litigation

2020 ◽  
Vol 176 (1) ◽  
pp. 115
Author(s):  
Benjamin R. Baer ◽  
Martin T. Wells
Keyword(s):  
Bayesian Approach ◽  
Event Studies ◽  
Securities Litigation

A Bayesian Approach to Event Studies for Securities Litigation

2020 ◽  
Vol 176 (1) ◽  
pp. 112
Author(s):  
Daniel S. Nagin
Keyword(s):  
Bayesian Approach ◽  
Event Studies ◽  
Securities Litigation

Mind wandering as data augmentation: How mental travel supports abstraction

2020 ◽  
Vol 43 ◽  
Author(s):  
Myrthe Faber
Keyword(s):  
Machine Learning ◽  
Data Augmentation ◽  
Mental Content ◽  
Mind Wandering ◽  
Theoretical Framework ◽  
Important Addition

Abstract Gilead et al. state that abstraction supports mental travel, and that mental travel critically relies on abstraction. I propose an important addition to this theoretical framework, namely that mental travel might also support abstraction. Specifically, I argue that spontaneous mental travel (mind wandering), much like data augmentation in machine learning, provides variability in mental content and context necessary for abstraction.

Machine Learning for Speaker Recognition

2020 ◽  
Author(s):  
Man-Wai Mak ◽  
Jen-Tzung Chien
Keyword(s):  
Machine Learning ◽  
Speaker Recognition

Data Mining and Machine Learning

2020 ◽  
Author(s):  
Mohammed J. Zaki ◽  
Wagner Meira, Jr
Keyword(s):  
Machine Learning ◽  
Data Mining

Mathematics for Machine Learning

2020 ◽  
Author(s):  
Marc Peter Deisenroth ◽  
A. Aldo Faisal ◽  
Cheng Soon Ong
Keyword(s):  
Machine Learning

Phase Transitions in Machine Learning

2009 ◽  
Author(s):  
Lorenza Saitta ◽  
Attilio Giordana ◽  
Antoine Cornuejols
Keyword(s):  
Machine Learning ◽  
Phase Transitions
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