A Statistically Precise and Relatively Simple Method of Estimating the Bio-Assay with Quantal Response, Based on the Logistic Function

By J. Berkson. 1953

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Statistical Arbitrage in Cryptocurrency Markets (2019, background): “Hence, we have followed Gatev et al. (2006) and representatives of the high-frequency pairs trading literature—see Bowen and Hutchinson (2016); Liu et al. (2017), and only trade (i) when volume is present for a coin and (ii) with a one period gap after signal generation.”
A Survey on the Explainability of Supervised Machine Learning (2020, methodology): “(2015b) ORC Classification Rule-based Bertsimas et al. (2011) BLM Classification Rule-based Letham et al. (2012) BRL Classification Rule-based Letham et al. (2015) (S)BRL Classification Rule-based Yang et al. (2016) FRL Classification Rule-based Wang and Rudin (2015) IDS Classification Rule-based La”
Handbook of Polytomous Item Response Theory Models (2010, methodology): “the theoretical development of the normal ogive model as a psychological response process model as articulated by Lord and Novick (1968), and Birnbaum’s (1968) argument for the substitution of the logistic.”