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Machine Learning Based System Identification with Binary Output Data Using Kernel Methods

Journal of Telecommunications and Information Technology
Within the realm of machine learning, kernel methods stand out as a prominent class of algorithms with widespread applications, including but not limited to classification, regression, and identification tasks.
Rachid Fateh, Hicham Oualla, Es-said Azougaghe, Anouar Darif, Ahmed Boumezzough, Said Safi, Mathieu Pouliquen, Miloud Frikel   +7 more
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ACCURACIES IN THE THEORY OF THE LOGISTIC MODELS PRECISIONES EN LA TEORÍA DE LOS MODELOS LOGÍSTICOS

Revista Colombiana de Estadística, 2006
The logistic models are studied, as a kind of generalized lineal models. A theorem is showed about existence and uniqueness of ML-estimates of the estimation of the logistic regression coefficients and the method in order to calculate it. According to an
Llinás Humberto Jesús
doaj  

Binary Regression With a Misclassified Response Variable in Diabetes Data

Iranian Rehabilitation Journal, 2019
Objectives: The categorical data analysis is very important in statistics and medical sciences. When the binary response variable is misclassified, the results of fitting the model will be biased in estimating adjusted odds ratios.
Maryam Rastegar, Enayatollah Bakhshi, Samaneh Hosseinzadeh   +2 more
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A MODEL FOR MIXED CONTINUOUS AND DISCRETE RESPONSES WITH POSSIBILITY OF MISSING RESPONSES [PDF]

Journal of Sciences, Islamic Republic of Iran, 2003
A model for missing data in mixed binary and continuous responses, which can be used on cross-sectional data, is presented. In this model response indicator for the binary response can be dependent on the continuous response.
doaj  

Monotone Confounding, Monotone Treatment Selection and Monotone Treatment Response

Journal of Causal Inference, 2014
Manski (Monotone treatment response. Econometrica 1997;65:1311–34) and Manski and Pepper (Monotone instrumental variables: with an application to the returns to schooling.
Jiang Zhichao, Chiba Yasutaka, VanderWeele Tyler J.   +2 more
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Automated Poisson regression exposure–response analysis for binary outcomes with PoissonERM

CPT: Pharmacometrics & Systems Pharmacology
PoissonERM is an R package used to conduct exposure–response (ER) analysis on binary outcomes for establishing the relationship between exposure and the occurrence of adverse events (AE).
Yuchen Wang, Luke Fostvedt, Jessica Wojciechowski, Donald Irby, Timothy Nicholas   +4 more
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Fast and Accurate Binary Response Mixed Model Analysis Via Expectation Propagation. [PDF]

J Am Stat Assoc, 2020
Hall P, Johnstone IM, Ormerod JT, Wand MP, Yu JCF.   +4 more
europepmc   +1 more source

Partial Least Squares Regression for Binary Data

Mathematics
Classical Partial Least Squares Regression (PLSR) models were developed primarily for continuous data, allowing dimensionality reduction while preserving relationships between predictors and responses. However, their application to binary data is limited.
Laura Vicente-Gonzalez, Elisa Frutos-Bernal, Jose Luis Vicente-Villardon   +2 more
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Bayesian Modeling and Inference for Nonignorably Missing Longitudinal Binary Response Data with Applications to HIV Prevention Trials. [PDF]

Stat Sin, 2018
Wu J, Ibrahim JG, Chen MH, Schifano ED, Fisher JD.   +4 more
europepmc   +1 more source

A separable two-dimensional random field model of binary response data from multi-day behavioral experiments. [PDF]

J Neurosci Methods, 2018
Malem-Shinitski N, Zhang Y, Gray DT, Burke SN, Smith AC, Barnes CA, Ba D.   +6 more
europepmc   +1 more source