Results 131 to 140 of about 160,280 (251)

Testing Exogeneity of Multinomial Regressors in Count Data Models: Does Two-stage Residual Inclusion Work? [PDF]

, 2016
Andrea Geraci, Daniele Fabbri, Chiara Monfardini   +2 more
openalex   +1 more source

Customer Retention: Behaviour Perspective Model of Ghanaian Telecommunication Industry Using Multinomial Regression Analysis

, 2022
Nelson Doe Dzivor, Frank B. K. Twenefour, Emmanuel Mensah Baah, Mathias Gyamfi   +3 more
openalex   +2 more sources

Variational Inference in Nonconjugate Models

, 2013
Mean-field variational methods are widely used for approximate posterior inference in many probabilistic models. In a typical application, mean-field methods approximately compute the posterior with a coordinate-ascent optimization algorithm.
Blei, David M., Wang, Chong
core  

Determinants of place birth: a multinomial logistic regression and spatial analysis of the Ethiopian mini demographic and health survey data, 2019 [PDF]

, 2022
Temesgen Worku Gudayu
openalex   +1 more source

Improved Dropout for Shallow and Deep Learning

, 2016
Dropout has been witnessed with great success in training deep neural networks by independently zeroing out the outputs of neurons at random. It has also received a surge of interest for shallow learning, e.g., logistic regression.
Gong, Boqing, Li, Zhe, Yang, Tianbao
core  

A Novel Hybrid Learning System Using Modified Breaking Ties Algorithm and Multinomial Logistic Regression for Classification and Segmentation of Hyperspectral Images [PDF]

, 2021
Syed Taimoor Hussain Shah, Shahzad Ahmad Qureshi, Aziz ul Rehman, Syed Adil Hussain Shah, Arslan Amjad, Adil Aslam Mir, Amal Alqahtani, D.A. Bradley, Mayeen Uddin Khandaker, Mohammad Rashed Iqbal Faruque, Muhammad Rafique   +10 more
openalex   +1 more source

Settlement Intention of Foreign Workers in Japan: Bayesian Multinomial Logistic Regression Analysis

Economies
This study examines the intentions of foreign workers living in Okayama, Japan, to stay long-term in Japan. Utilizing a Bayesian multinomial logistic regression model, this research provides a novel analytical approach that captures parameter uncertainty
Mi Moe Thuzar, Shyam Kumar Karki, Andi Holik Ramdani, Waode Hanifah Istiqomah, Tokiko Inoue, Chukiat Chaiboonsri   +5 more
doaj   +1 more source

Comparison of the accuracy of beta-binomial, multinomial, dirichlet-multinomial, and ordinal regression in modelling quality of life data

Journal of Biostatistics and Epidemiology, 2018
Background & Aim: Questionnaires are used mostly as a tool in medical research. Due to the different varieties of questionnaires, we may face different score distributions. In many cases multiple linear regression assumptions are violated.
Ali Ghanbari, Mir Saeed Yekaninejad, Amir Pakpour, Sobhan Sanjari, Keramat Nourijelyani   +4 more
doaj  

Ordered multinomial regression for genetic association analysis of ordinal phenotypes at Biobank scale. [PDF]

Genet Epidemiol, 2020
German CA, Sinsheimer JS, Klimentidis YC, Zhou H, Zhou JJ.   +4 more
europepmc   +1 more source

Topic Models Conditioned on Arbitrary Features with Dirichlet-multinomial Regression

, 2012
Although fully generative models have been successfully used to model the contents of text documents, they are often awkward to apply to combinations of text data and document metadata.
McCallum, Andrew, Mimno, David
core