Results 71 to 80 of about 4,831,865 (201)

Hierarchical Multinomial Latent Model With G⁰ Distribution for Synthetic Aperture Radar Image Semantic Segmentation

IEEE Access, 2018
This paper presents a hierarchical multinomial latent model with G0 distribution for synthetic aperture radar (SAR) image semantic segmentation. The model considers the scattering statistics and multiscale characteristics of the SAR images. Specifically,
Yiping Duan, Xiaoming Tao, Mai Xu, Xiaowei Qin, Ren Yang, Chaoyi Han, Jianhua Lu   +6 more
doaj   +1 more source

Multinomial Distribution [PDF]

, 2020
Rajan Chattamvelli, Ramalingam Shanmugam
openaire   +2 more sources

Testing for IIA with the Hausman-McFadden Test [PDF]

The Independence of Irrelevant Alternatives assumption inherent in multinomial logit models is most frequently tested with a Hausman-McFadden test. As is confirmed by many findings in the literature, this test sometimes produces negative outcomes, in ...
Vijverberg, Wim P.
core  

Ridge Estimation for Multinomial Logit Models with Symmetric Side Constraints [PDF]

, 2009
In multinomial logit models, the identifiability of parameter estimates is typically obtained by side constraints that specify one of the response categories as reference category.
Tutz, Gerhard, Zahid, Faisal Maqbool
core   +1 more source

Interactive R App for Carrying Out an Elicitation Process Applied to Prostate Cancer in Colombia [PDF]

Revista Română de Statistică, 2015
In this paper is presented an interactive R-application for carried out an elicitation process to the vector of parameters of the Multinomial distribution. The application is developed mainly under two R libraries, Shiny and RSQLite.
Andrés Felipe Flórez Rivera, Juan Carlos Correa Morales, Manuel García Flórez   +2 more
doaj  

Understanding frequency distributions of path-dependent processes with non-multinomial maximum entropy approaches

New Journal of Physics, 2017
Path-dependent stochastic processes are often non-ergodic and observables can no longer be computed within the ensemble picture. The resulting mathematical difficulties pose severe limits to the analytical understanding of path-dependent processes. Their
Rudolf Hanel, Bernat Corominas-Murtra, Stefan Thurner   +2 more
doaj   +1 more source

Bayesian estimation of the orthogonal decomposition of a contingency table

Austrian Journal of Statistics, 2016
In a multinomial sampling, contingency tables can be parametrized by probabilities of each cell. These probabilities constitute the joint probability function of two or more discrete random variables. These probability tables have been previously studied
M.I. Ortego, J. J. Egozcue
doaj   +1 more source

Modeling toothpaste brand choice: An empirical comparison of artificial neural networks and multinomial probit model [PDF]

, 2010
Copyright @ 2010 Atlantis PressThe purpose of this study is to compare the performances of Artificial Neural Networks (ANN) and Multinomial Probit (MNP) approaches in modeling the choice decision within fast moving consumer goods sector.
Aktas, E, Ulengin, B, Aktas, Emel, Kaya, Tolga, Kaya, T, Topçu, Ilker, Ulengin, Burç, Topcu, YI, Tolga Kaya, Emel Aktas, Burç Ülengin, Topcu, Yusuf İlker, Ülengin, Kemal Burç, Ilker Topçu, Y.   +13 more
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Prediction of Air Pollution in the Sultanate of Oman using Machine Learning Approaches

Sistemasi: Jurnal Sistem Informasi
Air pollution has become a major environmental and public-health concern worldwide, and understanding its behaviour is essential for effective monitoring and management. This study investigates air-quality patterns across four regions in the Sultanate of
Shamssa Abdullah Al-Rahbi, Mohd Alodat
doaj   +1 more source

Matrix multinomial distribution

, 2021
In this article, we define a matrix multinomial distribution. We prove some properties of the matrix multinomial distribution. We prove that the matrix Poisson distribution can be used as an approximation to the matrix multinomial distribution under certain conditions.
openaire   +2 more sources