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Multivariate Threshold Models: TVARs and TVECMsMultivariate Threshold Models: TVARs and TVECMs
(Sociedade Brasileira de Econometria, 2003)
Thresholds and indifference in stated choice surveys
(PERGAMON-ELSEVIER SCIENCE LTD, 2010)
One typical aim of choice experiment designs is utility balance, that is, the alternatives defined within each choice set should have similar choice probabilities; otherwise, choice is too easy and little information about ...
Using otsu's threshold selection method for eliminating terms in vector space model computation
(2013-12-01)
Visualization techniques have proved to be valuable tools to support textual data exploration. Dimensionality reduction techniques have been widely used to produce visual representation of document collections. Focusing ...
A study on RGB image multi-thresholding using Kapur/Tsallis entropy and moth-flame algorithm
In the literature, a considerable number of image processing and evaluation procedures are proposed and
implemented in various domains due to their practical importance. Thresholding is one of the pre-processing
techniques, ...
A Study on RGB Image Multi-Thresholding using Kapur/Tsallis Entropy and Moth-Flame Algorithm
In the literature, a considerable number of image processing and evaluation procedures are proposed and implemented in various domains due to their practical importance. Thresholding is one of the pre-processing techniques, ...
Extent prediction of the information and influence propagation in online social networks
(2021)
We present a new mathematical model that predicts the number of users informed and influenced by messages that are propagated in an online social network. Our model is based on a new way of quantifying the tie-strength, ...
A discrete choice model incorporating thresholds for perception in attribute values
(PERGAMON-ELSEVIER SCIENCE LTD, 2006)
In this paper we formulate a discrete choice model that incorporates thresholds in the perception of changes in attribute values. The model considers multiple options and allows for changes in several attributes. We postulate ...
Rainfall thresholds estimation for shallow landslides in Peru from gridded daily data
(American Geophysical Union, 2022-07-20)
The objective of this work was to generate and evaluate regional rainfall thresholds obtained from a combination of high-resolution gridded precipitation data (PISCOpd_Op), developed by the National Service of Meteorology ...
Bayesian analysis of extreme events with threshold estimation
(Fundação Getulio Vargas. Escola de Pós-graduação em Economia, 2004-08-20)
The aim of this paper is to analyze extremal events using Generalized Pareto Distributions (GPD), considering explicitly the uncertainty about the threshold. Current practice empirically determines this quantity and proceeds ...
Estimation of genetic parameters for subclinical mastitis using a threshold model in first parity dairy cows under pasture-based systems of Los Ríos Region in ChileEstimation of genetic parameters for subclinical mastitis using a threshold model in first parity dairy cows under pasture-based systems of Los Ríos Region in Chile
(Faculty of Veterinary Sciences - Universidad Austral de Chile, 2022)