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Bayesian analysis of a multivariate spatial ordered probit model
Communications in Statistics - Simulation and Computation, 2021 Many phenomena are correlated and spatially dependent. In addition, some of them are ordinal discrete responses. Thus, a model is needed to capture the interactions of multivariate ordinal outcomes and spatial dependences. Following Smith and LeSage (2004) and Jeliazkov et al.
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Multivariate probit model for a priori assessment of behavioral risks in audit [PDF]
Applied Econometrics, 2020 The paper presents an original approach to assessing behavioral risks during audit procedures based on a multivariate probit model. Dependent variables in the model were binary behavioral characteristics of individual responsible for financial statement: tolerance to legislation violations, pathological monetary type, propensity to increased risk ...
S. Arzhenovskiy +2 more
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Factors affecting market outlet choice of wheat producers in North Gondar Zone, Ethiopia
Agriculture & Food Security, 2018 Background Selecting the appropriate channels to deliver farm products is not an easy task because there are various factors that affect producers to select such relevant channels.
Abebe Birara Dessie +2 more
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Journal of Agriculture and Food Research, 2022 Agricultural environment in many developing economies has become increasingly unpredictable in recent decades as a result of climate change, increasing the risk of crop failure.
Gideon Danso-Abbeam
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Cogent Food & Agriculture, 2018 Pepper is an important cash crop for its contribution to income-generating, employment opportunity and improvement of food security to the majority of the rural households.
Gizachew Wosene +2 more
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Sci, 2020 This study assessed farmers’ perception of climate change, and estimated the determinants of, and evaluated the relationship among, adaptation practices using the multivariate probit model. A survey in 300 agricultural households was carried out covering
Arun GC, Jun-Ho Yeo
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End-to-End Learning for the Deep Multivariate Probit Model
CoRR, 2018 The multivariate probit model (MVP) is a popular classic model for studying binary responses of multiple entities. Nevertheless, the computational challenge of learning the MVP model, given that its likelihood involves integrating over a multidimensional constrained space of latent variables, significantly limits its application in practice. We propose
Di Chen 0001 +2 more
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Technological and Economic Development of Economy, 2014 This paper aims to empirically test the R&D complementarities among three alternative R&D strategies, namely, internal R&D, external R&D and cooperative R&D, under different measures of innovation output.
Eric S. Lin, Yi-Chi Hsiao, Hui-lin Lin
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Multivariate Dynamic Probit Models: An Application to Financial Crises Mutation [PDF]
, 2013 Forthcoming
Candelon, Bertrand +3 more
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Atmosphere, 2022 The potato is the third most consumed crop globally after rice and wheat, but climate change has often disrupted its production. Therefore, adaptation practices are needed to maintain potato productivity.
Tina Sri Purwanti +3 more
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