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20082026
most citedGeneralized extreme value regression for binary response data: An application to B2B electronic payments system adoption

106 citations · 252 across the 33 of their papers we have counts for

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Showing 2020Show all

11 papers · 1 filter

stat.AP2020★ 2 cited

Zero Inflated Poisson Model with Clustered Regression Coefficients: an Application to Heterogeneity Learning of Field Goal Attempts of Professional Basketball Players

Guanyu Hu, Hou-Cheng Yang, Yishu Xue +1

Although basketball is a dynamic process sport, with 5 plus 5 players competing on both offense and defense simultaneously, learning some static information is predominant for prof…

stat.ME2020

Generalized Co-sparse Factor Regression

Aditya Mishra, Dipak K. Dey, Yong Chen +1

Multivariate regression techniques are commonly applied to explore the associations between large numbers of outcomes and predictors. In real-world applications, the outcomes are o…

math.ST2020★ 7 cited

On moments of folded and doubly truncated multivariate extended skew-normal distributions

Christian E. Galarza, Larissa A. Matos, Dipak K. Dey +1

This paper develops recurrence relations for integrals that relate the density of multivariate extended skew-normal (ESN) distribution, including the well-known skew-normal (SN) di…

stat.AP2020★ 1 cited

Flexible Modeling of Hurdle Conway-Maxwell-Poisson Distributions with Application to Mining Injuries

Shuang Yin, Dipak K. Dey, Emiliano A. Valdez +1

While the hurdle Poisson regression is a popular class of models for count data with excessive zeros, the link function in the binary component may be unsuitable for highly imbalan…

stat.AP2020★ 4 cited

Skewed link regression models for imbalanced binary response with applications to life insurance

Shuang Yin, Dipak K. Dey, Emiliano A. Valdez +2

For a portfolio of life insurance policies observed for a stated period of time, e.g., one year, mortality is typically a rare event. When we examine the outcome of dying or not fr…

stat.ME2020★ 13 cited

Approximate inferences for nonlinear mixed effects models with scale mixtures of skew-normal distributions

Fernanda L. Schumacher, Dipak K. Dey, Victor H. Lachos

Nonlinear mixed effects models have received a great deal of attention in the statistical literature in recent years because of their flexibility in handling longitudinal studies,…