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1
Likelihood-based inference under nonconvex boundary constraints
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Likelihood-based inference under nonconvex boundary constraints

Wang, J Y ; Ye, Z S ; Chen, Y

Biometrika, 2024-06, Vol.111 (2), p.591-607 [Periódico revisado por pares]

England

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Clustered and Unclustered Group Testing for Biosecurity
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Clustered and Unclustered Group Testing for Biosecurity

Clark, Robert Graham ; Barnes, Belinda ; Parsa, Mahdi

Journal of agricultural, biological, and environmental statistics, 2024-06, Vol.29 (2), p.193-211 [Periódico revisado por pares]

New York: Springer US

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Locally Anisotropic Nonstationary Covariance Functions on the Sphere
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Locally Anisotropic Nonstationary Covariance Functions on the Sphere

Cao, Jian ; ZHANG, Jingjie ; SUN, Zhuoer ; Katzfuss, Matthias

Journal of agricultural, biological, and environmental statistics, 2024-06, Vol.29 (2), p.212-231 [Periódico revisado por pares]

New York: Springer US

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4
Discussion of ‘Marked Spatial Point Processes: Current State and Extensions to Point Processes on Linear Networks’ by Matthias Eckardt and Mehdi Moradi
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Discussion of ‘Marked Spatial Point Processes: Current State and Extensions to Point Processes on Linear Networks’ by Matthias Eckardt and Mehdi Moradi

Grabarnik, Pavel ; Pommerening, Arne

Journal of agricultural, biological, and environmental statistics, 2024-06, Vol.29 (2), p.389-391 [Periódico revisado por pares]

New York: Springer US

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5
Discussion of ‘Marked Spatial Point Processes: Current State and Extensions to Point Processes on Linear Networks’ by Matthias Eckardt and Mehdi Moradi
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Discussion of ‘Marked Spatial Point Processes: Current State and Extensions to Point Processes on Linear Networks’ by Matthias Eckardt and Mehdi Moradi

van Lieshout, M. N. M.

Journal of agricultural, biological, and environmental statistics, 2024-06, Vol.29 (2), p.395-398 [Periódico revisado por pares]

New York: Springer US

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6
Covariance Clustering: Modelling Covariance in Designed Experiments When the Number of Variables is Greater than Experimental Units
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Covariance Clustering: Modelling Covariance in Designed Experiments When the Number of Variables is Greater than Experimental Units

Forknall, Clayton R. ; Verbyla, Arūnas P. ; Nazarathy, Yoni ; Yousif, Adel ; Osama, Sarah ; Jones, Shirley H. ; Kerr, Edward ; Schulz, Benjamin L. ; Fox, Glen P. ; Kelly, Alison M.

Journal of agricultural, biological, and environmental statistics, 2024-06, Vol.29 (2), p.232-256 [Periódico revisado por pares]

New York: Springer US

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7
Rejoinder on ‘Marked Spatial Point Processes: Current State and Extensions to Point Processes on Linear Networks’
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Rejoinder on ‘Marked Spatial Point Processes: Current State and Extensions to Point Processes on Linear Networks’

Eckardt, Matthias ; Moradi, Mehdi

Journal of agricultural, biological, and environmental statistics, 2024-06, Vol.29 (2), p.405-416 [Periódico revisado por pares]

New York: Springer US

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8
Discussion of the Paper by Eckardt and Moradi
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Discussion of the Paper by Eckardt and Moradi

Stoyan, Dietrich

Journal of agricultural, biological, and environmental statistics, 2024-06, Vol.29 (2), p.392-394 [Periódico revisado por pares]

New York: Springer US

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9
Assessing Spatial Stationarity and Segmenting Spatial Processes into Stationary Components
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Assessing Spatial Stationarity and Segmenting Spatial Processes into Stationary Components

Tzeng, ShengLi ; Chen, Bo-Yu ; Huang, Hsin-Cheng

Journal of agricultural, biological, and environmental statistics, 2024-06, Vol.29 (2), p.301-319 [Periódico revisado por pares]

New York: Springer US

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Spatial Wildfire Risk Modeling Using a Tree-Based Multivariate Generalized Pareto Mixture Model
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Spatial Wildfire Risk Modeling Using a Tree-Based Multivariate Generalized Pareto Mixture Model

Cisneros, Daniela ; Hazra, Arnab ; Huser, Raphaël

Journal of agricultural, biological, and environmental statistics, 2024-06, Vol.29 (2), p.320-345 [Periódico revisado por pares]

New York: Springer US

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