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A Bayesian General Linear Modeling Approach to Cortical Surface fMRI Data Analysis
A Bayesian General Linear Modeling Approach to Cortical Surface fMRI Data Analysis
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A Bayesian General Linear Modeling Approach to Cortical Surface fMRI Data Analysis

Mejia, Amanda F. ; Yue, Yu (Ryan) ; Bolin, David ; Lindgren, Finn ; Lindquist, Martin A.

Journal of the American Statistical Association, 2020-04, Vol.115 (530), p.501-520 [Periódico revisado por pares]

United States: Taylor & Francis

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Estimation and Prediction for Stochastic Blockstructures
Estimation and Prediction for Stochastic Blockstructures
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Estimation and Prediction for Stochastic Blockstructures

Nowicki, Krzysztof ; Snijders, Tom A. B

Journal of the American Statistical Association, 2001-09, Vol.96 (455), p.1077-1087 [Periódico revisado por pares]

Alexandria, VA: Taylor & Francis

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3
Subsampling Methods to Estimate the Variance of Sample Means Based on Nonstationary Spatial Data With Varying Expected Values
Subsampling Methods to Estimate the Variance of Sample Means Based on Nonstationary Spatial Data With Varying Expected Values
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Subsampling Methods to Estimate the Variance of Sample Means Based on Nonstationary Spatial Data With Varying Expected Values

Ekström, Magnus ; Luna, Sara Sjöstedt-De

Journal of the American Statistical Association, 2004-03, Vol.99 (465), p.82-95 [Periódico revisado por pares]

Alexandria, VA: Taylor & Francis

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