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Rasmus Waagepetersen

Showing results (1-10 of 23) with videos related to

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Genetical Research|May 12, 2004
Normal linear models with genetically structured residual variance heterogeneity: a case studyDaniel Sorensen, Rasmus Waagepetersen
Biometrics|June 20, 2002
Bayesian prediction of spatial count data using generalized linear mixed modelsOle F Christensen, Rasmus Waagepetersen
Scandinavian Journal of Statistics, Theory and Applications|April 20, 2013
Decomposition of Variance for Spatial Cox ProcessesAbdollah Jalilian, Yongtao Guan, Rasmus Waagepetersen
The British Journal of Nutrition|April 9, 2015
Misclassification of iodine intake level from morning spot urine samples with high iodine excretion among Inuit and non-Inuit in GreenlandStig Andersen, Rasmus Waagepetersen, Peter Laurberg
Journal of the Royal Statistical Society. Series B, Statistical Methodology|June 5, 2015
Quasi-likelihood for Spatial Point ProcessesYongtao Guan, Abdollah Jalilian, Rasmus Waagepetersen
The Annals of Applied Statistics|June 5, 2018
TOWARD BAYESIAN INFERENCE OF THE SPATIAL DISTRIBUTION OF PROTEINS FROM THREE-CUBE FÖRSTER RESONANCE ENERGY TRANSFER DATAJan-Otto Hooghoudt, Margarida Barroso, Rasmus Waagepetersen
Genetics, Selection, Evolution : GSE|February 27, 2008
A comparison of strategies for Markov chain Monte Carlo computation in quantitative geneticsRasmus Waagepetersen, Noelia Ibánez-Escriche, Daniel Sorensen
Biometrics|June 24, 2015
Multivariate product-shot-noise Cox point process modelsAbdollah Jalilian, Yongtao Guan, Jorge Mateu, et al.
Integrative Medicine Research|July 1, 2017
Intrarater and interrater reliability of pulse examination in traditional Indian Ayurvedic medicineVrinda Kurande, Rasmus Waagepetersen, Egon Toft, et al.
Biometrics|February 13, 2025
Composite likelihood inference for space-time point processesAbdollah Jalilian, Francisco Cuevas-Pacheco, Ganggang Xu, et al.
Pageof 3

Showing results (1-10 of 23) with videos related to

Sort By:
Pageof 3
Genetical Research|May 12, 2004
Normal linear models with genetically structured residual variance heterogeneity: a case studyDaniel Sorensen, Rasmus Waagepetersen
Biometrics|June 20, 2002
Bayesian prediction of spatial count data using generalized linear mixed modelsOle F Christensen, Rasmus Waagepetersen
Scandinavian Journal of Statistics, Theory and Applications|April 20, 2013
Decomposition of Variance for Spatial Cox ProcessesAbdollah Jalilian, Yongtao Guan, Rasmus Waagepetersen
The British Journal of Nutrition|April 9, 2015
Misclassification of iodine intake level from morning spot urine samples with high iodine excretion among Inuit and non-Inuit in GreenlandStig Andersen, Rasmus Waagepetersen, Peter Laurberg
Journal of the Royal Statistical Society. Series B, Statistical Methodology|June 5, 2015
Quasi-likelihood for Spatial Point ProcessesYongtao Guan, Abdollah Jalilian, Rasmus Waagepetersen
The Annals of Applied Statistics|June 5, 2018
TOWARD BAYESIAN INFERENCE OF THE SPATIAL DISTRIBUTION OF PROTEINS FROM THREE-CUBE FÖRSTER RESONANCE ENERGY TRANSFER DATAJan-Otto Hooghoudt, Margarida Barroso, Rasmus Waagepetersen
Genetics, Selection, Evolution : GSE|February 27, 2008
A comparison of strategies for Markov chain Monte Carlo computation in quantitative geneticsRasmus Waagepetersen, Noelia Ibánez-Escriche, Daniel Sorensen
Biometrics|June 24, 2015
Multivariate product-shot-noise Cox point process modelsAbdollah Jalilian, Yongtao Guan, Jorge Mateu, et al.
Integrative Medicine Research|July 1, 2017
Intrarater and interrater reliability of pulse examination in traditional Indian Ayurvedic medicineVrinda Kurande, Rasmus Waagepetersen, Egon Toft, et al.
Biometrics|February 13, 2025
Composite likelihood inference for space-time point processesAbdollah Jalilian, Francisco Cuevas-Pacheco, Ganggang Xu, et al.
Pageof 3