Springer Proceedings in Mathematics & Statistics - Bayesian Statistics and New Generations
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9783030306106, 9783030306113

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Posterior Consistency in the Binomial Model with Unknown Parameters: A Numerical Study

Springer Proceedings in Mathematics & Statistics - Bayesian Statistics and New Generations ◽

10.1007/978-3-030-30611-3_4 ◽

2019 ◽

pp. 35-42

Author(s):

Laura Fee Schneider ◽

Thomas Staudt ◽

Axel Munk

Keyword(s):

Numerical Study ◽

Binomial Model ◽

Posterior Consistency ◽

Unknown Parameters

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Efficient Metropolis-Hastings Sampling for Nonlinear Mixed Effects Models

Springer Proceedings in Mathematics & Statistics - Bayesian Statistics and New Generations ◽

10.1007/978-3-030-30611-3_9 ◽

2019 ◽

pp. 85-93

Author(s):

Belhal Karimi ◽

Marc Lavielle

Keyword(s):

Mixed Effects ◽

Mixed Effects Models ◽

Nonlinear Mixed Effects ◽

Nonlinear Mixed Effects Models

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Ice Cores and Emulation: Learning More About Past Ice Sheet Shapes

Springer Proceedings in Mathematics & Statistics - Bayesian Statistics and New Generations ◽

10.1007/978-3-030-30611-3_18 ◽

2019 ◽

pp. 175-182

Author(s):

Fiona Turner ◽

Richard Wilkinson ◽

Caitlin Buck ◽

Julie Jones ◽

Louise Sime

Keyword(s):

Ice Sheet ◽

Ice Cores

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Approaches Toward the Bayesian Estimation of the Stochastic Volatility Model with Leverage

Springer Proceedings in Mathematics & Statistics - Bayesian Statistics and New Generations ◽

10.1007/978-3-030-30611-3_8 ◽

2019 ◽

pp. 75-83 ◽

Cited By ~ 2

Author(s):

Darjus Hosszejni ◽

Gregor Kastner

Keyword(s):

Bayesian Estimation ◽

Stochastic Volatility ◽

Stochastic Volatility Model ◽

Volatility Model

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Non-parametric Overlapping Community Detection

Springer Proceedings in Mathematics & Statistics - Bayesian Statistics and New Generations ◽

10.1007/978-3-030-30611-3_3 ◽

2019 ◽

pp. 23-34

Author(s):

Nishma Laitonjam ◽

Neil Hurley

Keyword(s):

Community Detection ◽

Overlapping Community Detection ◽

Overlapping Community ◽

Non Parametric

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A Polya Tree Based Model for Unmarked Individuals in an Open Wildlife Population

Springer Proceedings in Mathematics & Statistics - Bayesian Statistics and New Generations ◽

10.1007/978-3-030-30611-3_1 ◽

2019 ◽

pp. 3-11

Author(s):

Alex Diana ◽

Jim Griffin ◽

Eleni Matechou

Keyword(s):

Polya Tree ◽

Wildlife Population

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Learning in the Absence of Training Data—A Galactic Application

Springer Proceedings in Mathematics & Statistics - Bayesian Statistics and New Generations ◽

10.1007/978-3-030-30611-3_5 ◽

2019 ◽

pp. 43-51

Author(s):

Cedric Spire ◽

Dalia Chakrabarty

Keyword(s):

Training Data

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Modelling with Non-stratified Chain Event Graphs

Springer Proceedings in Mathematics & Statistics - Bayesian Statistics and New Generations ◽

10.1007/978-3-030-30611-3_16 ◽

2019 ◽

pp. 155-163

Author(s):

Aditi Shenvi ◽

Jim Q. Smith ◽

Robert Walton ◽

Sandra Eldridge

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Multiplicative Latent Force Models

Springer Proceedings in Mathematics & Statistics - Bayesian Statistics and New Generations ◽

10.1007/978-3-030-30611-3_6 ◽

2019 ◽

pp. 53-61

Author(s):

Daniel J. Tait ◽

Bruce J. Worton

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particleMDI: A Julia Package for the Integrative Cluster Analysis of Multiple Datasets

Springer Proceedings in Mathematics & Statistics - Bayesian Statistics and New Generations ◽

10.1007/978-3-030-30611-3_7 ◽

2019 ◽

pp. 65-74

Author(s):

Nathan Cunningham ◽

Jim E. Griffin ◽

David L. Wild ◽

Anthony Lee

Keyword(s):

Cluster Analysis ◽

Multiple Datasets

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Springer Proceedings in Mathematics & Statistics - Bayesian Statistics and New GenerationsLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

Posterior Consistency in the Binomial Model with Unknown Parameters: A Numerical Study

Efficient Metropolis-Hastings Sampling for Nonlinear Mixed Effects Models

Ice Cores and Emulation: Learning More About Past Ice Sheet Shapes

Approaches Toward the Bayesian Estimation of the Stochastic Volatility Model with Leverage

Non-parametric Overlapping Community Detection

A Polya Tree Based Model for Unmarked Individuals in an Open Wildlife Population

Learning in the Absence of Training Data—A Galactic Application

Modelling with Non-stratified Chain Event Graphs

Multiplicative Latent Force Models

particleMDI: A Julia Package for the Integrative Cluster Analysis of Multiple Datasets

Springer Proceedings in Mathematics & Statistics - Bayesian Statistics and New Generations
Latest Publications