Application of Bayesian Hierarchical Models in Genetic Data Analysis /

Copula based hierarchical Bayesian models /
by: Ghosh, Souparno
Published: (2010)

Statistical methods for integrating genomics data /
by: McGuffey, Elizabeth Jennings
Published: (2015)

Hierarchical modeling of multi-scale dynamical systems using adaptive radial basis function neural networks : application to synthetic jet actuator wing /
by: Lee, Hee Eun
Published: (2004)

A GIS-based Bayesian approach for analyzing spatial-temporal patterns of traffic crashes /
by: Zhulinjushi
Published: (2010)

Bayesian Models for Gene Regulatory Networks Applied to Cancer Tissues /
by: Mohanty, Anwoy Kumar
Published: (2015)

Bayesian classification and survival analysis with curve predictors /
by: Wang, Xiaohui
Published: (2010)

Applied Bayesian hierarchical methods /
by: Congdon, P.
Published: (2010)

Bayesian uncertainty quantification for large scale spatial inverse problems /
by: Mondal, Anirban
Published: (2012)

Bayesian hierarchical models : with applications using R, /
by: Congdon, P.
Published: (2020)

Bayesian model selection for high-dimensional high-throughput data /
by: Joshi, Adarsh
Published: (2012)

Modeling and reasoning with Bayesian networks /
by: Darwiche, Adnan, 1966-
Published: (2009)

A new approach to variance component estimation with diagnostic implications /
by: Hocking, R. R. (Ronald R.), 1932-
Published: (1991)

A Risk- and Performance-based Infrastructure Asset Management Framework /
by: Hessami, Amir Rowshan
Published: (2015)

New expressions for variance component estimators with diagnostic implications /
by: Hocking, R. R. (Ronald R.), 1932-, et al.
Published: (1989)

Applications of Probabilistic Graphical Models in Genomic Networks for Agriculture /
by: Lahiri, Aditya
Published: (2023)

Statistical methods for the analysis of mass spectrometry-based proteomics data /
by: Wang, Xuan
Published: (2012)

Bayesian models for DNA microarray data analysis /
by: Lee, Kyeong Eun, 1971-
Published: (2005)

Benefits of Bayesian network models.
by: Weber, Philippe (Co-author of Data uncertainty and important measures)
Published: (2016)

Bayesian analysis of linear models /
by: Broemeling, Lyle D., 1939-
Published: (1985)

A formula for low achievement : using multi-level models to understand the impact of individual level effects and school level effects on mathematics achievement /
by: Parks, Kathrin Ann, 1976-
Published: (2003)

Hierarchical strategy for rapid finite element analysis /
by: Varghese, Julian , 1979-
Published: (2004)

Sparsity in Varying-coefficient Regression and Covariance Matrix Estimation /
by: Kim, Rakheon
Published: (2023)

Bayesian variable selection in clustering via dirichlet process mixture models /
by: Kim, Sinae, 1976-
Published: (2007)

Bayesian inference in dynamic econometric models /
by: Bauwens, Luc, 1952-
Published: (1999)

Introduction to hierarchical Bayesian modeling for ecological data /
by: Parent, E. (Eric), 1957-
Published: (2013)

Bayesian inference in dynamic econometric models /
by: Bauwens, Luc, 1952-
Published: (1999)

Bayesian forecasting and dynamic models /
by: West, Mike, 1959-
Published: (1997)

Bayesian forecasting and dynamic models /
by: West, Mike, 1959-
Published: (1989)

Structural equation modeling : a second course /
Published: (2006)

Structural equation modeling : a second course /
Published: (2013)

Structural equation modeling : a second course /
Published: (2013)

Linear models : an integrated approach /
by: Sengupta, Debasis
Published: (2003)

Bayesian Models for the Aggregation of Public Opinion Survey Data /
by: Alexander, Brittany Marie
Published: (2023)

Hierarchical modelling for the environmental sciences : statistical methods and applications /
Published: (2006)

Bayesian model selection and statistical modeling /
by: Ando, Tomohiro
Published: (2010)

Bayesian approach to structural equation models for ordered categorical and dichotomous data /
by: Thanoon, Thanoon Y.
Published: (2018)