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Dissertation statistics - High Quality Writing Services - Best Essay and Dissertation Writing Services

Dissertations & Theses

The following is a list of the last statistics and biostatistics DOUKTE dissertations and Masters Theses.

Jeffrey Gory (2017)
PhD dissertation (statistics): marginal interpretable general linear mixed models
consultants: Peter Craigmile & Steven Maceachern

yi lu (2017)
PhD dissertation (statistics): Functional registration from a Bayessien perspective
Advisor: Radu Herbei & Sebastian Schneek

Michael Matthews (2017)
PhD dissertation (statistics): Extension of the ranking in a row in follow- /> Advisor: Douglas Wolfe

Anna Smith (2017)
PhD dissertation: Statistical methodology for multiple networks
Advisor: Catherine Calder

whitei Xie (2017)
PhD dissertation: A geometric approach to visualizing variability in univariate and multivariate function data
consultants: Sebastian Schneek

Jinging Zeng (2017)
Masters thesis (statistics): latent factor models for recommendation systems and market segmentation by clustering
consultant: Matthew Pratola & Laura Kubatko

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Han Zhang (2017)
PhD dissertation (statistics): Detecting rare haplotype environmental interactions and nonlinear effects Rare haplotypes with Bayesian Lasso on quantitative characteristics
consultant : Shili Lin

Mark Burch (2016)
PhD dissertation (biostatistics): Statistical methods for network epidemic models
Advisor: Grzegorz Rempala

Rong Lu (2016)
PhD dissertation (biostatistics): Statistical methods for functional genomics studies with observation data
Advisor: Grzegorz Rempala (public health)

Junyan Wang (2016)
PhD dissertation: Empirical Bayes model averaging in the presence of model false providers
Advisor: Mario Peruggia & Christopher Hans

Ran Wei (2016)
PhD dissertation (statistics): For estimated problems in network sampling
consultants: David Sivakoff & Elizabeth Stasny

Matthew Brems (2015)
Masters Thesis (Statistics): The rare disease of the disease: the good, the bad and ugly
consultant: Shili Lin

.

Linchao Chen (2015)
PhD dissertation (statistics): predictive modeling of spatio temporal records in high dimensions
Advisor: Mark Berliner & Christopher Hans

Casey Davis (2015)
PhD dissertation (statistics): a Bavessian approach to predictive and variable selection with non-stationary Gaussian processes
Advisor: Christopher Hans & Thomas Santner

Zhengyu Hu (2015)
PhD dissertation (statistics): Initializing the EM algorithm for data clustering and subcontracting
Advisor: Steven Maceachern & Joseph Verducci

David Kline (2015)
PhD dissertation (biostatistics): Systematically missing subject stage in longitudinal research synthesis
Consultant: Eloise Kaizar, Rebecca Andridge (Public Health)

Mark Risser (2015)
PhD dissertation (statistics): Spatial-varying covariance functions for non-stationary spatial process modeling
consultants: Catherine Calder

John Stettler (2015)
PhD dissertation: The discrete threshold regression model
Advisor: Mario Peruggia

Zachary Thomas (2015)
PhD dissertation (statistics): Bayesian Hierarchical Space Time Clustering Methods
Advisor: Mark Berliner

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Sivaranjani Vaidyanathan (2015)
PhD dissertation: Bayesian models for computer model calibration and prediction
Advisor: Mark Berliner Staci white (2015)
PhD dissertation (statistics): Quantify model errors in Bayesian parameter estimation
consultant: Radu here

Jiaqi Zaetz (2015)
PhD dissertation (statistics): A riverish frame for the form analysis of the commented 3D objects
Consultant: Sebastian Schneek

Fangyuan Zhang (2015)
PhD dissertation (biostatistics): detection of genomic embossing and maternal effects in family-based association studies
Advisor: Shili Lin

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