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Showing 1-10 of 13 results

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Empirical Bayes posterior concentration in sparse high-dimensional linear models

Martin, Ryan, Mess, Raymond, and Walker, Stephen G.
Bernoulli Volume 23, Number 3 (August 2017), 1822-1847.

Journal article

A Conversation with Samad Hedayat

Martin, Ryan, Stufken, John, and Yang, Min
Statistical Science Volume 31, Number 4 (November 2016), 637-647.

Journal article

On Posterior Concentration in Misspecified Models

Ramamoorthi, R. V., Sriram, Karthik, and Martin, Ryan
Bayesian Analysis Volume 10, Number 4 (December 2015), 759-789.

Journal article

Discussion: Foundations of Statistical Inference, Revisited

Martin, Ryan and Liu, Chuanhai
Statistical Science Volume 29, Number 2 (May 2014), 247-251.

Journal article

Asymptotically minimax empirical Bayes estimation of a sparse normal mean vector

Martin, Ryan and Walker, Stephen G.
Electronic Journal of Statistics Volume 8, Number 2 (2014), 2188-2206.

Journal article

Exact prior-free probabilistic inference on the heritability coefficient in a linear mixed model

Cheng, Qianshun, Gao, Xu, and Martin, Ryan
Electronic Journal of Statistics Volume 8, Number 2 (2014), 3062-3076.

Journal article

Moving finite unit norm tight frames for $S^{n}$

Freeman, Daniel, Hotovy, Ryan, and Martin, Eileen
Illinois Journal of Mathematics Volume 58, Number 2 (Summer 2014), 311-322.

Journal article

On ε-optimality of the pursuit learning algorithm

Martin, Ryan and Tilak, Omkar
Journal of Applied Probability Volume 49, Number 3 (September 2012), 795-805.

Journal article

Meta-analysis of functional neuroimaging data using Bayesian nonparametric binary regression

Yue, Yu Ryan, Lindquist, Martin A., and Loh, Ji Meng
The Annals of Applied Statistics Volume 6, Number 2 (June 2012), 697-718.

Journal article

Dempster–Shafer Theory and Statistical Inference with Weak Beliefs

Martin, Ryan, Zhang, Jianchun, and Liu, Chuanhai
Statistical Science Volume 25, Number 1 (February 2010), 72-87.

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