Publications (50)
Permutation-based uncertainty quantification about a mixing distribution
Vaidehi Dixit, Ryan Martin
Semiparametric inference in mixture models with predictive recursion marginal likelihood
Ryan Martin, Surya T. Tokdar
Asymptotically minimax empirical Bayes estimation of a sparse normal mean vector
Ryan Martin, Stephen G. Walker
A nonparametric empirical Bayes framework for large-scale multiple testing
Ryan Martin, Surya T. Tokdar
Exact prior-free probabilistic inference in a class of non-regular models
Ryan Martin, Yi Lin
Discussion: Foundations of Statistical Inference, Revisited
Ryan Martin, Chuanhai Liu
Stochastic Approximation and Newton's Estimate of a Mixing Distribution
Ryan Martin, Jayanta K. Ghosh
Dempster--Shafer Theory and Statistical Inference with Weak Beliefs
Ryan Martin, Jianchun Zhang, Chuanhai Liu
On an inferential model construction using generalized associations
Ryan Martin
Asymptotically optimal nonparametric empirical Bayes via predictive recursion
Ryan Martin
A mathematical characterization of confidence as valid belief
Ryan Martin
On overfitting and post-selection uncertainty assessments
Liang Hong, Todd A. Kuffner, Ryan Martin
A note on p-values interpreted as plausibilities
Ryan Martin, Chuanhai Liu
On the edit distance from $K_{2,t}$-free graphs II: Cases $t\geq 5$
Ryan Martin, Tracy McKay
Random sets and exact confidence regions
Ryan Martin
Prior-free probabilistic prediction of future observations
Ryan Martin, Rama Lingham
On convergence rates of Bayesian predictive densities and posterior distributions
Ryan Martin, Liang Hong
Gibbs posterior inference on the minimum clinically important difference
Nick Syring, Ryan Martin
Exact prior-free probabilistic inference on the heritability coefficient in a linear mixed model
Qianshun Cheng, Xu Gao, Ryan Martin
On weighted Ramsey numbers
Maria Axenovich, Ryan Martin
Marginal inferential models: prior-free probabilistic inference on interest parameters
Ryan Martin, Chuanhai Liu
Applications of an algorithm for solving Fredholm equations of the first kind
Minwoo Chae, Ryan Martin, Stephen G. Walker
Frameworks for prior-free posterior probabilistic inference
Chuanhai Liu, Ryan Martin
Ultra-Low Noise Mechanically Cooled Germanium Detector
Paul Barton, Mark Amman, Ryan Martin +1
An approximate Bayesian marginal likelihood approach for estimating finite mixtures
Ryan Martin
Fast nonparametric near-maximum likelihood estimation of a mixing density
Minwoo Chae, Ryan Martin, Stephen G. Walker
A statistical inference course based on p-values
Ryan Martin
Efficient posterior inference on the volatility of a jump diffusion process
Ryan Martin, Cheng Ouyang, Francois Domagni
Status Update of the MAJORANA DEMONSTRATOR Neutrinoless Double Beta Decay Experiment
Julieta Gruszko, Nicolas Abgrall, Isaac Arnquist +67
Inferential models: A framework for prior-free posterior probabilistic inference
Ryan Martin, Chuanhai Liu
Valid uncertainty quantification about the model in a linear regression setting
Ryan Martin, Huiping Xu, Zuoyi Zhang +1
Calibrating general posterior credible regions
Nicholas Syring, Ryan Martin
Empirical Bayes posterior concentration in sparse high-dimensional linear models
Ryan Martin, Raymond Mess, Stephen G. Walker
Rethinking probabilistic prediction in the wake of the 2016 U.S. presidential election
Harry Crane, Ryan Martin
Avoiding rainbow induced subgraphs in vertex-colorings
Maria Axenovich, Ryan Martin
Conditional inferential models: combining information for prior-free probabilistic inference
Ryan Martin, Chuanhai Liu
Plausibility functions and exact frequentist inference
Ryan Martin
A semiparametric scale-mixture regression model and predictive recursion maximum likelihood
Ryan Martin, Zhen Han
Variational approximations using Fisher divergence
Yue Yang, Ryan Martin, Howard Bondell
On Posterior Concentration in Misspecified Models
R. V. Ramamoorthi, Karthik Sriram, Ryan Martin
Simulating from a gamma distribution with small shape parameter
Chuanhai Liu, Ryan Martin, Nick Syring
Consistency of a recursive estimate of mixing distributions
Surya T. Tokdar, Ryan Martin, Jayanta K. Ghosh
Satellite conjunction analysis and the false confidence theorem
Michael S. Balch, Ryan Martin, Scott Ferson
Lower bounds for identifying codes in some infinite grids
Ryan Martin, Brendon Stanton
Results from the Neutral Current Detector phase of the Sudbury Neutrino Observatory
Ryan Martin
Convergence rate for predictive recursion estimation of finite mixtures
Ryan Martin
A note on Bayesian convergence rates under local prior support conditions
Ryan Martin, Liang Hong, Stephen G. Walker
Optimal inferential models for a Poisson mean
Ryan Martin, Duncan Ermini Leaf, Chuanhai Liu
On recursive Bayesian predictive distributions
P. Richard Hahn, Ryan Martin, Stephen G. Walker
On epsilon-optimality of the pursuit learning algorithm
Ryan Martin, Omkar Tilak