Ryan Martin

发表

Non-stationary Geostatistical Modeling: A Case Study Comparing LVA Estimation Frameworks

Oy Leuangthong, Jeff B. Boisvert, Ryan Martin, 2018, Natural Resources Research.

Ge Detector Data Classification with Neural Networks

Ryan Martin, Carly Wilson, 2014 .

Empirical Priors for Prediction in Sparse High-dimensional Linear Regression

Ryan Martin, Yiqi Tang, Ryan Martin, 2019, J. Mach. Learn. Res..

Incorporating Expert Opinion in an Inferential Model while Maintaining Validity

Leonardo Cella, Ryan Martin, Ryan Martin, 2019, ISIPTA.

Prior-Free Probabilistic Inference for Econometricians

Ryan Martin, Ryan Martin, 2017, Robustness in Econometrics.

On epsilon-optimality of the pursuit learning algorithm pdf

Omkar J. Tilak, Ryan Martin, 2011, ArXiv.

Frameworks for prior‐free posterior probabilistic inference

Chuanhai Liu, Ryan Martin, Chuanhai Liu, 2014, 1407.8225.

ZFIN, the Zebrafish Model Organism Database: increased support for mutants and transgenics

Monte Westerfield, Jonathan Knight, Sridhar Ramachandran, 2012, Nucleic Acids Res..

Generative Music with the Living Machine: Using Rule-Based Improvisation to Generate Narrative and Soundtrack

Ryan Martin, 2018 .

On Valid Uncertainty Quantification About a Model

Ryan Martin, Ryan Martin, 2019, ISIPTA.

ZFIN: enhancements and updates to the zebrafish model organism database

Monte Westerfield, Jonathan Knight, Sridhar Ramachandran, 2010, Nucleic Acids Res..

Decentralized Indirect Methods for Learning Automata Games

Snehasis Mukhopadhyay, Omkar J. Tilak, Ryan Martin, 2011, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

An Approximate Bayesian Marginal Likelihood Approach for Estimating Finite Mixtures

Ryan Martin, Ryan Martin, 2011, Commun. Stat. Simul. Comput..

The Zebrafish Information Network: new support for non-coding genes, richer Gene Ontology annotations and the Alliance of Genome Resources

Monte Westerfield, Sridhar Ramachandran, Patrick Kalita, 2018, Nucleic Acids Res..

Generalized inferential models for meta-analyses based on few studies.

Ryan Martin, Joyce Cahoon, 2019 .

Variational approximations using Fisher divergence pdf

Yue Yang, Ryan Martin, Howard Bondell, 2019, ArXiv.

Towards justifying unsupervised stationary decisions for geostatistical modeling: Ensemble spatial and multivariate clustering with geomodeling specific clustering metrics

Jeff B. Boisvert, Ryan Martin, J. Boisvert, 2018, Comput. Geosci..

A nonparametric empirical Bayes framework for large-scale multiple testing.

Ryan Martin, Surya T Tokdar, Ryan Martin, 2011, Biostatistics.

On an algorithm for solving Fredholm integrals of the first kind

Stephen G. Walker, Ryan Martin, Minwoo Chae, 2019, Stat. Comput..

On Recursive Bayesian Predictive Distributions

Stephen G. Walker, P. Richard Hahn, Ryan Martin, 2015, Journal of the American Statistical Association.

Real-Time Bayesian Nonparametric Prediction of Solvency Risk

Liang Hong, Ryan Martin, 2017 .

Prior-Free Probabilistic Prediction of Future Observations

Ryan Martin, Rama T. Lingham, Ryan Martin, 2014, Technometrics.

The Zebrafish Model Organism Database: new support for human disease models, mutation details, gene expression phenotypes and searching

Monte Westerfield, Sridhar Ramachandran, Patrick Kalita, 2016, Nucleic Acids Res..

On ε-Optimality of the Pursuit Learning Algorithm

Omkar J. Tilak, Ryan Martin, 2012, J. Appl. Probab..

Automation of compressor test procedure using advantech data acquisition module

Abdul Md. Mazid, Ryan Martin, 2008, 2008 10th International Conference on Control, Automation, Robotics and Vision.

ANALISA DAN PERANCANGAN APLIKASI BASIS DATA SISTEM OPERASIONAL PEMBELAJARAN PADA PRE-SCHOOL DISCOVERY ZONE

Ryan Martin, Ivan Christian, Vicky Hestyanto, 2012 .

Validity-Preservation Properties of Rules for Combining Inferential Models

Ryan Martin, Nicholas Syring, 2019, ISIPTA.

On Prediction of Future Insurance Claims When the Model Is Uncertain

Liang Hong, Ryan Martin, Todd A. Kuffner, 2016 .

Lower Bounds for Identifying Codes in some Infinite Grids

Ryan R. Martin, Ryan Martin, Brendon Stanton, 2010, Electron. J. Comb..

Possibility Measures for Valid Statistical Inference Based on Censored Data

Ryan Martin, Joyce Cahoon, Ryan Martin, 2019, ISIPTA.

Exact prior-free probabilistic inference in a class of non-regular models

Yi Lin, Ryan Martin, 2016 .

Iterative refinement of implicit boundary models for improved geological feature reproduction

Jeff B. Boisvert, Ryan Martin, J. Boisvert, 2017, Comput. Geosci..

Asymptotically optimal inference in sparse sequence models with a simple data-dependent measure

Ryan Martin, Ryan Martin, 2021, 2101.02983.

Bayesian estimation of sparse precision matrices in the presence of Gaussian measurement error

Subhashis Ghosal, Ryan Martin, Wenli Shi, 2021, Electronic Journal of Statistics.

Gibbs posterior inference on a Levy density under discrete sampling

Ryan Martin, Zhe Wang, Ryan Martin, 2021, 2109.06567.

An imprecise-probabilistic characterization of frequentist statistical inference

Ryan Martin, Ryan Martin, 2021, 2112.10904.

Calibrating generalized predictive distributions

Ryan Martin, Pei-Shien Wu, Ryan Martin, 2021, 2107.01688.

Towards a Theory of Valid Inferential Models with Partial Prior Information

Ryan Martin, Ryan Martin, 2021, BELIEF.

Revisiting consistency of a recursive estimator of mixing distributions

Ryan Martin, Vaidehi Dixit, 2021 .

Inferential models and the decision-theoretic implications of the validity property

Ryan Martin, Ryan Martin, 2021, 2112.13247.

Valid Inferential Models for Prediction in Supervised Learning Problems

Leonardo Cella, Ryan Martin, Ryan Martin, 2021, ISIPTA.

Approximately valid probabilistic inference on a class of statistical functionals

Leonardo Cella, Ryan Martin, 2021 .

Stochastic Optimization for Numerical Evaluation of Imprecise Probabilities

Ryan Martin, Nicholas Syring, 2021, ISIPTA.

Validity, consonant plausibility measures, and conformal prediction

Leonardo Cella, Ryan Martin, Ryan Martin, 2020, International Journal of Approximate Reasoning.

Ten myths around open scholarly publishing

Bianca Kramer, Tom Crick, Asura Enkhbayar, 2019 .

Marginal Inferential Models: Prior-Free Probabilistic Inference on Interest Parameters

Ryan Martin, Chuanhai Liu, Ryan Martin, 2013, 1306.3092.

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

Ryan Martin, Qianshun Cheng, Ryan Martin, 2014, 1406.3521.

Asymptotically optimal empirical Bayes inference in a piecewise constant sequence model

Weining Shen, Ryan Martin, Ryan Martin, 2017, 1712.03848.

Asymptotic properties of predictive recursion: Robustness and rate of convergence

Surya T. Tokdar, Ryan Martin, Ryan Martin, 2009 .

Inferential Models for Linear Regression

Ryan Martin, Huiping Xu, Zuoyi Zhang, 2011 .

Asymptotically minimax empirical Bayes estimation of a sparse normal mean vector

Stephen G. Walker, Ryan Martin, S. Walker, 2013, 1304.7366.

A note on p-values interpreted as plausibilities

Ryan Martin, Chuanhai Liu, Ryan Martin, 2012, 1211.1547.

Robust and rate-optimal Gibbs posterior inference on the boundary of a noisy image

Ryan Martin, Nicholas Syring, Ryan Martin, 2016, The Annals of Statistics.

InferentialModels forLinear Regression

Ryan Martin, Huiping Xu, Zuoyi Zhang, 2011 .

Conditional inferential models: combining information for prior‐free probabilistic inference

Ryan Martin, Chuanhai Liu, Ryan Martin, 2012, 1211.1530.

Empirical Bayes posterior concentration in sparse high-dimensional linear models

Stephen G. Walker, Ryan Martin, S. Walker, 2014, 1406.7718.

Random Sets and Exact Confidence Regions

Ryan Martin, 2014 .

Likelihood-free Bayesian inference on the minimum clinically important difference

Ryan Martin, Nick Syring, 2015 .

Semiparametric inference in mixture models with predictive recursion marginal likelihood

Surya T. Tokdar, Ryan Martin, Ryan Martin, 2011, 1106.3352.