Ryan Martin

According to our database, Ryan Martin authored at least 40 papers between 2008 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Possibility-theoretic statistical inference offers performance and probativeness assurances.

Leonardo Cella, Ryan Martin

Int. J. Approx. Reason., December, 2023

A PRticle filter algorithm for nonparametric estimation of multivariate mixing distributions.

Vaidehi Dixit, Ryan Martin

Stat. Comput., August, 2023

Fiducial inference viewed through a possibility-theoretic inferential model lens.

Ryan Martin

Proceedings of the International Symposium on Imprecise Probability: Theories and Applications, 2023

2022

Direct and approximately valid probabilistic inference on a class of statistical functionals.

Leonardo Cella, Ryan Martin

Int. J. Approx. Reason., 2022

Valid inferential models for prediction in supervised learning problems.

Leonardo Cella, Ryan Martin

Int. J. Approx. Reason., 2022

Validity, consonant plausibility measures, and conformal prediction.

Leonardo Cella, Ryan Martin

Int. J. Approx. Reason., 2022

A Practical Strategy for Valid Partial Prior-Dependent Possibilistic Inference.

Dominik Hose, Michael Hanss, Ryan Martin

Proceedings of the Belief Functions: Theory and Applications, 2022

Valid Inferential Models Offer Performance and Probativeness Assurances.

Leonardo Cella, Ryan Martin

Proceedings of the Belief Functions: Theory and Applications, 2022

2021

The Zebrafish Information Network: major gene page and home page updates.

Douglas G. Howe, Sridhar Ramachandran, Yvonne M. Bradford, David Fashena, Sabrina Toro, Anne E. Eagle, Ken Frazer, Patrick Kalita, Prita Mani, Ryan Martin, Sierra Taylor Moxon, Holly Paddock, Christian Pich, Leyla Ruzicka, Kevin Schaper, Xiang Shao, Amy Singer, Ceri E. Van Slyke, Monte Westerfield

Nucleic Acids Res., 2021

Generalized inferential models for censored data.

Joyce Cahoon, Ryan Martin

Int. J. Approx. Reason., 2021

Stochastic Optimization for Numerical Evaluation of Imprecise Probabilities.

Nicholas Syring, Ryan Martin

Proceedings of the International Symposium on Imprecise Probability: Theories and Applications, 2021

Towards a Theory of Valid Inferential Models with Partial Prior Information.

Ryan Martin

Proceedings of the Belief Functions: Theory and Applications, 2021

Approximately Valid and Model-Free Possibilistic Inference.

Leonardo Cella, Ryan Martin

Proceedings of the Belief Functions: Theory and Applications, 2021

2020

Empirical Priors for Prediction in Sparse High-dimensional Linear Regression.

Ryan Martin, Yiqi Tang

J. Mach. Learn. Res., 2020

Performance of clustering for the decision of stationarity; A case study with a nickel laterite deposit.

Ryan Martin, Jeff B. Boisvert

Comput. Geosci., 2020

2019

On an algorithm for solving Fredholm integrals of the first kind.

Minwoo Chae, Ryan Martin, Stephen G. Walker

Stat. Comput., 2019

Ten Hot Topics around Scholarly Publishing.

Jonathan P. Tennant, Harry Crane, Tom Crick, Jacinto A. Dávila, Asura Enkhbayar, Johanna Havemann, Bianca Kramer, Ryan Martin, Paola Masuzzo, Andy Nobes, Curt Rice, Bárbara Rivera-López, Tony Ross-Hellauer, Susanne Sattler, Paul D. Thacker, Marc Vanholsbeeck

Publ., 2019

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

Leyla Ruzicka, Douglas G. Howe, Sridhar Ramachandran, Sabrina Toro, Ceri E. Van Slyke, Yvonne M. Bradford, Anne E. Eagle, David Fashena, Ken Frazer, Patrick Kalita, Prita Mani, Ryan Martin, Sierra Taylor Moxon, Holly Paddock, Christian Pich, Kevin Schaper, Xiang Shao, Amy Singer, Monte Westerfield

Nucleic Acids Res., 2019

False confidence, non-additive beliefs, and valid statistical inference.

Ryan Martin

Int. J. Approx. Reason., 2019

Variational approximations using Fisher divergence.

Yue Yang, Ryan Martin, Howard D. Bondell

CoRR, 2019

Validity-Preservation Properties of Rules for Combining Inferential Models.

Ryan Martin, Nicholas Syring

Proceedings of the International Symposium on Imprecise Probabilities: Theories and Applications, 2019

On Valid Uncertainty Quantification About a Model.

Ryan Martin

Proceedings of the International Symposium on Imprecise Probabilities: Theories and Applications, 2019

Incorporating Expert Opinion in an Inferential Model while Maintaining Validity.

Leonardo Cella, Ryan Martin

Proceedings of the International Symposium on Imprecise Probabilities: Theories and Applications, 2019

Possibility Measures for Valid Statistical Inference Based on Censored Data.

Joyce Cahoon, Ryan Martin

Proceedings of the International Symposium on Imprecise Probabilities: Theories and Applications, 2019

2018

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

Ryan Martin, Jeff B. Boisvert

Comput. Geosci., 2018

2017

Prior-Free Probabilistic Inference for Econometricians.

Ryan Martin

Proceedings of the Robustness in Econometrics, 2017

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

Douglas G. Howe, Yvonne M. Bradford, Anne E. Eagle, David Fashena, Ken Frazer, Patrick Kalita, Prita Mani, Ryan Martin, Sierra Taylor Moxon, Holly Paddock, Christian Pich, Sridhar Ramachandran, Leyla Ruzicka, Kevin Schaper, Xiang Shao, Amy Singer, Sabrina Toro, Ceri E. Van Slyke, Monte Westerfield

Nucleic Acids Res., 2017

Iterative refinement of implicit boundary models for improved geological feature reproduction.

Ryan Martin, Jeff B. Boisvert

Comput. Geosci., 2017

Efficient simulation from a gamma distribution with small shape parameter.

Chuanhai Liu, Ryan Martin, Nicholas Syring

Comput. Stat., 2017

2016

Prior-Free Probabilistic Prediction of Future Observations.

Ryan Martin, Rama T. Lingham

Technometrics, 2016

A semiparametric scale-mixture regression model and predictive recursion maximum likelihood.

Ryan Martin, Zhen Han

Comput. Stat. Data Anal., 2016

Multilingual Search with Machine Translation in the Intel Communities.

Ryan Martin

Proceedings of the 12th Conferences of the Association for Machine Translation in the Americas: MT Users' Track, 2016

2013

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

Douglas G. Howe, Yvonne M. Bradford, Tom Conlin, Anne E. Eagle, David Fashena, Ken Frazer, Jonathan Knight, Prita Mani, Ryan Martin, Sierra A. T. Moxon, Holly Paddock, Christian Pich, Sridhar Ramachandran, Barbara J. Ruef, Leyla Ruzicka, Kevin Schaper, Xiang Shao, Amy Singer, Brock Sprunger, Ceri E. Van Slyke, Monte Westerfield

Nucleic Acids Res., 2013

An Approximate Bayesian Marginal Likelihood Approach for Estimating Finite Mixtures.

Ryan Martin

Commun. Stat. Simul. Comput., 2013

2012

On ε-Optimality of the Pursuit Learning Algorithm.

Ryan Martin, Omkar J. Tilak

J. Appl. Probab., 2012

2011

Decentralized Indirect Methods for Learning Automata Games.

Omkar J. Tilak, Ryan Martin, Snehasis Mukhopadhyay

IEEE Trans. Syst. Man Cybern. Part B, 2011

ZFIN: enhancements and updates to the zebrafish model organism database.

Yvonne M. Bradford, Tom Conlin, Nathan A. Dunn, David Fashena, Ken Frazer, Douglas G. Howe, Jonathan Knight, Prita Mani, Ryan Martin, Sierra A. T. Moxon, Holly Paddock, Christian Pich, Sridhar Ramachandran, Barbara J. Ruef, Leyla Ruzicka, Holle Bauer Schaper, Kevin Schaper, Xiang Shao, Amy Singer, Judy Sprague, Brock Sprunger, Ceri E. Van Slyke, Monte Westerfield

Nucleic Acids Res., 2011

On epsilon-optimality of the pursuit learning algorithm

Ryan Martin, Omkar J. Tilak

CoRR, 2011

2010

Lower Bounds for Identifying Codes in some Infinite Grids.

Ryan Martin, Brendon Stanton

Electron. J. Comb., 2010

2008

Automation of compressor test procedure using advantech data acquisition module.

Abdul Md. Mazid, Ryan Martin

Proceedings of the 10th International Conference on Control, 2008