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Journal Articles
- 2023
[j25]Leonardo Cella, Ryan Martin:
Possibility-theoretic statistical inference offers performance and probativeness assurances. Int. J. Approx. Reason. 163: 109060 (2023)- [j24]Vaidehi Dixit
, Ryan Martin:
A PRticle filter algorithm for nonparametric estimation of multivariate mixing distributions. Stat. Comput. 33(4): 76 (2023) - 2022
- [j23]Leonardo Cella, Ryan Martin:
Validity, consonant plausibility measures, and conformal prediction. Int. J. Approx. Reason. 141: 110-130 (2022) - [j22]Leonardo Cella, Ryan Martin:
Valid inferential models for prediction in supervised learning problems. Int. J. Approx. Reason. 150: 1-18 (2022) - [j21]Leonardo Cella, Ryan Martin:
Direct and approximately valid probabilistic inference on a class of statistical functionals. Int. J. Approx. Reason. 151: 205-224 (2022) - 2021
- [j20]Joyce Cahoon, Ryan Martin:
Generalized inferential models for censored data. Int. J. Approx. Reason. 137: 51-66 (2021) - [j19]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:
The Zebrafish Information Network: major gene page and home page updates. Nucleic Acids Res. 49(Database-Issue): D1058-D1064 (2021) - 2020
- [j18]Ryan Martin, Jeff B. Boisvert:
Performance of clustering for the decision of stationarity; A case study with a nickel laterite deposit. Comput. Geosci. 144: 104565 (2020) - [j17]Ryan Martin, Yiqi Tang:
Empirical Priors for Prediction in Sparse High-dimensional Linear Regression. J. Mach. Learn. Res. 21: 144:1-144:30 (2020) - 2019
- [j16]Ryan Martin:
False confidence, non-additive beliefs, and valid statistical inference. Int. J. Approx. Reason. 113: 39-73 (2019) - [j15]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:
The Zebrafish Information Network: new support for non-coding genes, richer Gene Ontology annotations and the Alliance of Genome Resources. Nucleic Acids Res. 47(Database-Issue): D867-D873 (2019) - [j14]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:
Ten Hot Topics around Scholarly Publishing. Publ. 7(2): 34 (2019) - [j13]Minwoo Chae, Ryan Martin, Stephen G. Walker:
On an algorithm for solving Fredholm integrals of the first kind. Stat. Comput. 29(4): 645-654 (2019) - 2018
- [j12]Ryan Martin, Jeff B. Boisvert:
Towards justifying unsupervised stationary decisions for geostatistical modeling: Ensemble spatial and multivariate clustering with geomodeling specific clustering metrics. Comput. Geosci. 120: 82-96 (2018) - 2017
- [j11]Chuanhai Liu, Ryan Martin, Nicholas Syring:
Efficient simulation from a gamma distribution with small shape parameter. Comput. Stat. 32(4): 1767-1775 (2017) - [j10]Ryan Martin, Jeff B. Boisvert:
Iterative refinement of implicit boundary models for improved geological feature reproduction. Comput. Geosci. 109: 1-15 (2017) - [j9]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:
The Zebrafish Model Organism Database: new support for human disease models, mutation details, gene expression phenotypes and searching. Nucleic Acids Res. 45(Database-Issue): D758-D768 (2017) - 2016
- [j8]Ryan Martin, Zhen Han:
A semiparametric scale-mixture regression model and predictive recursion maximum likelihood. Comput. Stat. Data Anal. 94: 75-85 (2016) - [j7]Ryan Martin, Rama T. Lingham:
Prior-Free Probabilistic Prediction of Future Observations. Technometrics 58(2): 225-235 (2016) - 2013
- [j6]Ryan Martin:
An Approximate Bayesian Marginal Likelihood Approach for Estimating Finite Mixtures. Commun. Stat. Simul. Comput. 42(7): 1533-1548 (2013) - [j5]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:
ZFIN, the Zebrafish Model Organism Database: increased support for mutants and transgenics. Nucleic Acids Res. 41(Database-Issue): 854-860 (2013) - 2012
- [j4]Ryan Martin, Omkar J. Tilak:
On ε-Optimality of the Pursuit Learning Algorithm. J. Appl. Probab. 49(3): 795-805 (2012) - 2011
- [j3]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:
ZFIN: enhancements and updates to the zebrafish model organism database. Nucleic Acids Res. 39(Database-Issue): 822-829 (2011) - [j2]Omkar J. Tilak, Ryan Martin, Snehasis Mukhopadhyay:
Decentralized Indirect Methods for Learning Automata Games. IEEE Trans. Syst. Man Cybern. Part B 41(5): 1213-1223 (2011) - 2010
- [j1]Ryan Martin, Brendon Stanton:
Lower Bounds for Identifying Codes in some Infinite Grids. Electron. J. Comb. 17(1) (2010)
Conference and Workshop Papers
- 2024
- [c16]Ryan Martin, Jonathan P. Williams:
Large-Sample Theory for Inferential Models: A Possibilistic Bernstein-von Mises Theorem. BELIEF 2024: 111-120 - [c15]Leonardo Cella, Ryan Martin:
Variational Approximations of Possibilistic Inferential Models. BELIEF 2024: 121-130 - [c14]Ryan Martin:
Which Statistical Hypotheses are Afflicted with False Confidence? BELIEF 2024: 140-149 - 2023
- [c13]Ryan Martin:
Fiducial inference viewed through a possibility-theoretic inferential model lens. ISIPTA 2023: 299-310 - 2022
- [c12]Dominik Hose, Michael Hanss, Ryan Martin:
A Practical Strategy for Valid Partial Prior-Dependent Possibilistic Inference. BELIEF 2022: 197-206 - [c11]Leonardo Cella, Ryan Martin:
Valid Inferential Models Offer Performance and Probativeness Assurances. BELIEF 2022: 219-228 - 2021
- [c10]Leonardo Cella, Ryan Martin:
Approximately Valid and Model-Free Possibilistic Inference. BELIEF 2021: 127-136 - [c9]Ryan Martin:
Towards a Theory of Valid Inferential Models with Partial Prior Information. BELIEF 2021: 137-146 - [c8]Leonardo Cella, Ryan Martin:
Valid Inferential Models for Prediction in Supervised Learning Problems. ISIPTA 2021: 72-82 - [c7]Nicholas Syring, Ryan Martin:
Stochastic Optimization for Numerical Evaluation of Imprecise Probabilities. ISIPTA 2021: 289-298 - 2019
- [c6]Joyce Cahoon, Ryan Martin:
Possibility Measures for Valid Statistical Inference Based on Censored Data. ISIPTA 2019: 49-58 - [c5]Leonardo Cella, Ryan Martin:
Incorporating Expert Opinion in an Inferential Model while Maintaining Validity. ISIPTA 2019: 68-77 - [c4]Ryan Martin, Nicholas Syring:
Validity-Preservation Properties of Rules for Combining Inferential Models. ISIPTA 2019: 286-294 - [c3]Ryan Martin:
On Valid Uncertainty Quantification About a Model. ISIPTA 2019: 295-303 - 2016
- [c2]Ryan Martin:
Multilingual Search with Machine Translation in the Intel Communities. AMTA (2) 2016: 65-71 - 2008
- [c1]Abdul Md. Mazid, Ryan Martin:
Automation of compressor test procedure using advantech data acquisition module. ICARCV 2008: 2266-2271
Parts in Books or Collections
- 2017
- [p1]Ryan Martin:
Prior-Free Probabilistic Inference for Econometricians. Robustness in Econometrics 2017: 169-186
Informal and Other Publications
- 2019
- [i2]Yue Yang, Ryan Martin, Howard D. Bondell:
Variational approximations using Fisher divergence. CoRR abs/1905.05284 (2019) - 2011
- [i1]Ryan Martin, Omkar J. Tilak:
On epsilon-optimality of the pursuit learning algorithm. CoRR abs/1106.3355 (2011)
Coauthor Index
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