Ryan Martin - RankMe

48 papers C 1Journal 30Unranked 16

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Asymptotic efficiency of inferential models and a possibilistic Bernstein-von Mises theorem. Int. J. Approx. Reason. Ryan Martin, Jonathan P. Williams
2025	J	`jnl`	Computationally efficient variational-like approximations of possibilistic inferential models. Int. J. Approx. Reason. Leonardo Cella, Ryan Martin
2025	—	`conf`	Decision-theoretic properties of possibilistic inferential models. ISIPTA Ryan Martin
2025	J	`jnl`	Saturation of $k$-Chains in the Boolean Lattice. Electron. J. Comb. Ryan Martin, Nick Veldt
2024	—	`conf`	Large-Sample Theory for Inferential Models: A Possibilistic Bernstein-von Mises Theorem. BELIEF Ryan Martin, Jonathan P. Williams
2024	—	`conf`	Variational Approximations of Possibilistic Inferential Models. BELIEF Leonardo Cella, Ryan Martin
2024	—	`conf`	Which Statistical Hypotheses are Afflicted with False Confidence? BELIEF Ryan Martin
2023	J	`jnl`	A PRticle filter algorithm for nonparametric estimation of multivariate mixing distributions. Stat. Comput. Vaidehi Dixit, Ryan Martin
2023	—	`conf`	Fiducial inference viewed through a possibility-theoretic inferential model lens. ISIPTA Ryan Martin
2023	J	`jnl`	Possibility-theoretic statistical inference offers performance and probativeness assurances. Int. J. Approx. Reason. Leonardo Cella, Ryan Martin
2022	—	`conf`	A Practical Strategy for Valid Partial Prior-Dependent Possibilistic Inference. BELIEF Dominik Hose, Michael Hanss, Ryan Martin
2022	J	`jnl`	Direct and approximately valid probabilistic inference on a class of statistical functionals. Int. J. Approx. Reason. Leonardo Cella, Ryan Martin
2022	—	`conf`	Valid Inferential Models Offer Performance and Probativeness Assurances. BELIEF Leonardo Cella, Ryan Martin
2022	J	`jnl`	Valid inferential models for prediction in supervised learning problems. Int. J. Approx. Reason. Leonardo Cella, Ryan Martin
2022	J	`jnl`	Validity, consonant plausibility measures, and conformal prediction. Int. J. Approx. Reason. Leonardo Cella, Ryan Martin
2021	—	`conf`	Approximately Valid and Model-Free Possibilistic Inference. BELIEF Leonardo Cella, Ryan Martin
2021	J	`jnl`	Generalized inferential models for censored data. Int. J. Approx. Reason. Joyce Cahoon, Ryan Martin
2021	—	`conf`	Stochastic Optimization for Numerical Evaluation of Imprecise Probabilities. ISIPTA Nicholas Syring, Ryan Martin
2021	J	`jnl`	The Zebrafish Information Network: major gene page and home page updates. Nucleic Acids Res. 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
2021	—	`conf`	Towards a Theory of Valid Inferential Models with Partial Prior Information. BELIEF Ryan Martin
2021	—	`conf`	Valid Inferential Models for Prediction in Supervised Learning Problems. ISIPTA Leonardo Cella, Ryan Martin
2020	J	`jnl`	Empirical Priors for Prediction in Sparse High-dimensional Linear Regression. J. Mach. Learn. Res. Ryan Martin, Yiqi Tang
2020	J	`jnl`	Performance of clustering for the decision of stationarity; A case study with a nickel laterite deposit. Comput. Geosci. Ryan Martin, Jeff B. Boisvert
2019	J	`jnl`	False confidence, non-additive beliefs, and valid statistical inference. Int. J. Approx. Reason. Ryan Martin
2019	—	`conf`	Incorporating Expert Opinion in an Inferential Model while Maintaining Validity. ISIPTA Leonardo Cella, Ryan Martin
2019	—	`conf`	On Valid Uncertainty Quantification About a Model. ISIPTA Ryan Martin
2019	J	`jnl`	On an algorithm for solving Fredholm integrals of the first kind. Stat. Comput. Minwoo Chae, Ryan Martin, Stephen G. Walker
2019	—	`conf`	Possibility Measures for Valid Statistical Inference Based on Censored Data. ISIPTA Joyce Cahoon, Ryan Martin
2019	J	`jnl`	Ten Hot Topics around Scholarly Publishing. Publ. 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
2019	J	`jnl`	The Zebrafish Information Network: new support for non-coding genes, richer Gene Ontology annotations and the Alliance of Genome Resources. Nucleic Acids Res. 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
2019	—	`conf`	Validity-Preservation Properties of Rules for Combining Inferential Models. ISIPTA Ryan Martin, Nicholas Syring
2019	J	`jnl`	Variational approximations using Fisher divergence. CoRR Yue Yang, Ryan Martin, Howard D. Bondell
2018	J	`jnl`	Towards justifying unsupervised stationary decisions for geostatistical modeling: Ensemble spatial and multivariate clustering with geomodeling specific clustering metrics. Comput. Geosci. Ryan Martin, Jeff B. Boisvert
2017	J	`jnl`	Efficient simulation from a gamma distribution with small shape parameter. Comput. Stat. Chuanhai Liu, Ryan Martin, Nicholas Syring
2017	J	`jnl`	Iterative refinement of implicit boundary models for improved geological feature reproduction. Comput. Geosci. Ryan Martin, Jeff B. Boisvert
2017	—	`ch.`	Prior-Free Probabilistic Inference for Econometricians. Robustness in Econometrics Ryan Martin
2017	J	`jnl`	The Zebrafish Model Organism Database: new support for human disease models, mutation details, gene expression phenotypes and searching. Nucleic Acids Res. 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
2016	J	`jnl`	A semiparametric scale-mixture regression model and predictive recursion maximum likelihood. Comput. Stat. Data Anal. Ryan Martin, Zhen Han
2016	—	`conf`	Multilingual Search with Machine Translation in the Intel Communities. AMTA (2) Ryan Martin
2016	J	`jnl`	Prior-Free Probabilistic Prediction of Future Observations. Technometrics Ryan Martin, Rama T. Lingham
2013	J	`jnl`	An Approximate Bayesian Marginal Likelihood Approach for Estimating Finite Mixtures. Commun. Stat. Simul. Comput. Ryan Martin
2013	J	`jnl`	ZFIN, the Zebrafish Model Organism Database: increased support for mutants and transgenics. Nucleic Acids Res. 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
2012	J	`jnl`	On ε-Optimality of the Pursuit Learning Algorithm. J. Appl. Probab. Ryan Martin, Omkar J. Tilak
2011	J	`jnl`	Decentralized Indirect Methods for Learning Automata Games. IEEE Trans. Syst. Man Cybern. Part B Omkar J. Tilak, Ryan Martin, Snehasis Mukhopadhyay
2011	J	`jnl`	On epsilon-optimality of the pursuit learning algorithm CoRR Ryan Martin, Omkar J. Tilak
2011	J	`jnl`	ZFIN: enhancements and updates to the zebrafish model organism database. Nucleic Acids Res. 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
2010	J	`jnl`	Lower Bounds for Identifying Codes in some Infinite Grids. Electron. J. Comb. Ryan Martin, Brendon Stanton
2008	C	`conf`	Automation of compressor test procedure using advantech data acquisition module. ICARCV Abdul Md. Mazid, Ryan Martin