Ryan Martin

发表

On Posterior Concentration in Misspecified Models

R. Ramamoorthi, Karthik Sriram, Ryan Martin, 2013, 1312.4620.

Plausibility Functions and Exact Frequentist Inference

Ryan Martin, 2012, 1203.6665.

Inferential Models: A Framework for Prior-Free Posterior Probabilistic Inference

Chuanhai Liu, Ryan Martin, 2012, 1206.4091.

CONSISTENCY OF A RECURSIVE ESTIMATE OF MIXING DISTRIBUTIONS

J. Ghosh, Ryan Martin, S. Tokdar, 2009, 0908.3418.

Inferential Models: Reasoning with Uncertainty

Chuanhai Liu, Ryan Martin, 2015 .

Efficient pseudo-Bayesian inference on the volatility of a jump diffusion process

Ryan Martin, Cheng Ouyang, Francois Domagni, 2016 .

Efficient posterior inference on the volatility of a jump diffusion process

Ryan Martin, Cheng Ouyang, Francois Domagni, 2016, 1608.06663.

Ecient pseudo-Bayesian inference on the volatility of a jump diusion process

Ryan Martin, Cheng Ouyang, Francois Domagni, 2016 .

Valid Model-Free Prediction of Future Insurance Claims

Ryan Martin, Liang Hong, L. Hong, 2019, North American Actuarial Journal.

A note on p-values interpreted as plausibilities

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

Dirichlet process mixture models for insurance loss data

Ryan Martin, Liang Hong, L. Hong, 2017 .

Real-time Bayesian non-parametric prediction of solvency risk

Ryan Martin, Liang Hong, L. Hong, 2018, Annals of Actuarial Science.

Model misspecification, Bayesian versus credibility estimation, and Gibbs posteriors

Ryan Martin, Liang Hong, 2020 .

Valid distribution-free inferential models for prediction

Ryan Martin, Leonardo Cella, 2020 .

Asymptotically minimax empirical Bayes estimation of a sparse normal mean vector

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

Empirical Bayes posterior concentration in sparse high-dimensional linear models

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

Simulating from a gamma distribution with small shape parameter

Chuanhai Liu, Ryan Martin, Nicholas Syring, 2013, 1302.1884.

Permutation-based uncertainty quantification about a mixing distribution

Ryan Martin, Vaidehi Dixit, 2019, 1906.05349.

A mathematical characterization of confidence as valid belief

Ryan Martin, 2017, 1707.00486.

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.

Posterior inference on the boundary of a noisy image via a Gibbs model

Ryan Martin, Nicholas Syring, 2016 .

Finite mixture models with predictive recursion marginal likelihood

Ryan Martin, 2011 .

Valid Model-Free Prediction of Future Insurance Claims

Ryan Martin, Liang Hong, 2020, North American Actuarial Journal.

A Flexible Bayesian Nonparametric Model for Predicting Future Insurance Claims

Ryan Martin, Liang Hong, 2016 .

A Review of Bayesian Asymptotics in General Insurance Applications

Ryan Martin, Liang Hong, 2016 .

Optimal Bayesian posterior concentration rates with empirical priors

S. Walker, Ryan Martin, 2016 .

Variational approximations of empirical Bayes posteriors in high-dimensional linear models

Ryan Martin, Yue Yang, 2020, 2007.15930.

Bayesian Test of Normality Versus a Dirichlet Process Mixture Alternative

Ryan Martin, S. Tokdar, 2011, Sankhya B.

Final Report : Variations on Bayesian Prediction and Inference Report Title

Ryan Martin, Ryan Martin, 2016 .

Robust regression via predictive recursion maximum likelihood

Ryan Martin, Zhen Han, 2013 .

Semiparametric inference in mixture models with predictive recursion marginal likelihood

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

Inferential Models

Chuanhai Liu, Ryan Martin, Dawid, 2011 .

An empirical $G$-Wishart prior for sparse high-dimensional Gaussian graphical models

Ryan Martin, Chang Liu, 2019, 1912.03807.

Optimal prior-free probabilistic variable selection in Gaussian linear regression

Chuanhai Liu, Ryan Martin, Huiping Xu, 2014 .

Valid uncertainty quantification about the model in a linear regression setting

Chuanhai Liu, Ryan Martin, Huiping Xu, 2014, 1412.5139.

Valid model-free spatial prediction

Ryan Martin, B. Reich, Huiying Mao, 2020, 2006.15640.

Likelihood-free Bayesian inference on the minimum clinically important difference

Ryan Martin, Nicholas Syring, 2015, 1501.01840.

Marginal inferential models

Ryan Martin, 2011 .

Bayesian inference in high-dimensional linear models using an empirical correlation-adaptive prior

Ryan Martin, H. Bondell, Chang Liu, 2018, 1810.00739.

Strong validity, consonance, and conformal prediction

Ryan Martin, Leonardo Cella, 2020 .

Rethinking Probabilistic Prediction in the Wake of the 2016 U.S. Presidential Election

Ryan Martin, Harry Crane, 2017, 1704.01171.

Coverage Probability Fails to Ensure Reliable Inference

Ryan Martin, S. Ferson, M. Balch, 2019 .

On recursive predictive distributions

S. Walker, Ryan Martin, P. R. Hahn, 2015 .

Empirical Priors and Coverage of Posterior Credible Sets in a Sparse Normal Mean Model

Ryan Martin, Bo Ning, 2018, Sankhya A.

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

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

A comparison of learning rate selection methods in generalized Bayesian inference

Ryan Martin, Pei-Shien Wu, 2020, 2012.11349.

Robust regression modeling and predictive recursion maximum likelihood

Ryan Martin, Zhen Han, 2013 .

GENERAL THEORY OF INFERENTIAL MODELS I . CONDITIONAL INFERENCE

Chuanhai Liu, Ryan Martin, Jing-Shiang Hwang, 2010 .

Discussion: Foundations of Statistical Inference, Revisited

Chuanhai Liu, Ryan Martin, 2013, 1312.7183.

Valid uncertainty quantification about the model in a linear regression setting

Chuanhai Liu, Ryan Martin, Huiping Xu, 2014, 1412.5139.

Valid and efficient imprecise-probabilistic inference across a spectrum of partial prior information

Ryan Martin, 2022, 2203.06703.

Direct Gibbs posterior inference on risk minimizers: construction, concentration, and calibration

Ryan Martin, Nichols Syring, 2022, 2203.09381.

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

Ryan Martin, Leonardo Cella, 2021, 2112.10232.

Validity and the foundations of statistical inference

Chuanhai Liu, Ryan Martin, 2016 .

Validity, consonant plausibility measures, and conformal prediction

Ryan Martin, Leonardo Cella, 2020, Int. J. Approx. Reason..

A review of Bayesian asymptotics in general insurance applications

Ryan Martin, Liang Hong, L. Hong, 2016 .

Optimal inferential models for a Poisson mean

Chuanhai Liu, Ryan Martin, D. Leaf, 2012, 1207.0105.

2 Plausibility functions 2 . 1 Construction

Ryan Martin, 2014 .

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

Ryan Martin, Leonardo Cella, 2021, Int. J. Approx. Reason..

Valid and eﬃcient imprecise-probabilistic inference across a spectrum of partial prior information

Ryan Martin, 2022 .

Estimating a Mixing Distribution on the Sphere Using Predictive Recursion

Ryan Martin, Vaidehi Dixit, 2020, Sankhya B.

Valid model-free spatial prediction

Ryan Martin, B. Reich, Huiying Mao, 2020, Journal of the American Statistical Association.

Dempster-Shafer Theory and Statistical Inference with Weak Beliefs

Chuanhai Liu, Ryan Martin, Jianchun Zhang, 2010, 1011.0819.

Model misspecification, Bayesian versus credibility estimation, and Gibbs posteriors

Ryan Martin, Liang Hong, 2019, Scandinavian Actuarial Journal.

Discussion on 'q-Credibility' by Olivier Le Courtois

Ryan Martin, Liang Hong, 2019 .

A Flexible Bayesian Nonparametric Model for Predicting Future Insurance Claims

Ryan Martin, Liang Hong, 2016 .

Data-driven priors and their posterior concentration rates

S. Walker, Ryan Martin, 2016, Electronic Journal of Statistics.

Calibrating general posterior credible regions

Ryan Martin, Nicholas Syring, 2015, Biometrika.

Scaling the Gibbs posterior credible regions

Ryan Martin, Nicholas Syring, 2015 .

Empirical Priors for Prediction in Sparse High-dimensional Linear Regression

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

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

Ryan Martin, Ryan Martin, 2021, 2101.02983.

Asymptotically optimal empirical Bayes inference in a piecewise constant sequence model

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

Fast nonparametric estimation of a mixing distribution with application to high-dimensional inference

Ryan Martin, 2009 .

An imprecise-probabilistic characterization of frequentist statistical inference

Ryan Martin, Ryan Martin, 2021, 2112.10904.

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

Ryan Martin, Zhen Han, 2013, Comput. Stat. Data Anal..

An Approximate Bayesian Marginal Likelihood Approach for Estimating Finite Mixtures

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

Convergence of an iterative algorithm to the nonparametric MLE of a mixing distribution

S. Walker, Ryan Martin, Minwoo Chae, 2018, Statistics & Probability Letters.

Fast nonparametric near-maximum likelihood estimation of a mixing density

S. Walker, Ryan Martin, Minwoo Chae, 2017, 1712.03852.

Asymptotic properties of predictive recursion: Robustness and rate of convergence

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

On Prediction of Future Insurance Claims When the Model Is Uncertain

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

A Survey of Nonparametric Mixing Density Estimation via the Predictive Recursion Algorithm

Ryan Martin, 2019, Sankhya B.

A Survey of Nonparametric Mixing Density Estimation via the Predictive Recursion Algorithm

Ryan Martin, 2018, Sankhya B.

Satellite conjunction analysis and the false confidence theorem

Scott Ferson, Michael S. Balch, Ryan Martin, 2017, Proceedings of the Royal Society A.

Variational approximations using Fisher divergence pdf

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

Bayesian Foundations of Insurance

Ryan Martin, Zhiqiang Yan, L. Hong, 2013 .

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

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

Gibbs posterior concentration rates under sub-exponential type losses

Ryan Martin, Nicholas Syring, 2020, Bernoulli.

Gibbs posterior inference on a Levy density under discrete sampling

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

Calibrating generalized predictive distributions

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

Gibbs posterior inference on multivariate quantiles

Ryan Martin, Indrabati Bhattacharya, 2020, Journal of Statistical Planning and Inference.

A comparison of learning rate selection methods in generalized Bayesian inference

Ryan Martin, Pei-Shien Wu, 2020, 2012.11349.

Model-free posterior inference on the area under the receiver operating characteristic curve

Ryan Martin, Zhe Wang, 2019, 1906.08296.

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

Ryan Martin, Ryan Martin, 2016, Int. J. Approx. Reason..

A note on Bayesian convergence rates under local prior support conditions

S. Walker, Ryan Martin, L. Hong, 2012, 1201.3102.

GENERAL THEORY OF INFERENTIAL MODELS II. MARGINAL INFERENCE

Chuanhai Liu, Ryan Martin, Jing-Shiang Hwang, 2010 .

Stochastic Approximation and Newton’s Estimate of a Mixing Distribution

J. Ghosh, Ryan Martin, 2008, 1102.3592.

Revisiting consistency of a recursive estimator of mixing distributions

Ryan Martin, Vaidehi Dixit, 2021, Electronic Journal of Statistics.

Empirical Priors and Posterior Concentration Rates for a Monotone Density

Ryan Martin, 2017, Sankhya A.

On Recursive Bayesian Predictive Distributions

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

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

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

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

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

Ten myths around open scholarly publishing

Bianca Kramer, Tom Crick, Asura Enkhbayar, 2019 .

Ten Hot Topics around Scholarly Publishing

Bianca Kramer, Tom Crick, Jonathan P. Tennant, 2019, Publ..

Validity, consonant plausibility measures, and conformal prediction

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

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.

Inferential models and possibility measures

Chuanhai Liu, Ryan Martin, 2020, 2008.06874.

Towards a Theory of Valid Inferential Models with Partial Prior Information

Ryan Martin, Ryan Martin, 2021, BELIEF.

On an inferential model construction using generalized associations

Ryan Martin, 2015, 1511.06733.

Prior-Free Probabilistic Prediction of Future Observations

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

Generalized inferential models for censored data

Ryan Martin, Joyce Cahoon, Ryan Martin, 2019, Int. J. Approx. Reason..

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

Ryan Martin, Joyce Cahoon, 2019, 1910.00533.

On Valid Uncertainty Quantification About a Model

Ryan Martin, Ryan Martin, 2019, ISIPTA.

Possibility Measures for Valid Statistical Inference Based on Censored Data

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

Incorporating Expert Opinion in an Inferential Model while Maintaining Validity

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

Frameworks for prior‐free posterior probabilistic inference

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

Foundations of statistical inference, revisited

Chuanhai Liu, Ryan Martin, 2013 .

Prior-Free Probabilistic Inference for Econometricians

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

GENERAL THEORY OF INFERENTIAL MODELS I . CONDITIONAL INFERENCE

Chuanhai Liu, Ryan Martin, Jing-Shiang Hwang, 2010 .

Identifying Consumer-Welfare Changes when Online Search Platforms Change Their List of Search Results

Ryan Martin, Ryan Martin, 2020 .

Asymptotically Optimal Nonparametric Empirical Bayes Via Predictive Recursion

Ryan Martin, 2012, 1210.5235.

Convergence rate for predictive recursion estimation of finite mixtures

Ryan Martin, 2011, 1106.4223.

Inferential Models for Linear Regression

Ryan Martin, Huiping Xu, Zuoyi Zhang, 2011 .

InferentialModels forLinear Regression

Ryan Martin, Huiping Xu, Zuoyi Zhang, 2011 .

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).

Gibbs posterior inference on value-at-risk

Ryan Martin, Liang Hong, Nicholas Syring, 2018, Scandinavian Actuarial Journal.

On an algorithm for solving Fredholm integrals of the first kind

S. Walker, Ryan Martin, Minwoo Chae, 2017, Stat. Comput..

A conversation with Samad Hedayat

Min Yang, Ryan Martin, John Stufken, 2016 .

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

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