V. Johnson

发表

Fully Bayesian estimation of Gibbs hyperparameters for emission computed tomography data

Ronald J. Jaszczak, James E. Bowsher, David R. Gilland, 1997, IEEE Transactions on Medical Imaging.

A Model for Segmentation and Analysis of Noisy Images

V. Johnson, 1994 .

Grade Inflation: A Crisis in College Education

V. Johnson, 2003 .

Bayesian Model Assessment Using Pivotal Quantities

V. Johnson, 2007 .

Goodness‐of‐Fit Diagnostics for Bayesian Hierarchical Models

V. Johnson, Ying Yuan, 2012, Biometrics.

A Coupling-Regeneration Scheme for Diagnosing Convergence in Markov Chain Monte Carlo Algorithms

V. Johnson, 1998 .

Redefine statistical significance

Christopher D. Chambers, Felix D. Schönbrodt, Jeffrey N. Rouder, 2017, Nature Human Behaviour.

Studying Convergence of Markov Chain Monte Carlo Algorithms Using Coupled Sample Paths

V. Johnson, 1996 .

Bayesian Design of Single-arm Phase II Clinical Trials with Continuous Monitoring

V. Johnson, J. D. Cook, 2009, Clinical trials.

Ordinal Data Modeling

Jim Albert, Valen E. Johnson, V. Johnson, 2000 .

An alternative to traditional GPA for evaluating student performance

V. Johnson, 1997 .

Posterior Distributions on Normalizing Constants

V. Johnson, 1999 .

Bayesian Model Selection in High-Dimensional Settings

V. Johnson, D. Rossell, 2012, Journal of the American Statistical Association.

Log-Linear Models for Gene Association

V. Johnson, Adarsh Joshi, J. Hu, 2009, Journal of the American Statistical Association.

Do Some Taxa Have Better Domain-General Cognition than others? A Meta-Analysis of Nonhuman Primate Studies

V. Johnson, R. Deaner, C. V. van Schaik, 2006 .

On the use of non‐local prior densities in Bayesian hypothesis tests

V. Johnson, D. Rossell, 2010 .

Revised standards for statistical evidence

V. Johnson, 2013, Proceedings of the National Academy of Sciences.

UNIFORMLY MOST POWERFUL BAYESIAN TESTS.

V. Johnson, 2013, Annals of statistics.

Bayesian image reconstruction in positron emission tomography

V. Johnson, C. Metz, Xiaoping Hu, 1990 .

A Modular Mind? A Test Using Individual Data from Seven Primate Species

Bradley J. Barney, V. Johnson, J. Call, 2012, PloS one.

On the Reproducibility of Psychological Science

Valen E. Johnson, Richard D. Payne, Tianying Wang, 2017, Journal of the American Statistical Association.

A Bayesian Chi-Squared Test for Goodness of Fit

Valen E. Johnson, V. Johnson, 2004 .

Properties of Bayes Factors Based on Test Statistics

Valen E. Johnson, V. Johnson, 2008 .

Bayesian adaptive phase II screening design for combination trials

V. Johnson, Ying Yuan, Chunyan C Cai, 2013, Clinical trials.

Fully Bayesian Reconstruction of Positron Emission Tomography Data

V. Johnson, T. Turkington, D. Higdon, 1994 .

Improved lesion detection and quantification in emission tomography using anatomical and physiological prior information

Ronald J. Jaszczak, James E. Bowsher, Valen E. Johnson, 1993, 1993 IEEE Conference Record Nuclear Science Symposium and Medical Imaging Conference.

Functional Horseshoe Priors for Subspace Shrinkage

V. Johnson, A. Bhattacharya, Minsuk Shin, 2016, Journal of the American Statistical Association.

Bayes factors based on test statistics

Valen E. Johnson, V. Johnson, 2005 .

BAYESIAN HYPOTHESIS TESTS USING NONPARAMETRIC STATISTICS

V. Johnson, Ying Yuan, 2008 .

Joint Bayesian Modeling of Binomial and Rank Data for Primate Cognition

Bradley J. Barney, V. Johnson, J. Call, 2015 .

RESTRICTED MOST POWERFUL BAYESIAN TESTS A Dissertation by SCOTT DAVID GODDARD Submitted to the Office of Graduate and Professional Studies of Texas A&M University in partial fulfillment of the requirements for the degree of DOCTOR OF PHILOSOPHY

V. Johnson, R. Carroll, B. Mallick, 2015 .

Restricted most powerful Bayesian tests for linear models

V. Johnson, S. D. Goddard, 2016 .

A Bayesian Chi‐Squared Goodness‐of‐Fit Test for Censored Data Models

V. Johnson, Jing Cao, A. Moosman, 2010, Biometrics.

Reply to Gelman, Gaudart, Pericchi: More reasons to revise standards for statistical evidence

V. Johnson, 2014, Proceedings of the National Academy of Sciences.

Assessing fit in Bayesian models for spatial processes

V. Johnson, M. Katzfuss, M. Jun, 2014 .

Estimation of Probe Cell Locations in High-density Synthetic-oligonucleotide DNA Microarrays

V. Johnson, R. Spang, M. West, 2001 .

On biases in assessing replicability, statistical consistency and publication bias

V. Johnson, 2013 .

Bayesian Analysis of Rank Data with Appli ationto Primate

V. Johnson, R. Deaner, Carel P. van S haik, 2007 .

Edinburgh Research Explorer Redefine statistical significance

Felix D. Schönbrodt, Jeffrey N. Rouder, T. Cook, 2019 .

A Bayesian x2 test for goodness-of-fit

V. Johnson, 2004, math/0508593.

Bayes factor functions for reporting outcomes of hypothesis tests

V. Johnson, Sandipan Pramanik, Rachael Shudde, 2022, 2210.00049.

A Hyperparameter-Free, Fast and Efficient Framework to Detect Clusters From Limited Samples Based on Ultra High-Dimensional Features

V. Johnson, S. Rao, Shahina Rahman, 2022, IEEE Access.

Priors on scale-space templates

Alyson G. Wilson, Valen E. Johnson, V. Johnson, 1994, Optics & Photonics.

Evidence From Marginally Significant t Statistics

V. Johnson, 2019, The American statistician.

Novel statistical analysis of two sources of digital chest radiographs

Carey E. Floyd, Valen E. Johnson, Alan H. Baydush, 1996, Medical Imaging.

BAYESIAN VARIABLE SELECTION FOR SURVIVAL DATA USING INVERSE MOMENT PRIORS.

Valen E. Johnson, Wenyi Wang, Amir Nikooienejad, 2017, The annals of applied statistics.

Bayesian variable selection for binary outcomes in high-dimensional genomic studies using non-local priors

Wenyi Wang, Valen E. Johnson, Amir Nikooienejad, 2016, Bioinform..

Videofluoroscopic assessment of dysphagia in children with severe spastic cerebral palsy

Valen Johnson, V. Johnson, P. Mirrett, 2004, Dysphagia.

Bayesian reconstruction and use of anatomical a priori information for emission tomography

Ronald J. Jaszczak, James E. Bowsher, Carey E. Floyd, 1996, IEEE Trans. Medical Imaging.

General Intelligence in Another Primate: Individual Differences across Cognitive Task Performance in a New World Monkey (Saguinus oedipus)

Valen E. Johnson, Christopher F. Chabris, Marc D. Hauser, 2009, PloS one.

Scalable Bayesian Variable Selection Using Nonlocal Prior Densities in Ultrahigh-dimensional Settings.

Minsuk Shin, Anirban Bhattacharya, Valen E Johnson, 2015, Statistica Sinica.

Segmentation, registration, and measurement of shape variation via image object shape

Paul A. Yushkevich, Edward L. Chaney, Stephen M. Pizer, 1999, IEEE Transactions on Medical Imaging.

Comment: Bayesian Checking of the Second Levels of Hierarchical Models

Valen E. Johnson, V. Johnson, 2007, 0802.0749.

A Fast Algorithm for Clustering High Dimensional Feature Vectors pdf

Valen E. Johnson, Shahina Rahman, V. Johnson, 2018, ArXiv.

A robust Bayesian dose-finding design for phase I/II clinical trials.

Suyu Liu, Valen E Johnson, V. Johnson, 2016, Biostatistics.

Bayesian model selection using test statistics

Jianhua Hu, Valen E Johnson, V. Johnson, 2009, Journal of the Royal Statistical Society. Series B, Statistical methodology.

A note on stopping rules in EM-ML reconstructions of ECT images

Valen E. Johnson, V. Johnson, 1994, IEEE Trans. Medical Imaging.

A Technique for Estimating Marginal Posterior Densities in Hierarchical Models Using Mixtures of Conditional Densities

Valen E. Johnson, V. Johnson, 1992 .

Bayesian Analysis of Rank Data With Application to Primate Intelligence Experiments

Valen E Johnson, Robert O Deaner, Carel P van Schaik, 2002 .

A Framework for Incorporating Structural Prior Information into the Estimation of Medical Images

Valen E. Johnson, V. Johnson, 1993, IPMI.

Image Restoration Using Gibbs Priors: Boundary Modeling, Treatment of Blurring, and Selection of Hyperparameter

Chin-Tu Chen, Xiaoping Hu, Valen E. Johnson, 1991, IEEE Trans. Pattern Anal. Mach. Intell..

Segmentation of Medical Image Objects Using Deformable Shape Loci

Edward L. Chaney, Stephen M. Pizer, Valen E. Johnson, 1996, IPMI.

Image Restoration and Reconstruction

Valen E. Johnson, V. Johnson, 2006 .

A Modified Sequential Probability Ratio Test.

V. Johnson, A. Bhattacharya, Sandipan Pramanik, 2018, Journal of mathematical psychology.

Evaluation of image registration spatial accuracy using a Bayesian hierarchical model

Ying Yuan, Thomas Guerrero, Suyu Liu, 2014, Biometrics.

Boundary Estimation in Ultrasound Images

Stephen M. Pizer, Valen E. Johnson, W. J. Lin, 1991, IPMI.

Surface Estimation in Ultrasound Images

Stephen M. Pizer, Valen E. Johnson, V. Johnson, 2010 .

Statistical analysis of the National Institutes of Health peer review system

Valen E Johnson, V. Johnson, 2008, Proceedings of the National Academy of Sciences.

On Bayesian Analysis of Multirater Ordinal Data: An Application to Automated Essay Grading

Valen E. Johnson, V. Johnson, 1996 .

Analysis and Reconstruction of Medical Images Using Prior Information

Ronald J. Jaszczak, James E. Bowsher, Valen E. Johnson, 1995 .

Bayesian Poisson hierarchical models for crash data analysis: Investigating the impact of model choice on site-specific predictions.

Dominique Lord, Valen Johnson, V. Johnson, 2018, Accident; analysis and prevention.

Using the left Gram matrix to cluster high dimensional data

V. Johnson, S. Rao, Shahina Rahman, 2022, SSRN Electronic Journal.

Bayesian Variable Selection in High Dimensional Survival Time Cancer Genomic Datasets using Nonlocal Priors

Valen E. Johnson, Wenyi Wang, Amir Nikooienejad, 2017 .

Incorporation of correlated structural images in PET image reconstruction

Chin-Tu Chen, Xiaoping Hu, Valen E. Johnson, 1994, IEEE Trans. Medical Imaging.

Simultaneous reconstruction, segmentation, and edge enhancement of relatively piecewise continuous images with intensity-level information.

V. Johnson, R. Jaszczak, R. Coleman, 1991, Medical physics.

GWASinlps: non‐local prior based iterative SNP selection tool for genome‐wide association studies

Ole A. Andreassen, Valen E. Johnson, Chi-Hua Chen, 2018, Bioinform..

Beyond Grade Inflation: Grading Problems in Higher Education (review)

V. Johnson, 2006 .

Image segmentation in Bayesian reconstructions for emission computed tomography

C.E. Floyd, J.E. Bowsher, V.E. Johnson, 1991, Conference Record of the 1991 IEEE Nuclear Science Symposium and Medical Imaging Conference.

Data Augmentation Schemes Applied to Image Restoration

Chin-Tu Chen, Xiaoping Hu, Valen E. Johnson, 1992 .

Bayesian restoration of PET images using Gibbs priors.

C T Chen, W H Wong, V E Johnson, 1991, Progress in clinical and biological research.

Redefine statistical significance

Christopher D. Chambers, Felix D. Schönbrodt, Jeffrey N. Rouder, 2017, Nature Human Behaviour.

Bayes Factors Based on Test Statistics Under Order Restrictions

Valen E. Johnson, Veerabhadran Baladandayuthapani, David Rossell, 2008 .

On the Existence of Uniformly Most Powerful Bayesian Tests With Application to Non-Central Chi-Squared Tests.

V. Johnson, Amir Nikooienejad, 2018, Bayesian analysis.

UNIFORMLY MOST POWERFUL BAYESIAN TESTS.

V. Johnson, 2013, Annals of statistics.

Higher significance with smaller samples: A modified Sequential Probability Ratio Test

V. Johnson, A. Bhattacharya, Sandipan Pramanik, 2018, 1811.08478.

Edinburgh Research Explorer Redefine statistical significance

Felix D. Schönbrodt, Jeffrey N. Rouder, T. Cook, 2019 .

High-Dimensional Bayesian Classifiers Using Non-Local Priors

Valen E. Johnson, David Rossell, Donatello Telesca, 2013, Statistical Models for Data Analysis.