Thomas J. DiCiccio

Cornell University — United States

Mathematics · Physical Sciences

29h-index7.1kcitations89works0.02yr avg
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Research Topics

Statistical Methods and Inference(46), Statistical Methods and Bayesian Inference(39), Advanced Statistical Methods and Models(30), Statistical Distribution Estimation and Applications(16), Bayesian Methods and Mixture Models(13)

Publications89 total

Confidence Intervals for Seroprevalence
Statistical Science·2022· 6 cited
Confidence Intervals for Seroprevalence
arXiv (Cornell University)·2021Open Access
Learning during the COVID-19 pandemic: It is not who you teach, but how you teach
Economics Letters·2021· 149 citedOpen Access
Learning During the COVID-19 Pandemic: It Is Not Who You Teach, but How You Teach
2020· 24 citedOpen Access
Exact tests via multiple data splitting
Statistics & Probability Letters·2020· 33 cited
Learning during the COVID-19 Pandemic: It Is Not Who You Teach, but How You Teach
RePEc: Research Papers in Economics·2020· 1 cited
Learning During the COVID-19 Pandemic: It is Not Who You Teach, But How You Teach
SSRN Electronic Journal·2020· 20 citedOpen Access
DIFFUSION OF INNOVATION IN SUSTAINABLE BUILDING PRACTICES AND THE ROLE OF STAKEHOLDERS
Journal of Green Building·2018· 7 cited
Testing for sub-models of the skew t-distribution
Statistical Methods & Applications·2017· 4 cited
The formal relationship between analytic and bootstrap approaches to parametric inference
Journal of Statistical Planning and Inference·2017· 2 cited
A Simple Analysis of the Exact Probability Matching Prior in the Location-Scale Model
The American Statistician·2016· 4 cited
ACCURATE PROCEDURES FOR APPROXIMATE BAYESIAN AND CONDITIONAL INFERENCE WITHOUT THE NEED FOR ORTHOGONAL PARAMETERS BY
2016
Quantifying nuisance parameter effects via decompositions of asymptotic refinements for likelihood-based statistics
Journal of Statistical Planning and Inference·2015Open Access
Quantifying nuisance parameter effects via decompositions of asymptotic\n refinements for likelihood-based statistics
arXiv (Cornell University)·2015Open Access
Quantifying nuisance parameter eects via decompositions of asymptotic renements for likelihood-based statistics
2015
Stability and uniqueness of p-values for likelihood-based inference
Statistica Sinica·2014· 3 citedOpen Access
Poster 1023: Dupilumab suppresses Th2 inflammation in adult asthma and atopic dermatitis
World Allergy Organization Journal·2014· 2 citedOpen Access
Objective Bayes, conditional inference and the signed root likelihood ratio statistic
Biometrika·2012· 2 citedOpen Access
Jackknifed whittle estimators
Statistica Sinica·2012· 3 cited
Technical note: The risk ratio, an alternative to the odds ratio for estimating the association between multiple risk factors and a dichotomous outcome
Journal of Dairy Science·2012· 50 citedOpen Access
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Frequent Co-authors

Joseph P. Romano(11), Michael A. Martin(7), G. A. Young(7), Steven Stern(5), Bradley Efron(4), Douglas McKee(3), Austin Boyle(3), Tyler Ransom(3), Alex Rees-Jones(3), Robert E. Kass(2), Adrian E. Raftery(2), George Orlov(2), James Berry(2), Jörg Stoye(2), Anna Clara Monti(2), D. A. S. Fraser(2), L. H. Wasserman(2), Robert Tibshirani(2), Christopher A. Field(2), Larry Wasserman(1)