| Year |
Citation |
Score |
| 2019 |
Luna JM, Gennatas ED, Ungar LH, Eaton E, Diffenderfer ES, Jensen ST, Simone CB, Friedman JH, Solberg TD, Valdes G. Building more accurate decision trees with the additive tree. Proceedings of the National Academy of Sciences of the United States of America. PMID 31527280 DOI: 10.1073/Pnas.1816748116 |
0.329 |
|
| 2019 |
Humphrey CH, Small DS, Jensen ST, Volpp KG, Asch DA, Zhu J, Troxel AB. Modeling lottery incentives for daily adherence. Statistics in Medicine. PMID 30941805 DOI: 10.1002/Sim.8149 |
0.32 |
|
| 2019 |
Balocchi C, Jensen ST. Spatial modeling of trends in crime over time in Philadelphia The Annals of Applied Statistics. 13: 2235-2259. DOI: 10.1214/19-Aoas1280 |
0.31 |
|
| 2017 |
Satopää VA, Jensen ST, Pemantle R, Ungar LH. Partial information framework: Model-based aggregation of estimates from diverse information sources Electronic Journal of Statistics. 11: 3781-3814. DOI: 10.1214/17-Ejs1346 |
0.352 |
|
| 2016 |
Deshpande SK, Jensen ST. Estimating an NBA player's impact on his team's chances of winning Journal of Quantitative Analysis in Sports. 12: 51-72. DOI: 10.1515/Jqas-2015-0027 |
0.351 |
|
| 2015 |
Jensen ST, Shore SH. Changes in the distribution of earnings volatility Journal of Human Resources. 50: 811-836. DOI: 10.3368/Jhr.50.3.811 |
0.316 |
|
| 2015 |
Baumer BS, Jensen ST, Matthews GJ. OpenWAR: An open source system for evaluating overall player performance in major league baseball Journal of Quantitative Analysis in Sports. 11: 69-84. DOI: 10.1515/Jqas-2014-0098 |
0.331 |
|
| 2014 |
Mulholland J, Jensen ST. Predicting the draft and career success of tight ends in the National Football League Journal of Quantitative Analysis in Sports. 10: 381-396. DOI: 10.1515/Jqas-2013-0134 |
0.336 |
|
| 2014 |
Bleich J, Kapelner A, George EI, Jensen ST. Variable selection for bart: An application to gene regulation Annals of Applied Statistics. 8: 1750-1781. DOI: 10.1214/14-Aoas755 |
0.363 |
|
| 2014 |
Satopää VA, Jensen ST, Mellers BA, Tetlock PE, Ungar LH. Probability aggregation in time-series: Dynamic hierarchical modeling of sparse expert beliefs Annals of Applied Statistics. 8: 1256-1280. DOI: 10.1214/14-Aoas739 |
0.356 |
|
| 2014 |
A. Entine O, Small DS, Jensen ST, Sanchez G, Bastos M, R. Verastegui M, Levy MZ. Disease Diagnosis from Immunoassays with Plate to Plate Variability: A Hierarchical Bayesian Approach Statistics in Biosciences. DOI: 10.1007/S12561-014-9113-5 |
0.315 |
|
| 2013 |
Wojcechowskyj JA, Didigu CA, Lee JY, Parrish NF, Sinha R, Hahn BH, Bushman FD, Jensen ST, Seeholzer SH, Doms RW. Quantitative phosphoproteomics reveals extensive cellular reprogramming during HIV-1 entry. Cell Host & Microbe. 13: 613-23. PMID 23684312 DOI: 10.1016/J.Chom.2013.04.011 |
0.306 |
|
| 2013 |
Gramacy RB, Jensen ST, Taddy M. Estimating player contribution in hockey with regularized logistic regression Journal of Quantitative Analysis in Sports. 9: 97-111. DOI: 10.1515/Jqas-2012-0001 |
0.372 |
|
| 2013 |
Thomas AC, Ventura SL, Jensen ST, Ma S. Competing process hazard function models for player ratings in ice hockey Annals of Applied Statistics. 7: 1497-1524. DOI: 10.1214/13-Aoas646 |
0.366 |
|
| 2013 |
Jensen ST, Park J, Braunstein AF, McAuliffe J. Bayesian hierarchical modeling of the HIV evolutionary response to therapy Journal of the American Statistical Association. 108: 1230-1242. DOI: 10.1080/01621459.2013.830449 |
0.703 |
|
| 2012 |
Piette J, Jensen ST. Estimating fielding ability in baseball players over time Journal of Quantitative Analysis in Sports. 8. DOI: 10.1515/1559-0410.1463 |
0.698 |
|
| 2011 |
Mukherjee R, Jensen ST, Male F, Bittinger K, Hodinka RL, Miller MD, Bushman FD. Switching between raltegravir resistance pathways analyzed by deep sequencing. Aids (London, England). 25: 1951-9. PMID 21832937 DOI: 10.1097/Qad.0B013E32834B34De |
0.334 |
|
| 2011 |
McShane BB, Braunstein A, Piette J, Jensen ST. A hierarchical bayesian variable selection approach to major league baseball hitting metrics Journal of Quantitative Analysis in Sports. 7. DOI: 10.2202/1559-0410.1323 |
0.715 |
|
| 2011 |
George EI, Jensen ST. A latent variable perspective of copula modeling Marketing Science. 30: 22-24. DOI: 10.1287/Mksc.1100.0579 |
0.381 |
|
| 2011 |
Jensen ST, Shore SH. Semiparametric Bayesian modeling of income volatility heterogeneity Journal of the American Statistical Association. 106: 1280-1290. DOI: 10.1198/Jasa.2011.Ap09283 |
0.326 |
|
| 2010 |
Piette J, Braunstein A, McShane BB, Jensen ST. A Point-Mass Mixture Random Effects Model for Pitching Metrics Journal of Quantitative Analysis in Sports. 6. DOI: 10.2202/1559-0410.1237 |
0.711 |
|
| 2009 |
Jensen ST, Soi S, Wang LS. A Bayesian approach to efficient differential allocation for resampling-based significance testing. Bmc Bioinformatics. 10: 198. PMID 19558706 DOI: 10.1186/1471-2105-10-198 |
0.318 |
|
| 2009 |
Megraw M, Pereira F, Jensen ST, Ohler U, Hatzigeorgiou AG. A transcription factor affinity-based code for mammalian transcription initiation. Genome Research. 19: 644-56. PMID 19141595 DOI: 10.1101/Gr.085449.108 |
0.351 |
|
| 2009 |
Jensen ST, McShane BB, Wyner AJ. Hierarchical bayesian modeling of hitting performance in baseball Bayesian Analysis. 4: 631-652. DOI: 10.1214/09-Ba424 |
0.382 |
|
| 2009 |
Jensen ST, Erkan I, Arnardottir ES, Small DS. Bayesian testing of many hypotheses × many genes: A study of sleep apnea Annals of Applied Statistics. 3: 1080-1101. DOI: 10.1214/09-Aoas241 |
0.311 |
|
| 2009 |
Jensen ST, Shirley KE, Wyner AJ. Bayesball: A Bayesian Hierarchical Model for Evaluating Fielding in Major League Baseball The Annals of Applied Statistics. 3: 491-520. DOI: 10.1214/08-Aoas228 |
0.385 |
|
| 2008 |
Braunstein A, Jensen ST, Wei Z, McAuliffe JD. A spatially varying two-sample recombinant coalescent, with applications to HIV escape response. Advances in Neural Information Processing Systems. 21: 662. PMID 20531976 |
0.718 |
|
| 2007 |
Chen G, Jensen ST, Stoeckert CJ. Clustering of genes into regulons using integrated modeling-COGRIM. Genome Biology. 8: R4. PMID 17204163 DOI: 10.1186/Gb-2007-8-1-R4 |
0.33 |
|
| 2007 |
Carruth M, Jensen ST. Evaluating Throwing Ability in Baseball Journal of Quantitative Analysis in Sports. 3: 1-20. DOI: 10.2202/1559-0410.1079 |
0.374 |
|
| 2007 |
Jensen ST, Chen G, Stoeckert, Jr. CJ. Bayesian variable selection and data integration for biological regulatory networks The Annals of Applied Statistics. 1: 612-633. DOI: 10.1214/07-Aoas130 |
0.353 |
|
| 2004 |
Jensen ST, Liu JS. BioOptimizer: a Bayesian scoring function approach to motif discovery. Bioinformatics (Oxford, England). 20: 1557-64. PMID 14962923 DOI: 10.1093/Bioinformatics/Bth127 |
0.302 |
|
| 2004 |
Jensen ST, Liu XS, Zhou Q, Liu JS. Computational discovery of gene regulatory binding motifs: A Bayesian perspective Statistical Science. 19: 188-204. DOI: 10.1214/088342304000000107 |
0.33 |
|
| 2003 |
Lenzenweger MF, Jensen ST, Rubin DB. Finding the "genuine" schizotype: a model and method for resolving heterogeneity in performance on laboratory measures in experimental psychopathology research. Journal of Abnormal Psychology. 112: 457-68. PMID 12943024 DOI: 10.1037/0021-843X.112.3.457 |
0.311 |
|
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