Year |
Citation |
Score |
2020 |
Li H, Munk A, Sieling H, Walther G. The essential histogram Biometrika. 107: 347-364. DOI: 10.1093/Biomet/Asz081 |
0.382 |
|
2018 |
Orlova DY, Meehan S, Parks D, Moore WA, Meehan C, Zhao Q, Ghosn EEB, Herzenberg LA, Walther G. QFMatch: multidimensional flow and mass cytometry samples alignment. Scientific Reports. 8: 3291. PMID 29459702 DOI: 10.1038/S41598-018-21444-4 |
0.365 |
|
2015 |
Chan HP, Walther G. Optimal detection of multi-sample aligned sparse signals Annals of Statistics. 43: 1865-1895. DOI: 10.1214/15-Aos1328 |
0.304 |
|
2013 |
Rivera C, Walther G. Optimal detection of a jump in the intensity of a Poisson process or in a density with likelihood ratio statistics Scandinavian Journal of Statistics. 40: 752-769. DOI: 10.1111/Sjos.12027 |
0.395 |
|
2012 |
Chan HP, Walther G. Detection With The Scan And The Average Likelihood Ratio Statistica Sinica. DOI: 10.5705/Ss.2011.169 |
0.35 |
|
2012 |
Ahmed MO, Walther G. Investigating the multimodality of multivariate data with principal curves Computational Statistics & Data Analysis. 56: 4462-4469. DOI: 10.1016/J.Csda.2012.02.020 |
0.333 |
|
2010 |
Walther G. Optimal and fast detection of spatial clusters with scan statistics Annals of Statistics. 38: 1010-1033. DOI: 10.1214/09-Aos732 |
0.401 |
|
2010 |
Rufibach K, Walther G. The Block Criterion for Multiscale Inference About a Density, With Applications to Other Multiscale Problems Journal of Computational and Graphical Statistics. 19: 175-190. DOI: 10.1198/Jcgs.2009.07071 |
0.387 |
|
2009 |
Walther G, Zimmerman N, Moore W, Parks D, Meehan S, Belitskaya I, Pan J, Herzenberg L. Automatic clustering of flow cytometry data with density-based merging. Advances in Bioinformatics. 686759. PMID 20069107 DOI: 10.1155/2009/686759 |
0.332 |
|
2009 |
Walther G. Inference and Modeling with Log-concave Distributions Statistical Science. 24: 319-327. DOI: 10.1214/09-Sts303 |
0.354 |
|
2007 |
Hastie T, Taylor J, Tibshirani R, Walther G. Forward stagewise regression and the monotone lasso Electronic Journal of Statistics. 1: 1-29. DOI: 10.1214/07-Ejs004 |
0.344 |
|
2007 |
Chang GT, Walther G. Clustering with mixtures of log-concave distributions Computational Statistics & Data Analysis. 51: 6242-6251. DOI: 10.1016/J.Csda.2007.01.008 |
0.542 |
|
2005 |
Tibshirani R, Walther G. Cluster Validation by Prediction Strength Journal of Computational and Graphical Statistics. 14: 511-528. DOI: 10.1198/106186005X59243 |
0.318 |
|
2005 |
Zhu M, Hastie TJ, Walther G. Constrained ordination analysis with flexible response functions Ecological Modelling. 187: 524-536. DOI: 10.1016/J.Ecolmodel.2005.01.049 |
0.314 |
|
2002 |
Walther G. Detecting the Presence of Mixing with Multiscale Maximum Likelihood Journal of the American Statistical Association. 97: 508-513. DOI: 10.1198/016214502760047032 |
0.372 |
|
2001 |
Walther G. Multiscale maximum likelihood analysis of a semiparametric model, with applications Annals of Statistics. 29: 1297-1319. DOI: 10.1214/Aos/1013203455 |
0.389 |
|
2001 |
Tibshirani R, Walther G, Hastie T. Estimating the number of clusters in a data set via the gap statistic Journal of the Royal Statistical Society: Series B (Statistical Methodology). 63: 411-423. DOI: 10.1111/1467-9868.00293 |
0.372 |
|
1999 |
Walther G. On the Solar-Cycle Modulation of the Homestake Solar Neutrino Capture Rate and the Shuffle Test The Astrophysical Journal. 513: 990-996. DOI: 10.1086/306891 |
0.329 |
|
1997 |
Walther G. Monte Carlo sampling in dual space for approximating the empirical halfspace distance Annals of Statistics. 25: 1926-1953. DOI: 10.1214/Aos/1069362379 |
0.348 |
|
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