Year |
Citation |
Score |
2014 |
Ellison AM, Gotelli NJ, Hsiang N, Lavine M, Maidman AB. Kernel Intensity Estimation of 2-Dimensional Spatial Poisson Point Processes From k-Tree Sampling Journal of Agricultural, Biological, and Environmental Statistics. 19: 357-372. DOI: 10.1007/S13253-014-0175-0 |
0.328 |
|
2009 |
Leman SC, Chen Y, Lavine M. The multiset sampler Journal of the American Statistical Association. 104: 1029-1041. DOI: 10.1198/Jasa.2009.Tm08047 |
0.641 |
|
2007 |
Leman SC, Uyenoyama MK, Lavine M, Chen Y. The evolutionary forest algorithm. Bioinformatics (Oxford, England). 23: 1962-8. PMID 17519247 DOI: 10.1093/Bioinformatics/Btm264 |
0.651 |
|
2007 |
Rappold AG, Lavine M, Lozier S. Rejoinder Journal of the American Statistical Association. 102: 785-787. DOI: 10.1198/016214507000000824 |
0.493 |
|
2007 |
Rappold AG, Lavine M, Lozier S. Subjective likelihood for the assessment of trends in the ocean's mixed-layer depth Journal of the American Statistical Association. 102: 771-780. DOI: 10.1198/016214507000000761 |
0.593 |
|
2005 |
De Iorio M, Lavine M. Intrinsic autoregressions at multiple resolutions Journal of Statistical Planning and Inference. 134: 102-115. DOI: 10.1016/J.Jspi.2004.02.012 |
0.576 |
|
2003 |
Calder C, Lavine M, Müller P, Clark JS. Incorporating multiple sources of stochasticity into dynamic population models Ecology. 84: 1395-1402. DOI: 10.1890/0012-9658(2003)084[1395:Imsosi]2.0.Co;2 |
0.589 |
|
2000 |
Qian SS, Lavine M, Stow CA. Univariate Bayesian nonparametric binary regression with application in environmental management Environmental and Ecological Statistics. 7: 77-91. DOI: 10.1023/A:1009610913454 |
0.31 |
|
1995 |
Lavine M. On an approximate likelihood for quantiles Biometrika. 82: 220-222. DOI: 10.1093/Biomet/82.1.220 |
0.316 |
|
1994 |
Lavine M. An approach to evaluating sensitivity in Bayesian regression analyses Journal of Statistical Planning and Inference. 40: 233-244. DOI: 10.1016/0378-3758(94)90123-6 |
0.307 |
|
1993 |
Wasserman L, Lavine M, Wolpert RL. Linearization of Bayesian robustness problems Journal of Statistical Planning and Inference. 37: 307-316. DOI: 10.1016/0378-3758(93)90109-J |
0.307 |
|
1993 |
Cook RD, Wetzel N, Bermúdez JD, De La Horra J, Critchley F, Lavine M, Li KC, McCulloch RE, Morton SC, Shen X, Weisberg S, Zacks S. Exploring regression structure with graphics Test. 2: 33-100. DOI: 10.1007/Bf02562669 |
0.321 |
|
1992 |
Lavine M, West M. A Bayesian method for classification and discrimination Canadian Journal of Statistics-Revue Canadienne De Statistique. 20: 451-461. DOI: 10.2307/3315614 |
0.358 |
|
1992 |
Lavine M. Local predictive influence in bayesian linear models with conjugate priors Communications in Statistics - Simulation and Computation. 21: 269-283. DOI: 10.1080/03610919208813018 |
0.341 |
|
1991 |
Lavine M, Wasserman L, Wolpert RL. Bayesian inference with specified prior marginals Journal of the American Statistical Association. 86: 964-971. DOI: 10.1080/01621459.1991.10475139 |
0.345 |
|
1991 |
Lavine M. Problems in extrapolation illustrated with space shuttle O-ring data Journal of the American Statistical Association. 86: 919-921. DOI: 10.1080/01621459.1991.10475132 |
0.306 |
|
1991 |
Lavine M. An approach to robust Bayesian analysis for multidimensional parameter spaces Journal of the American Statistical Association. 86: 400-403. DOI: 10.1080/01621459.1991.10475056 |
0.302 |
|
1991 |
Lavine M. Sensitivity in Bayesian statistics: The prior and the likelihood Journal of the American Statistical Association. 86: 396-399. DOI: 10.1080/01621459.1991.10475055 |
0.354 |
|
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