-
2
-
-
33750443484
-
-
2nd edition. London: Chapman and Hall
-
CARROLL, R. J., RUPPERT, D., STEFANSKI, L. A. AND CRAINICEANU, C. M. (2006). Measurement Error in Nonlinear Models: A Modern Perspective, 2nd edition. London: Chapman and Hall.
-
(2006)
Measurement Error in Nonlinear Models: A Modern Perspective
-
-
Carroll, R.J.1
Ruppert, D.2
Stefanski, L.A.3
Crainiceanu, C.M.4
-
3
-
-
0002978642
-
Experiments with a new boosting algorithm
-
Saitta L. (editor) San Francisco, CA: Morgan Kaufman
-
FREUND, Y. AND SCHAPIRE, R. E. (1996). Experiments with a new boosting algorithm. In: Saitta, L. (editor), Machine Learning: Proceedings of the Thirteenth International Conference. San Francisco, CA: Morgan Kaufman, pp. 148-156.
-
(1996)
Machine Learning: Proceedings of the Thirteenth International Conference
, pp. 148-156
-
-
Freund, Y.1
Schapire, R.E.2
-
4
-
-
0031211090
-
A decision-theoretic generalization of on-line learning and an application to boosting
-
FREUND, Y. AND SCHAPIRE, R. E. (1997). A decision-theoretic generalization of on-line learning and an application to boosting. Journal of Computer and System Sciences 55, 119-139.
-
(1997)
Journal of Computer and System Sciences
, vol.55
, pp. 119-139
-
-
Freund, Y.1
Schapire, R.E.2
-
5
-
-
0035470889
-
Greedy function approximation: A gradient boosting machine
-
FRIEDMAN, J. H. (2001). Greedy function approximation: a gradient boosting machine. The Annals of Statistics 29, 1189-2232.
-
(2001)
The Annals of Statistics
, vol.29
, pp. 1189-2232
-
-
Friedman, J.H.1
-
6
-
-
0034164230
-
Additive logistic regression: A statistical view of boosting (with discussion)
-
FRIEDMAN, J. H., HASTIE, T. AND TIBSHIRANI, R. (2000). Additive logistic regression: a statistical view of boosting (with discussion). The Annals of Statistics 28, 337-407.
-
(2000)
The Annals of Statistics
, vol.28
, pp. 337-407
-
-
Friedman, J.H.1
Hastie, T.2
Tibshirani, R.3
-
7
-
-
33745466826
-
-
HOTHORN, T., BUHLMANN, P., DUDOIT, S., MOLINARO, A. M. AND VAN DER LAAN, M. J. (2006). Survival Ensembles. Biostatistics 7, 355-373.
-
(2006)
Survival Ensembles. Biostatistics
, vol.7
, pp. 355-373
-
-
Hothorn, T.1
Buhlmann, P.2
Dudoit, S.3
Molinaro, A.M.4
-
10
-
-
14944360441
-
Missing data methods for generalized linear models: A comparative review
-
IBRAHIM, J. G., CHEN, M.-H., LIPSITZ, S. R. AND HERRING, A. H. (2005). Missing data methods for generalized linear models: a comparative review. Journal of the American Statistical Association 100, 332-346.
-
(2005)
Journal of the American Statistical Association
, vol.100
, pp. 332-346
-
-
Ibrahim, J.G.1
Chen, M.-H.2
Lipsitz, S.R.3
Herring, A.H.4
-
11
-
-
28244488742
-
Antibody microarray profling reveals individual and combined serum proteins associated with pancreatic cancer
-
ORCHEKOWSKI, R., HAMELINCK, D., LI, L., GLIWA, E., VANBROCKLIN, M., MARRERO, J. A.,WOUDE, G. F. V., FENG, Z., BRAND, R. AND HAAB, B. B. (2005). Antibody microarray profling reveals individual and combined serum proteins associated with pancreatic cancer. Cancer Research 65, 11193-11202.
-
(2005)
Cancer Research
, vol.65
, pp. 11193-11202
-
-
Orchekowski, R.1
Hamelinck, D.2
Li, L.3
Gliwa, E.4
Vanbrocklin, M.5
Marrero, A.6
Woude, G.F.V.7
Feng, Z.8
Brand, R.9
Haab, B.B.10
-
12
-
-
29144504459
-
Weighted estimators for proportional hazards regression with missing covariates
-
QI, L., WANG, C. Y. AND PRENTICE, R. L. (2005). Weighted estimators for proportional hazards regression with missing covariates. Journal of the American Statistical Association 100, 1250-1263.
-
(2005)
Journal of the American Statistical Association
, vol.100
, pp. 1250-1263
-
-
Qi, L.1
Wang, C.Y.2
Prentice, R.L.3
-
13
-
-
84888862680
-
Estimation of regression coeffcients when some regres-sors are not always observed
-
ROBINS, J. M., ROTNITZKY, A. AND ZHAO, L. P. (1994). Estimation of regression coeffcients when some regres-sors are not always observed. Journal of the American Statistical Association 89, 846-866.
-
(1994)
Journal of the American Statistical Association
, vol.89
, pp. 846-866
-
-
Robins, J.M.1
Rotnitzky, A.2
Zhao, L.P.3
-
15
-
-
0025448521
-
The strength of weak learnability
-
SCHAPIRE, R. E. (1990). The strength of weak learnability. Machine Learning 5, 197-227.
-
(1990)
Machine Learning
, vol.5
, pp. 197-227
-
-
Schapire, R.E.1
-
16
-
-
0032280519
-
Boosting the margin: A new explanation for the electiveness of voting methods
-
SCHAPIRE, R. E., FREUND, Y., BARTLETT, P. AND LEE, W. S. (1998). Boosting the margin: a new explanation for the electiveness of voting methods. The Annals of Statistics 26, 1651-1686.
-
(1998)
The Annals of Statistics
, vol.26
, pp. 1651-1686
-
-
Schapire, R.E.1
Freund, Y.2
Bartlett, P.3
Lee, W.S.4
-
17
-
-
0033281701
-
Improved boosting algorithms using confdence-rated predictions
-
SCHAPIRE, R. E. AND SINGER, Y. (1999). Improved boosting algorithms using confdence-rated predictions. Machine Learning 37, 297-336.
-
(1999)
Machine Learning
, vol.37
, pp. 297-336
-
-
Schapire, R.E.1
Singer, Y.2
-
18
-
-
0030892272
-
Regression calibration in failure time regression
-
WANG, C. Y., HSU, L., FENG, Z. D. AND PRENTICE, R. L. (1997). Regression calibration in failure time regression. Biometrics 53, 131-145.
-
(1997)
Biometrics
, vol.53
, pp. 131-145
-
-
Wang, C.Y.1
Hsu, L.2
Feng, Z.D.3
Prentice, R.L.4
-
19
-
-
34147156718
-
Numerical equivalence of imputing scores and weighted estimators in regression analysis with missing covariates
-
WANG, C. Y., LEE, S. M. AND CHAO, E. C. (2007). Numerical equivalence of imputing scores and weighted estimators in regression analysis with missing covariates. Biostatistics 8, 468-473.
-
(2007)
Biostatistics
, vol.8
, pp. 468-473
-
-
Wang, C.Y.1
Lee, S.M.2
Chao, E.C.3
-
20
-
-
1642306201
-
Partially supervised learning using an EM-boosting algorithm
-
YASUI, Y., PEPE, M. S., HSU, L., ADAM, B. AND FENG, Z. (2004). Partially supervised learning using an EM-boosting algorithm. Biometrics 60, 199-206.
-
(2004)
Biometrics
, vol.60
, pp. 199-206
-
-
Yasui, Y.1
Pepe, M.S.2
Hsu, L.3
Adam, B.4
Feng, Z.5
-
21
-
-
0142008803
-
A data-analytic strategy for protein biomarker discovery: Profling of high-dimensional proteomic data for cancer detection
-
YASUI, Y., PEPE, M., THOMPSON, M. L., ADAM, B, WRIGHT, G. L., QU, Y, POTTER, J. D., WINGET, M., THORNQUIST, M. AND FENG, Z. (2003). A data-analytic strategy for protein biomarker discovery: profling of high-dimensional proteomic data for cancer detection. Biostatistics 4, 449-463.
-
(2003)
Biostatistics
, vol.4
, pp. 449-463
-
-
Yasui, Y.1
Pepe, M.2
Thompson, M.L.3
Adam, B.4
Wright, G.L.5
Qu, Y.6
Potter, J.D.7
Winget, M.8
Thornquist, M.9
Feng, Z.10
|