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Volumn 9, Issue 1, 2015, Pages 383-401

A bayesian regression tree approach to identify the effect of nanoparticles’ properties on toxicity profiles

Author keywords

Bayesian CART; Nanotoxicology; P splines; Regression trees

Indexed keywords


EID: 84929672775     PISSN: 19326157     EISSN: 19417330     Source Type: Journal    
DOI: 10.1214/14-AOAS797     Document Type: Article
Times cited : (21)

References (27)
  • 1
    • 33845221523 scopus 로고
    • On conditional and intrinsic autoregressions
    • MR1380811
    • BESAG, J. and KOOPERBERG, C. (1995). On conditional and intrinsic autoregressions. Biometrika 82 733–746. MR1380811.
    • (1995) Biometrika , vol.82 , pp. 733-746
    • Besag, J.1    Kooperberg, C.2
  • 5
    • 84870288271 scopus 로고    scopus 로고
    • BART: Bayesian additive regression trees
    • MR2758172
    • CHIPMAN, H. A., GEORGE, E. I. and MCCULLOCH, R. E. (2010a). BART: Bayesian additive regression trees. Ann. Appl. Stat. 4 266–298. MR2758172.
    • (2010) Ann. Appl. Stat , vol.4 , pp. 266-298
    • Chipman, H.A.1    George, E.I.2    McCulloch, R.E.3
  • 7
    • 0011153447 scopus 로고    scopus 로고
    • Multivariate regression trees: A new technique for modeling speciesenvironment relationships
    • De’Ath, G. (2002). Multivariate regression trees: A new technique for modeling speciesenvironment relationships. Ecology 83 1105–1117.
    • (2002) Ecology , vol.83 , pp. 1105-1117
    • De’Ath, G.1
  • 8
    • 25444532788 scopus 로고    scopus 로고
    • Flexible smoothing with B-splines and penalties
    • MR1435485
    • EILERS, P. H. C. and MARX, B. D. (1996). Flexible smoothing with B-splines and penalties. Statist. Sci. 11 89–121. MR1435485.
    • (1996) Statist. Sci , vol.11 , pp. 89-121
    • Eilers, P.1    Marx, B.D.2
  • 9
    • 0035470889 scopus 로고    scopus 로고
    • Greedy function approximation: A gradient boosting machine
    • MR1873328
    • FRIEDMAN, J. H. (2001). Greedy function approximation: A gradient boosting machine. Ann. Statist. 29 1189–1232. MR1873328.
    • (2001) Ann. Statist , vol.29 , pp. 1189-1232
    • Friedman, J.H.1
  • 10
    • 84868303630 scopus 로고    scopus 로고
    • Regression trees for longitudinal data with timedependent covariates
    • Springer, Berlin, MR2010476
    • GALIMBERTI, G. and MONTANARI, A. (2002). Regression trees for longitudinal data with timedependent covariates. In Classification, Clustering, and Data Analysis 391–398. Springer, Berlin. MR2010476.
    • (2002) Classification, Clustering, and Data Analysis , pp. 391-398
    • Galimberti, G.1    Montanari, A.2
  • 11
    • 54949111733 scopus 로고    scopus 로고
    • Bayesian treed Gaussian process models with an application to computer modeling
    • MR2528830
    • GRAMACY, R. B. and LEE, H. K. H. (2008). Bayesian treed Gaussian process models with an application to computer modeling. J. Amer. Statist. Assoc. 103 1119–1130. MR2528830.
    • (2008) J. Amer. Statist. Assoc , vol.103 , pp. 1119-1130
    • Gramacy, R.B.1    Lee, H.2
  • 12
    • 77953149906 scopus 로고    scopus 로고
    • Categorical inputs, sensitivity analysis, optimization and importance tempering with tgp version 2, an R package for treed Gaussian process models
    • GRAMACY, R. B. and TADDY, M. A. (2010). Categorical inputs, sensitivity analysis, optimization and importance tempering with tgp version 2, an R package for treed Gaussian process models. Journal of Statistical Software 33 1–48.
    • (2010) Journal of Statistical Software , vol.33 , pp. 1-48
    • Gramacy, R.B.1    Taddy, M.A.2
  • 13
    • 84876056744 scopus 로고    scopus 로고
    • Variable selection and sensitivity analysis using dynamic trees, with an application to computer code performance tuning
    • MR3086410
    • GRAMACY, R. B., TADDY, M. and WILD, S. M. (2013). Variable selection and sensitivity analysis using dynamic trees, with an application to computer code performance tuning. Ann. Appl. Stat. 7 51–80. MR3086410.
    • (2013) Ann. Appl. Stat , vol.7 , pp. 51-80
    • Gramacy, R.B.1    Taddy, M.2    Wild, S.M.3
  • 14
    • 84900854144 scopus 로고    scopus 로고
    • Bayesian treed multivariate Gaussian process with adaptive design: Application to a carbon capture unit
    • MR3207843
    • KONOMI, B., KARAGIANNIS, G., SARKAR, A., SUN, X. and LIN, G. (2014). Bayesian treed multivariate Gaussian process with adaptive design: Application to a carbon capture unit. Technometrics 56 145–158. MR3207843.
    • (2014) Technometrics , vol.56 , pp. 145-158
    • Konomi, B.1    Karagiannis, G.2    Sarkar, A.3    Sun, X.4    Lin, G.5
  • 16
    • 79954561104 scopus 로고    scopus 로고
    • Classification NanoSAR development for cytotoxicity of metal oxide nanoparticles
    • LIU, R., RALLO, R., GEORGE, S., JI, Z., NAIR, S., NEL, A. E. and COHEN, Y. (2011). Classification NanoSAR development for cytotoxicity of metal oxide nanoparticles. Small 7 1118–1126.
    • (2011) Small , vol.7 , pp. 1118-1126
    • Liu, R.1    Rallo, R.2    George, S.3    Ji, Z.4    Nair, S.5    Nel, A.E.6    Cohen, Y.7
  • 18
    • 84893693597 scopus 로고    scopus 로고
    • Relating nano-particle properties to biological outcomes in exposure escalation experiments
    • MR3233744
    • PATEL, T., TELESCA, D., Low-Kam, C., JI, Z. X., ZHANG, H. Y., XIA, T., ZINC, J. I. and NEL, A. E. (2014). Relating nano-particle properties to biological outcomes in exposure escalation experiments. Environmetrics 25 57–68. MR3233744.
    • (2014) Environmetrics , vol.25 , pp. 57-68
    • Patel, T.1    Telesca, D.2    Low-Kam, C.3    Ji, Z.X.4    Zhang, H.Y.5    Xia, T.6    Zinc, J.I.7    Nel, A.E.8
  • 19
    • 84972507631 scopus 로고    scopus 로고
    • Monotone regression splines in action
    • RAMSAY, J. O. (1998). Monotone regression splines in action. Statist. Sci. 3 425–441.
    • (1998) Statist. Sci , vol.3 , pp. 425-441
    • Ramsay, J.O.1
  • 21
    • 0000644048 scopus 로고
    • Tree-structured methods for longitudinal data
    • SEGAL, M. R. (1992). Tree-structured methods for longitudinal data. J. Amer. Statist. Assoc. 87 407–418.
    • (1992) J. Amer. Statist. Assoc , vol.87 , pp. 407-418
    • Segal, M.R.1
  • 22
    • 84868300223 scopus 로고    scopus 로고
    • RE–EM trees: A data mining approach for longitudinal and clustered data
    • MR2892116
    • SELA, R. J. and SIMONOFF, J. S. (2012). RE–EM trees: A data mining approach for longitudinal and clustered data. Mach. Learn. 86 169–207. MR2892116.
    • (2012) Mach. Learn , vol.86 , pp. 169-207
    • Sela, R.J.1    Simonoff, J.S.2
  • 23
    • 34147212595 scopus 로고    scopus 로고
    • Bayesian CART: Prior specification and posterior simulation
    • MR2345747
    • WU, Y., TJELMELAND, H. and WEST, M. (2007). Bayesian CART: Prior specification and posterior simulation. J. Comput. Graph. Statist. 16 44–66. MR2345747.
    • (2007) J. Comput. Graph. Statist , vol.16 , pp. 44-66
    • Wu, Y.1    Tjelmeland, H.2    West, M.3
  • 24
    • 0033271632 scopus 로고    scopus 로고
    • Fitting trees to functional data, with an application to time-of-day patterns
    • YU, Y. and LAMBERT, D. (1999). Fitting trees to functional data, with an application to time-of-day patterns. J. Comput. Graph. Statist. 8 749–762.
    • (1999) J. Comput. Graph. Statist , vol.8 , pp. 749-762
    • Yu, Y.1    Lambert, D.2
  • 25
    • 77949768679 scopus 로고    scopus 로고
    • A partially linear tree-based regression model for multivariate outcomes
    • MR2756694
    • YU, K., WHEELER, W., LI, Q., BERGEN, A.W., CAPORASO, N., CHATTERJEE, N. and CHEN, J. (2010). A partially linear tree-based regression model for multivariate outcomes. Biometrics 66 89–96. MR2756694.
    • (2010) Biometrics , vol.66 , pp. 89-96
    • Yu, K.1    Wheeler, W.2    Li, Q.3    Bergen, A.W.4    Caporaso, N.5    Chatterjee, N.6    Chen, J.7
  • 26
    • 77949906680 scopus 로고    scopus 로고
    • A spatially-adjusted Bayesian additive regression tree model to merge two datasets
    • MR2342177
    • ZHANG, S., SHIH, Y.-C. T. and MÜLLER, P. (2007). A spatially-adjusted Bayesian additive regression tree model to merge two datasets. Bayesian Anal. 2 611–633. MR2342177.
    • (2007) Bayesian Anal , vol.2 , pp. 611-633
    • Zhang, S.1    Shih, Y.-C.T.2    Müller, P.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.