A Metaheuristic Adaptive Cubature Based Algorithm to Find Bayesian Optimal Designs for Nonlinear Models
暂无分享,去创建一个
Heinz Holling | Weng Kee Wong | Ehsan Masoudi | Belmiro P.M. Duarte | W. Wong | H. Holling | B. Duarte | Ehsan Masoudi
[1] Xin-She Yang,et al. Metaheuristic Optimization: Algorithm Analysis and Open Problems , 2011, SEA.
[2] A. Genz,et al. Computation of Multivariate Normal and t Probabilities , 2009 .
[3] Tim B. Swartz,et al. Approximating Integrals Via Monte Carlo and Deterministic Methods , 2000 .
[4] Xin-She Yang,et al. Engineering Optimization: An Introduction with Metaheuristic Applications , 2010 .
[5] Kay Chen Tan,et al. Finding High-Dimensional D-Optimal Designs for Logistic Models via Differential Evolution , 2019, IEEE Access.
[6] David Kendrick,et al. GAMS, a user's guide , 1988, SGNM.
[7] J. Kiefer,et al. Optimum Designs in Regression Problems , 1959 .
[8] John Hinde,et al. On Bayesian D‐optimum Design Criteria and the Equivalence Theorem in Non‐linear Models , 1997 .
[9] David M. Steinberg,et al. Fast Computation of Designs Robust to Parameter Uncertainty for Nonlinear Settings , 2009, Technometrics.
[10] Weichung Wang,et al. Using animal instincts to design efficient biomedical studies via particle swarm optimization , 2014, Swarm Evol. Comput..
[11] C. Dunnett,et al. A BIVARIATE GENERALIZATION OF STUDENT'S t-DISTRIBUTION, WITH TABLES FOR CERTAIN SPECIAL CASES , 1954 .
[12] Arnold Neumaier,et al. Introduction to Numerical Analysis , 2001 .
[13] A. Atkinson. The Usefulness of Optimum Experimental Designs , 1996 .
[14] Paul Van Dooren,et al. An adaptive algorithm for numerical integration over the n-cube , 1976 .
[15] W. G. Hunter,et al. The Experimental Study of Physical Mechanisms , 1965 .
[16] I. Olkin,et al. Collected Papers III , 1985 .
[17] Jack Kiefer,et al. Collected Papers III: Design of Experiments , 1984 .
[18] Adaptive optimal designs for dose-finding studies based on sigmoid Emax models , 2014 .
[19] Hung-Yi Lu,et al. Application of Optimal Designs to Item Calibration , 2014, PloS one.
[20] Weichung Wang,et al. Minimax optimal designs via particle swarm optimization methods , 2015, Stat. Comput..
[21] G. H. Fischer,et al. Remarks on “equivalent linear logistic test models” by Bechger, Verstralen, and Verhelst (2002) , 2004 .
[22] F. Hsuan,et al. Adaptive Designs for Dose-Finding Studies Based on Sigmoid E max Model , 2007, Journal of biopharmaceutical statistics.
[23] R Core Team,et al. R: A language and environment for statistical computing. , 2014 .
[24] R. Schwabe,et al. On optimal designs for censored data , 2015 .
[25] W. Wong,et al. Minimax d-optimal designs for item response theory models , 2000 .
[26] H. Chernoff. Locally Optimal Designs for Estimating Parameters , 1953 .
[27] K. Chaloner,et al. Bayesian Experimental Design: A Review , 1995 .
[28] Marco A. López,et al. Semi-infinite programming , 2007, Eur. J. Oper. Res..
[29] John C. Plummer,et al. A Multistart Scatter Search Heuristic for Smooth NLP and MINLP Problems , 2005 .
[30] Weng Kee Wong,et al. A semi-infinite programming based algorithm for finding minimax optimal designs for nonlinear models , 2014, Stat. Comput..
[31] Valéria Lima Passos,et al. Maximin Calibration Designs for the Nominal Response Model: an Empirical Evaluation , 2004 .
[32] A. Azzalini,et al. Statistical applications of the multivariate skew normal distribution , 2009, 0911.2093.
[33] Terje O. Espelid,et al. Algorithm 698: DCUHRE: an adaptive multidemensional integration routine for a vector of integrals , 1991, TOMS.
[34] Terje O. Espelid,et al. An adaptive algorithm for the approximate calculation of multiple integrals , 1991, TOMS.
[35] K. Chaloner,et al. Optimal Bayesian design applied to logistic regression experiments , 1989 .
[36] F. Pukelsheim,et al. Efficient rounding of approximate designs , 1992 .
[37] Abhyuday Mandal,et al. d-QPSO: A Quantum-Behaved Particle Swarm Technique for Finding D-Optimal Designs With Discrete and Continuous Factors and a Binary Response , 2018, Technometrics.
[38] Heinz Holling,et al. Application of imperialist competitive algorithm to find minimax and standardized maximin optimal designs , 2017, Comput. Stat. Data Anal..
[39] James McGree,et al. Probability-based optimal design , 2008 .
[40] R. Sitter. Robust designs for binary data , 1992 .
[41] J. Macdougall. Analysis of Dose–Response Studies—E max Model , 2006 .
[42] Heinz Holling,et al. An Introduction to Optimal Design Some Basic Issues Using Examples From Dyscalculia Research , 2013 .
[43] Alan Genz,et al. An adaptive algorithm for numerical integration over an n-dimensional rectangular region , 1980 .
[44] Weng Kee Wong,et al. Model-based optimal design of experiments - semidefinite and nonlinear programming formulations. , 2016, Chemometrics and intelligent laboratory systems : an international journal sponsored by the Chemometrics Society.
[45] Anthony C. Atkinson,et al. DT-optimum designs for model discrimination and parameter estimation , 2008 .
[46] Weng Kee Wong,et al. An Introduction to Optimal Designs for Social and Biomedical Research , 2009 .
[47] J. Rost. The Growing Family of Rasch Models , 2001 .
[48] Caro Lucas,et al. Imperialist competitive algorithm: An algorithm for optimization inspired by imperialistic competition , 2007, 2007 IEEE Congress on Evolutionary Computation.
[49] P. Goos,et al. Quadrature Methods for Bayesian Optimal Design of Experiments With Nonnormal Prior Distributions , 2018 .
[50] Corwin L. Atwood,et al. Optimal and Efficient Designs of Experiments , 1969 .
[51] W. Wong,et al. Standardized maximim D-optimal designs for enzyme kinetic inhibition models. , 2017, Chemometrics and intelligent laboratory systems : an international journal sponsored by the Chemometrics Society.
[52] H. Holling,et al. Task difficulty prediction of figural analogies , 2016 .
[53] Maria Konstantinou,et al. Optimal designs for two-parameter nonlinear models with application to survival models , 2014 .