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Factorized embedding of goal and uncertainty in the lateral prefrontal cortex guides stably flexible learning. [PDF]
Nat CommunSung Y, Rigotti M, Lee SW.
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Chemometrics and Intelligent Laboratory Systems, 1995
Abstract Many classical symmetrical designs have desirable characteristics, one of which is called D-optimality. The D-optimality concept can also be applied to select a design when the classical symmetrical designs cannot be used, such as when the experimental region is not regular in shape, when the number of experiments chosen by a classical ...
P.F. de Aguiar +4 more
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Abstract Many classical symmetrical designs have desirable characteristics, one of which is called D-optimality. The D-optimality concept can also be applied to select a design when the classical symmetrical designs cannot be used, such as when the experimental region is not regular in shape, when the number of experiments chosen by a classical ...
P.F. de Aguiar +4 more
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Quantitative Structure-Activity Relationships, 1993
AbstractStatistical design in principal properties based on D‐optimality criteria are particularly appropriate for selecting the most informative molecules to be synthesized and tested in the framework of QSAR studies. Selection by D‐optimal designs are better than those based on fractional factorial designs since they allow one to reduce the number of
BARONI, Massimo +4 more
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AbstractStatistical design in principal properties based on D‐optimality criteria are particularly appropriate for selecting the most informative molecules to be synthesized and tested in the framework of QSAR studies. Selection by D‐optimal designs are better than those based on fractional factorial designs since they allow one to reduce the number of
BARONI, Massimo +4 more
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D-optimal fractional factorial designs
Statistics & Probability Letters, 1998zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Chiu, Wan-Yi, John, Peter W. M.
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D-Optimal Designs with Interaction Coverage
Journal of Statistical Theory and Practice, 2009zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Hoskins, Dean S. +2 more
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D‐optimal minimax fractional factorial designs
Canadian Journal of Statistics, 2013AbstractThe D‐optimal minimax criterion is proposed to construct fractional factorial designs. The resulting designs are very efficient, and robust against misspecification of the effects in the linear model. The criterion was first proposed by Wilmut & Zhou (2011); their work is limited to two‐level factorial designs, however.
Lin, Dennis K. J., Zhou, Julie
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Marginally restricted sequential D‐optimal designs
Canadian Journal of Statistics, 2008AbstractIn many experiments, not all explanatory variables can be controlled. When the units arise sequentially, different approaches may be used. The authors study a natural sequential procedure for “marginally restricted” D‐optimal designs. They assume that one set of explanatory variables (x1) is observed sequentially, and that the experimenter ...
López-Fidalgo, Jesús +2 more
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Bayesian D-optimal supersaturated designs
Journal of Statistical Planning and Inference, 2008zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Jones, Bradley +2 more
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D-optimal designs for weighted polynomial regression
Journal of Statistical Planning and Inference, 1997zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Chang, Fu-Chuen, Lin, Ge-Chen
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D-optimal designs for correlated random vectors
Journal of Statistical Planning and Inference, 2008zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Masaro, Joe, Wong, Chi Song
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