Results 41 to 50 of about 357 (85)
Discrimination between Gaussian process models: active learning and static constructions. [PDF]
Stat Pap (Berl), 2023 Yousefi E +4 more
europepmc +1 more source
, 2012 The present paper deals with the problem of allocating patients to two competing treatments in the presence of covariates or prognostic factors in order to achieve a good trade-off among ethical concerns, inferential precision and randomness in the ...
Antognini, Alessandro Baldi +1 more
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Maximum expected entropy transformed Latin hypercube designs. [PDF]
J Appl Stat, 2021 Sheng C, Tan MHY, Zou L.
europepmc +1 more source
Maximin and Bayesian optimal designs for regression models [PDF]
For many problems of statistical inference in regression modelling, the Fisher information matrix depends on certain nuisance parameters which are unknown and which enter the model nonlinearly.
Dette, Holger +2 more
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On construction of optimal mixed-level supersaturated designs
, 2011 Supersaturated design (SSD) has received much recent interest because of its potential in factor screening experiments. In this paper, we provide equivalent conditions for two columns to be fully aliased and consequently propose methods for constructing $
Lin, Dennis K. J. +2 more
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COVID-19: Optimal Design of Serosurveys for Disease Burden Estimation. [PDF]
Sankhya B (2008), 2022 Athreya S +8 more
europepmc +1 more source
Optimal experimental designs for fMRI via circulant biased weighing designs
, 2015 Functional magnetic resonance imaging (fMRI) technology is popularly used in many fields for studying how the brain reacts to mental stimuli. The identification of optimal fMRI experimental designs is crucial for rendering precise statistical inference ...
Cheng, Ching-Shui, Kao, Ming-Hung
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Efficient design of experiment for exponential regression models [PDF]
In this paper robust and efficient designs are derived for several exponential decay models. These models are widely used in chemistry, pharmacokinetics or microbiology.
Dette, Holger +3 more
core
A functional-algebraic determination of D-optimal designs for trigonometric regression models on a partial circle [PDF]
, 2001 We investigate the D-optimal design problem in the common trigonometric regression model, where the design space is a partial circle. The task of maximizing the criterion function is transformed into the problem of determining an eigenvalue of a certain ...
Biedermann, Stefanie +2 more
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An note on the maximization of matrix valued Hankel determinants with application [PDF]
In this note we consider the problem of maximizing the determinant of moment matrices of matrix measures. The maximizing matrix measure can be characterized explicitly by having equal (matrix valued) weights at the zeros of classical (one dimensional ...
Dette, Holger, Studden, W. J.
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