Search Results - "Pronzato, L."
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1
Optimal and asymptotically optimal decision rules for sequential screening and resource allocation
Published in IEEE transactions on automatic control (01-05-2001)“…We consider the problem of maximizing the expected sum of n variables X/sub k/ chosen sequentially in an i.i.d. sequence of length N. It is equivalent to the…”
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2
Estimation of Spectral Bounds in Gradient Algorithms
Published in Acta applicandae mathematicae (01-10-2013)“…We consider the solution of linear systems of equations Ax = b , with A a symmetric positive-definite matrix in ℝ n × n , through Richardson-type iterations…”
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3
Convex relaxation for IMSE optimal design in random-field models
Published in Computational statistics & data analysis (01-09-2017)“…The construction of optimal designs for random-field interpolation models via convex design theory is considered. The definition of an Integrated Mean-Squared…”
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4
On a property of the expected value of a determinant
Published in Statistics & probability letters (01-08-1998)“…Suppose that the vectors x 1, …, x N in R P are i.i.d. with some underlying distribution μ, and consider the matrix M N=( 1 N )∑ N i=1x ix T i . We show that,…”
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5
Quasi-uniform designs with optimal and near-optimal uniformity constant
Published in Journal of approximation theory (01-10-2023)“…A design is a collection of distinct points in a given set X, which is assumed to be a compact subset of Rd, and the mesh-ratio of a design is the ratio of its…”
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6
Using densities of estimators to compare pharmacokinetic experiments
Published in Computers in biology and medicine (01-05-2001)“…Different designs of experiments are compared according to the shape, concentration, etc. of the densities of the least-squares estimator (conditional…”
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Journal Article Conference Proceeding -
7
An actively adaptive control policy for linear models
Published in IEEE transactions on automatic control (01-06-1996)“…Considers the quadratic optimal control of a discrete-time linear system with unknown parameters. The control action affects both the future behavior of the…”
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8
Identifiability and distinguishability concepts in electrochemistry
Published in Automatica (Oxford) (01-07-1996)“…Although the notions of structural identifiability and distinguishability are now well accepted in some domains of mathematical modeling such as econometrics,…”
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Optimal selection of information with restricted storage capacity
Published in Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '98 (Cat. No.98CH36181) (1998)“…We consider the situation where n items have to be selected among a series of N presented sequentially, the information contained in each item being random…”
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10
Nonlinear prediction by kriging, with application to noise cancellation
Published in Signal processing (2000)“…A semi-parametric approach based on kriging is suggested for nonlinear prediction. It does not rely on any specific model structure, which makes the approach…”
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11
Model-based approach to robust design, with application to microwave power transistors
Published in IEEE transactions on circuits and systems. 1, Fundamental theory and applications (01-01-2002)“…Presents a new approach to designing products that are robust to fluctuations of the characteristics of their components. In this new method, the…”
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12
Incremental Space-Filling Design Based on Coverings and Spacings: Improving Upon Low Discrepancy Sequences
Published in Journal of statistical theory and practice (01-12-2021)“…The paper addresses the problem of defining families of ordered sequences { x i } i ∈ N of elements of a compact subset X of R d whose prefixes X n = { x i } i…”
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13
A Dirac-function method for densities of nonlinear statistics and for marginal densities in nonlinear regression
Published in Statistics & probability letters (01-02-1996)“…We consider new approximations for the marginal density of parameter estimates in nonlinear regression, and more generally for the density of any smooth scalar…”
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14
Finite Sample Behaviour of an Ergodically Fast Line-Search Algorithm
Published in Computational optimization and applications (01-07-1999)“…In order to represent a line-search algorithm as a non-convergent dynamic system, we perform a renormalisation of the uncertainty interval at each iteration…”
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15
Comments about the coincident bit counting (CBC) criterion for image registration
Published in IEEE transactions on medical imaging (1994)“…In a paper recently published (ibid., vol.12, p. 30-8, 1993), Chiang and Sullivan compare a new criterion for image registration called CBC (coincident bit…”
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16
Optimal experiment design for nonlinear models subject to large prior uncertainties
Published in The American journal of physiology (01-09-1987)“…Classical experiment design generally yields an experiment that depends on the value of the parameters to be estimated, which are, of course, unknown. Assuming…”
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Dual Control of Linearly Parameterised Models via Prediction of Posterior Densities
Published in European journal of control (1996)“…A suboptimal dual control policy is presented for linearly parameterised systems with unknown parameters, additive Gaussian noise and quadratic cost. The dual…”
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18
Modeling Transient Tracing in Plug-Flow Reactors: A Case Study
Published in Industrial & engineering chemistry research (01-02-1995)“…For heterogeneous catalysis, ordinary differential equations in time can be used to interpret transient tracer data obtained in a continuous stirred tank…”
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19
Choice of experimental method induced by structural properties of mechanisms
Published in Journal of electroanalytical chemistry (Lausanne, Switzerland) (19-12-1995)“…The interest of checking structural properties of reaction mechanisms prior to any attempt at estimating their kinetic parameters is illustrated by considering…”
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20
Nonlinear filtering by kriging, with application to system inversion
Published in 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258) (1999)“…Prediction by kriging does not rely on any specific model structure, and is thus much more flexible than approaches based on parametric behavioural models…”
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Conference Proceeding