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Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：Bayesian sequential design for sensitivity experiments with hybrid responses
混合响应 灵敏度实验 贝叶斯顺序设计
2023/4/25
In experimental design, a common problem seen in practice is when the result includes one binary response and multiple continuous responses. However, this problem receives scant attention. Most studie...
Complementary Design Theory for Uniform Designs
Complementary design discrepancy uniformity
2016/1/25
Uniform design is to seek its design points to be uniformly scattered on the experimental domain under some discrepancy measure. In this paper all the design points of a full factorial design can be s...
Dynamic Financial Constraints: Distinguishing Mechanism Design
financial constraints mechanism design structural estimation and testing
2014/9/9
We formulate and solve a range of dynamic models of constrained credit/insurance that allow for moral
hazard and limited commitment. We compare them to full insurance and exogenously incomplete finan...
Estimation in high-dimensional linear models with deterministic design matrices
Identifiability projection ridge regression sparsity thresholding variable selection
2012/6/21
Because of the advance in technologies, modern statistical studies often encounter linear models with the number of explanatory variables much larger than the sample size. Estimation and variable sele...
An adaptive sequential optimum design for model selection and parameter estimation in non-linear nested models
D-optimality KL-optimality DKL-optimality log-likelihood ratio test stochastic convergence sequential optimum design
2011/10/9
Abstract: This work propose a sequential procedure which is useful to select the best model among several nested non-linear models and to estimate efficiently the parameters of the chosen model. At ea...
Performance Bounds and Design Criteria for Estimating Finite Rate of Innovation Signals
Terms—Finite rate of innovation Sampling
2010/12/3
In this paper, we consider the problem of estimating finite rate of innovation (FRI) signals from noisy measurements,and specifically analyze the interaction between FRI techniques
and the underlying...
Input Design for System Identification via Convex Relaxation
Input Design System Identification Convex Relaxation
2010/12/14
This paper proposes a new framework for the optimization of excitation inputs for system identification. The optimization problem considered is to maximize a reduced Fisher information matrix in any o...