Results 41 to 50 of about 4,474,845 (304)
Asymptotic Optimality of One-Group Shrinkage Priors in Sparse High-dimensional Problems
, 2017 . We study asymptotic optimality of inference in a high-dimensional sparse normal means model using a broad class of one-group shrinkage priors. Assuming that the proportion of non-zero means is known, we show that the corresponding Bayes estimates ...
P. Ghosh, A. Chakrabarti
semanticscholar +1 more source
Combining Multiple Strategies for Multiarmed Bandit Problems and Asymptotic Optimality
Journal of Control Science and Engineering, 2015 This brief paper provides a simple algorithm that selects a strategy at each time in a given set of multiple strategies for stochastic multiarmed bandit problems, thereby playing the arm by the chosen strategy at each time. The algorithm follows the idea
Hyeong Soo Chang, Sanghee Choe
doaj +1 more source
Mathematics, 2023 In this paper, we propose a model averaging estimation for the varying-coefficient partially linear models with missing responses. Within this context, we construct a HRCp weight choice criterion that exhibits asymptotic optimality under certain ...
Jie Zeng, Weihu Cheng, Guozhi Hu
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Non-linear and signal energy optimal asymptotic filter design [PDF]
Journal of Systemics, Cybernetics and Informatics, 2003 The paper studies some connections between the main results of the well known Wiener-Kalman-Bucy stochastic approach to filtering problems based mainly on the linear stochastic estimation theory and emphasizing the optimality aspects of the achieved ...
Josef Hrusak, Vaclav Cerny
doaj
Asymptotic analysis of optimal vaccination policies
Bulletin of Mathematical Biology, 2022 AbstractTargeted vaccination policies can have a significant impact on the number of infections and deaths in an epidemic. However, optimising such policies is complicated and the resultant solution may be difficult to explain to policy-makers and to the public.
Matthew J. Penn, Christl A. Donnelly
openaire +6 more sources
Asymptotic optimality and efficient computation of the leave-subject-out cross-validation [PDF]
, 2012 Although the leave-subject-out cross-validation (CV) has been widely used in practice for tuning parameter selection for various nonparametric and semiparametric models of longitudinal data, its theoretical property is unknown and solving the associated ...
Ganggang Xu, Jianhua Z. Huang
semanticscholar +1 more source
Scheduling in a Random Environment: Stability and Asymptotic Optimality [PDF]
IEEE/ACM Transactions on Networking, 2011 We investigate the scheduling of a common resource between several concurrent users when the feasible transmission rate of each user varies randomly over time. Time is slotted, and users arrive and depart upon service completion.
U. Ayesta +3 more
semanticscholar +1 more source
Model averaging based on weighted generalized method of moments with missing responses
AIMS Mathematics, 2023 Model averaging based on the least squares estimator or the maximum likelihood estimator has been widely followed, while model averaging based on the generalized method of moments is almost rarely addressed. This paper is concerned with a model averaging
Zhongqi Liang, Yanqiu Zhou
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Tight Bounds for Asymptotic and Approximate Consensus [PDF]
, 2018 We study the performance of asymptotic and approximate consensus algorithms under harsh environmental conditions. The asymptotic consensus problem requires a set of agents to repeatedly set their outputs such that the outputs converge to a common value ...
Bliman Pierre-Alexandre +4 more
core +3 more sources
An Asymptotically-Optimal Sampling-Based Algorithm for Bi-directional Motion Planning
, 2015 Bi-directional search is a widely used strategy to increase the success and convergence rates of sampling-based motion planning algorithms. Yet, few results are available that merge both bi-directional search and asymptotic optimality into existing ...
Gomez, Javier V. +5 more
core +1 more source