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A Mixed Models Approach to the Age-Period-Cohort Analysis of Repeated Cross-Section Surveys, with an Application to Data on Trends in Verbal Test Scores
We develop a mixed (fixed and random effects) models approach to the age-period-cohort (AFC) analysis of micro data sets in the form of a series of the repeated cross-section sample surveys that areExpand
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Age–Period–Cohort Analysis of Repeated Cross-Section Surveys: Fixed or Random Effects?
Yang and Land (2006) and Yang (forthcoming-b) developed a mixed (fixed and random) effects model for the age–period–cohort (APC) analysis of micro data sets in the form of a series of repeatedExpand
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2. A Methodological Comparison of Age-Period-Cohort Models: The Intrinsic Estimator and Conventional Generalized Linear Models
Age-period-cohort (APC) accounting models have long been objects of attention in statistical studies of human populations. It is well known that the identification problem created by the linearExpand
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Exponential companding technique for PAPR reduction in OFDM systems
In this paper, a new nonlinear companding technique, called "exponential companding", is proposed to reduce the high Peak-to-Average Power Ratio (PAPR) of Orthogonal Frequency Division Multiplexing (OFDM) signals. Expand
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Self-configuration and self-optimization for LTE networks
We introduce both the market and technological perspectives for self-organizing networks and demonstrate a self-booting mechanism for a newly added evolved NodeB. Expand
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Social Change and Socioeconomic Disparities in Health over the Life Course in China: A Cohort Analysis.
This article examines social stratification in individual health trajectories for multiple cohorts in the context of China's dramatically changing macro-social environment. Using data from the ChinaExpand
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A Parallel Decomposition Method for Nonconvex Stochastic Multi-Agent Optimization Problems
This paper considers the problem of minimizing the expected value of a (possibly nonconvex) cost function parameterized by a random (vector) variable, when the expectation cannot be computed accurately (e.g., because the statistics of the random variables are unknown and/or the computational complexity is prohibitive). Expand
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Network energy saving technologies for green wireless access networks
We study in this article the energy efficiency (EE) of the wireless access network, which is broadly defined as any wireless system using radio base stations. Expand
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Reinforcement learning based spectrum-aware routing in multi-hop cognitive radio networks
Two adaptive reinforcement learning based spectrum-aware routing protocols are introduced for multi-hop cognitive radio networks. Expand
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A Unified Successive Pseudoconvex Approximation Framework
  • Y. Yang, M. Pesavento
  • Mathematics, Computer Science
  • IEEE Transactions on Signal Processing
  • 16 June 2015
In this paper, we propose a successive pseudoconvex approximation algorithm to efficiently compute stationary points for a large class of possibly nonconvex optimization problems. Expand
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