Search Results - Exponentially Weighted Expectation Maximization Algorithm

On the estimation of destructive cure rate model: A new study with exponentially weighted Poisson competing risks by Pal, Suvra, Roy, Souvik

“…‐type algorithms and the expectation maximization algorithm. For this purpose, it is assumed that the initial competing risks follow an exponentially weighted Poisson distribution…”
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Likelihood inference for the destructive exponentially weighted Poisson cure rate model with Weibull lifetime and an application to melanoma data by Pal, Suvra, Balakrishnan, N.

“…In this paper, we develop the steps of the expectation maximization algorithm (EM algorithm) for the determination of the maximum likelihood estimates…”
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Destructive cure rate models under proportional odds and associated likelihood inference by Balakrishnan, N., Feng, T.

“… (including length-biased Poisson, negative binomial, and exponentially weighted Poisson [EWP]) and the lifetimes of the noncured individuals to follow a proportional odds survival model…”
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Efficient and interpretable monitoring of high-dimensional categorical processes by Wang, Kai, Li, Jian, Tsung, Fugee

“…High-Dimensional (HD) processes have become prevalent in many data-intensive scientific domains and engineering applications. The monitoring of HD categorical…”
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Optimal hierarchical EWMA forecasting by Sbrana, Giacomo, Pelagatti, Matteo

“… We first derive optimal results for predicting a system of time series following multivariate Exponentially Weighted Moving Average (EWMA) dynamics…”
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Convergence and Stability of a Class of Iteratively Re-weighted Least Squares Algorithms for Sparse Signal Recovery in the Presence of Noise by Babadi, Behtash, Ba, Demba, Purdon, Patrick L, Brown, Emery N

“…) algorithms for sparse signal recovery in the presence of noise. We demonstrate a one-to-one correspondence between this class of algorithms and a class of Expectation-Maximization (EM…”
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Destructive cure models with proportional hazards lifetimes and associated likelihood inference by Balakrishnan, N., Barui, S.

“… The expectation-maximization (EM) algorithm and profile likelihood approach are made use of to estimate the model parameters…”
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Prediction of financial time series with hidden Markov models by Zhang, Yingjian

“…: non-stationary and non-linearity. Specifically, we extend the HMM to include a novel exponentially weighted Expectation-Maximization (EM…”
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Bayesian Fault Probability Estimation: Application in Wind Turbine Drivetrain Sensor Fault Detection by Habibi, Hamed, Howard, Ian, Habibi, Reza

“…] is studied utilizing particle filtering and the expectation maximization (EM) algorithm, in which the fault probability is calculated…”
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An evaluation of a novel software tool for detecting changes in physiological monitoring by Ansermino, J Mark, Daniels, Jeremy P, Hewgill, Randy T, Lim, Joanne, Yang, Ping, Brouse, Chris J, Dumont, Guy A, Bowering, John B

“…We have developed a software tool (iAssist) to assist clinicians as they monitor the physiological data that guide their actions during anesthesia. The system…”
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Blind channel equalization based on iterative weighted least-mean squared algorithm by DONGXIN XU, WU, Hsiao-Chun

“…The expectation-maximization (EM) criterion has been widely applied for sparse observed data, such as time-varying wireless channel equalization…”
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The Effect of Methods for Handling Missing Values on the Performance of the MEWMA Control Chart by Madbuly, Doaa F., Maravelakis, Petros E., Mahmoud, Mahmoud A.

“… We discuss the complete case, mean substitution, regression, stochastic regression, and the expectation-maximization algorithm methods for handling missing values…”
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Destructive cure models with proportional hazards lifetimes and associated likelihood inference by Balakrishnan, Narayanaswamy, Barui, Sandip

“… The expectation-maximization (EM) algorithm and profile likelihood approach are made use of for estimating the model parameters…”
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Adapting Local Sequential Algorithms to the Distributed Setting by Kawarabayashi, Ken-ichi, Schwartzman, Gregory

“…It is a well known fact that sequential algorithms which exhibit a strong "local" nature can be adapted to the distributed setting given a legal graph coloring…”
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Performance optimization for multicarrier code-division multiple-access systems by Tseng, Shun-Te

“…) receivers are investigated. The effect of the window function on the error performance, a low-complexity parameter acquisition scheme, a carrier-tracking algorithm based on minimum output energy (MOE…”
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