Suchergebnisse - "expectation-conditional maximization algorithm"

An expectation conditional maximization algorithm for the skew-normal based stochastic frontier model von Zhu, Xiaonan, Wei, Zheng, Wang, Tonghui, Choy, S. T. Boris, Ma, Ziwei

“… In this paper, a feasible expectation-conditional-maximization (ECM) algorithm is developed for finding the maximum likelihood estimates of parameters of the …”
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Maximum-Likelihood Estimation of Parameters of NHPP Software Reliability Models Using Expectation Conditional Maximization Algorithm von Zeephongsekul, Panlop, Jayasinghe, Chathuri L., Fiondella, Lance, Nagaraju, Vidhyashree

“… Since its introduction in 1977, the expectation maximization (EM) algorithm has been one of the most important and widely used estimation method in estimating …”
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Estimation of the probability of informed trading models via an expectation-conditional maximization algorithm von Ghachem, Montasser, Ersan, Oguz

“… The estimation of the probability of informed trading (PIN) model and its extensions poses significant challenges owing to various computational problems. To …”
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Spectrum adapted expectation-conditional maximization algorithm for extending high-throughput peak separation method in XPS analysis von Matsumura, Tarojiro, Nagamura, Naoka, Akaho, Shotaro, Nagata, Kenji, Ando, Yasunobu

“… We introduced the spectrum-adapted expectation-conditional maximization (ECM) algorithm to improve the efficiency of the peak fitting of spectral data by …”
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Online remaining-useful-life estimation with a Bayesian-updated expectation-conditional-maximization algorithm and a modified Bayesian-model-averaging method von Yu, Yong, Si, Xiaosheng, Hu, Changhua, Zheng, Jianfei, Zhang, Jianxun

“… Online remaining-useful-life (RUL) estimation is an effective method with respect to ensuring the safety of complex-huge systems. Generally, current methods …”
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Investigating the effect of climate-related hazards on claim frequency prediction in motor insurance with incomplete data von Fung, Tsz Chai, Jeong, Himchan, Tzougas, George

“… A climate-related dataset provided by a Greek insurance company is analysed to quantify the risks that weather-related hazards, driven by climate change, pose …”
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A Faster Maximum-Likelihood Modulation Classification in Flat Fading Non-Gaussian Channels von Chen, Wenhao, Xie, Zhuochen, Ma, Lu, Liu, Jie, Liang, Xuwen

“… In this letter, we use squared iterative method with parameter checking to accelerate the convergence rate of expectation/conditional maximization (ECM) …”
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High-throughput XPS spectrum modeling with autonomous background subtraction for 3d 5/2 peak mapping of SnS von Matsumura, Tarojiro, Nagamura, Naoka, Akaho, Shotaro, Nagata, Kenji, Ando, Yasunobu

“… We propose a fitting model that automatically conducts the background subtraction during high-throughput peak fitting. The fitting model consists of the …”
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Fast Matrix-Free Methods for Model-Based Personalized Synthetic MR Imaging von Pal, Subrata, Dutta, Somak, Maitra, Ranjan

“… Synthetic Magnetic Resonance (MR) imaging predicts images at new design parameter settings from a few observed MR scans. Model-based methods, that use both the …”
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High-throughput XPS spectrum modeling with autonomous background subtraction for 3d5/2 peak mapping of SnS von Tarojiro Matsumura, Naoka Nagamura, Shotaro Akaho, Kenji Nagata, Yasunobu Ando

“… We propose a fitting model that automatically conducts the background subtraction during high-throughput peak fitting. The fitting model consists of the …”
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A practical model‐based segmentation approach for improved activation detection in single‐subject functional magnetic resonance imaging studies von Chen, Wei‐Chen, Maitra, Ranjan

“… Functional magnetic resonance imaging (fMRI) maps cerebral activation in response to stimuli but this activation is often difficult to detect, especially in …”
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Multivariate linear mixed models with censored and nonignorable missing outcomes, with application to AIDS studies von Lin, Tsung‐I, Wang, Wan‐Lun

“… The analysis of multivariate longitudinal data could encounter some complications due to censorship induced by detection limits of the assay and nonresponse …”
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Lifetime prognostics for deteriorating systems with time-varying random jumps von Zhang, Jian-Xun, Hu, Chang-Hua, He, Xiao, Si, Xiao-Sheng, Liu, Yang, Zhou, Dong-Hua

“… •A degradation model with time-varying random jumps is presented.•The approximated analytical lifetime of the proposed model is derived.•A two-step parameters …”
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Spatial modeling of individual‐level infectious disease transmission: Tuberculosis data in Manitoba, Canada von Amiri, Leila, Torabi, Mahmoud, Deardon, Rob, Pickles, Michael

“… Geographically dependent individual level models (GD‐ILMs) are a class of statistical models that can be used to study the spread of infectious disease through …”
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Threshold-free multi-attributes physical layer authentication based on expectation–conditional maximization channel estimation in Internet of Things von Jing, Tao, Huang, Hongyan, Wu, Yue, Gao, Qinghe, Huo, Yan, Sun, Jiayu

“… In this article, we utilize an expectation–conditional maximization algorithm to provide the physical layer attribute estimates required for the authentication …”
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A Novel Multi-Phase Stochastic Model for Lithium-Ion Batteries’ Degradation with Regeneration Phenomena von Zhang, Jianxun, He, Xiao, Si, Xiaosheng, Hu, Changhua, Zhou, Donghua

“… A lithium-Ion battery is a typical degradation product, and its performance will deteriorate over time. In its degradation process, regeneration phenomena have …”
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On Classical Inference of a Flexible Semi‐Parametric Class of Distributions Under a Joint Balanced Progressive Censoring Scheme von Bhattacharyya, Dhrubasish, Kundu, Debasis

“… ABSTRACT The paper deals with the estimation procedures for the proportional hazard class of distributions under a two‐sample balanced joint progressive …”
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A CLASS OF MIXTURE OF EXPERTS MODELS FOR GENERAL INSURANCE: APPLICATION TO CORRELATED CLAIM FREQUENCIES von Chai Fung, Tsz, Badescu, Andrei L., Sheldon Lin, X.

“… This paper focuses on the estimation and application aspects of the Erlang count logit-weighted reduced mixture of experts model (EC-LRMoE), which is a fully …”
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A new multivariate t distribution with variant tail weights and its application in robust regression analysis von Zhang, Chi, Tian, Guo-Liang, Yuen, Kam Chuen, Liu, Pengyi, Tang, Man-Lai

“… In this paper, we propose a new kind of multivariate t distribution by allowing different degrees of freedom for each univariate component. Compared with the …”
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Analyzing COVID-19 data in the Canadian province of Manitoba: A new approach von Amiri, Leila, Torabi, Mahmoud, Deardon, Rob

“… The basic homogeneous SEIR (susceptible–exposed–infected–removed) model is a commonly used compartmental model for analysing infectious diseases such as …”
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