Search Results - "Expectation Conditional Maximization algorithm"

An expectation conditional maximization algorithm for the skew-normal based stochastic frontier model by 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…”
Get full text

Maximum-Likelihood Estimation of Parameters of NHPP Software Reliability Models Using Expectation Conditional Maximization Algorithm by 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…”
Get full text

Estimation of the probability of informed trading models via an expectation-conditional maximization algorithm by 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…”
Get full text

Spectrum adapted expectation-conditional maximization algorithm for extending high-throughput peak separation method in XPS analysis by 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…”
Get full text

Online remaining-useful-life estimation with a Bayesian-updated expectation-conditional-maximization algorithm and a modified Bayesian-model-averaging method by 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…”
Get full text

Investigating the effect of climate-related hazards on claim frequency prediction in motor insurance with incomplete data by 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…”
Get full text

A Faster Maximum-Likelihood Modulation Classification in Flat Fading Non-Gaussian Channels by 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)…”
Get full text

High-throughput XPS spectrum modeling with autonomous background subtraction for 3d 5/2 peak mapping of SnS by 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…”
Get full text

Fast Matrix-Free Methods for Model-Based Personalized Synthetic MR Imaging by 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…”
Get full text

High-throughput XPS spectrum modeling with autonomous background subtraction for 3d5/2 peak mapping of SnS by 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…”
Get full text

A practical model‐based segmentation approach for improved activation detection in single‐subject functional magnetic resonance imaging studies by 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…”
Get full text

Multivariate linear mixed models with censored and nonignorable missing outcomes, with application to AIDS studies by 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…”
Get full text

Lifetime prognostics for deteriorating systems with time-varying random jumps by 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…”
Get full text

Spatial modeling of individual‐level infectious disease transmission: Tuberculosis data in Manitoba, Canada by 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…”
Get full text

Threshold-free multi-attributes physical layer authentication based on expectation–conditional maximization channel estimation in Internet of Things by 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…”
Get full text

A Novel Multi-Phase Stochastic Model for Lithium-Ion Batteries’ Degradation with Regeneration Phenomena by 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…”
Get full text

On Classical Inference of a Flexible Semi‐Parametric Class of Distributions Under a Joint Balanced Progressive Censoring Scheme by 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…”
Get full text

A CLASS OF MIXTURE OF EXPERTS MODELS FOR GENERAL INSURANCE: APPLICATION TO CORRELATED CLAIM FREQUENCIES by 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…”
Get full text

A new multivariate t distribution with variant tail weights and its application in robust regression analysis by 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…”
Get full text

Analyzing COVID-19 data in the Canadian province of Manitoba: A new approach by 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…”
Get full text