Search Results - "Expectation conditional maximization algorithm"

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…”
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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)…”
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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…”
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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…”
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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…”
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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…”
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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…”
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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…”
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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…”
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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

“…With the number of Internet of Things devices continually increasing, the endogenous security of Internet of Things communication systems is growingly…”
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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…”
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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…”
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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…”
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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…”
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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…”
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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…”
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An empirical approach to measure unobserved cultural relations using music trade data by Takara, Yuki, Takagi, Shingo

“…Cultural relations between countries influence the exchange of cultural goods. This study provides novel knowledge of unobserved cultural relations by mea-…”
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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…”
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The parsimonious Gaussian mixture models with partitioned parameters and their application in clustering by Olyaei, Niloofar Aslani Akhore, Khazaei, Mojtaba, Najarzadeh, Dariush

“…Cluster analysis is a method that identifies similar groups of data without any prior knowledge of the relevant groups. One of the most widely used clustering…”
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Robust Clustering Using Exponential Power Mixtures by Zhang, Jian, Liang, Faming

“…Clustering is a widely used method in extracting useful information from gene expression data, where unknown correlation structures in genes are believed to…”
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