Search Results - "Baghishani, Hossein"

A Flexible Generalized Poisson Likelihood for Spatial Counts Constructed by Renewal Theory, Motivated by Groundwater Quality Assessment by Nadifar, Mahsa, Baghishani, Hossein, Fallah, Afshin

“…In recent years, the availability of spatial count data has massively increased. Due to the ubiquity of over- or under-dispersion in count data, we propose a…”
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Small Area Estimation Using a Semiparametric Spatial Model with Application in Insurance by Hosseini, Seyede Elahe, Shahsavani, Davood, Rabiei, Mohammad Reza, Arashi, Mohammad, Baghishani, Hossein

“…Additional information and borrowing strength from the related sites and other sources will improve estimation in small areas. Generalized linear mixed-effects…”
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Bayesian spatial analysis of crash severity data with the INLA approach: Assessment of different identification constraints by Barmoudeh, Leila, Baghishani, Hossein, Martino, Sara

“…Multinomial logit models have been widely used in the analysis of categorical crash data. When the regional information of the data is available, the…”
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Hierarchical clustering with spatial adjacency constraints in heavy-tailed areal data by Mousavi, Seyedeh Somayeh, Mohammadpour, Adel, Baghishani, Hossein

“…Some natural phenomena with areal/lattice data structures include extreme values or outliers. In such situations, the assumption of Gaussianity for the random…”
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A flexible Bayesian nonconfounding spatial model for analysis of dispersed count data by Nadifar, Mahsa, Baghishani, Hossein, Fallah, Afshin

“…In employing spatial regression models for counts, we usually meet two issues. First, the possible inherent collinearity between covariates and the spatial…”
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Heavy or semi-heavy tail, that is the question by Ownuk, Jamil, Baghishani, Hossein, Nezakati, Ahmad

“…While there has been considerable research on the analysis of extreme values and outliers by using heavy-tailed distributions, little is known about the…”
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Time-varying coefficients models for recurrent event data when different varying coefficients admit different degrees of smoothness: application to heart disease modeling by Eshaghi, Ehsan, Baghishani, Hossein, Shahsavani, Davood

“…We consider a class of semiparametric marginal rate models for analyzing recurrent event data. In these models, both time‐varying and time‐free effects are…”
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A data cloning algorithm for computing maximum likelihood estimates in spatial generalized linear mixed models by Baghishani, Hossein, Mohammadzadeh, Mohsen

“…Non-Gaussian spatial data are common in many sciences such as environmental sciences, biology and epidemiology. Spatial generalized linear mixed models…”
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Asymptotic normality of posterior distributions for generalized linear mixed models by Baghishani, Hossein, Mohammadzadeh, Mohsen

“…Bayesian inference methods are used extensively in the analysis of Generalized Linear Mixed Models (GLMMs), but it may be difficult to handle the posterior…”
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Bayesian Spatial Survival Analysis of Duration to Cure among New Smear-Positive Pulmonary Tuberculosis (PTB) Patients in Iran, during 2011-2018 by Nazar, Eisa, Baghishani, Hossein, Doosti, Hassan, Ghavami, Vahid, Aryan, Ehsan, Nasehi, Mahshid, Sharafi, Saeid, Esmaily, Habibollah, Yazdani Charati, Jamshid

“…is the causative agent of tuberculosis (TB), and pulmonary TB is the most prevalent form of the disease worldwide. One of the most concrete actions to ensure…”
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Long-Term Disease-Free Survival of Non-Metastatic Breast Cancer Patients in Iran: A Survival Model with Competing Risks Taking Cure Fraction and Frailty into Account by Ghavami, Vahid, Mahmoudi, Mahmood, Foroushani, Abbas Rahimi, Baghishani, Hossein, Shandiz, Fatemeh Homaei, Yaseri, Mehdi

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On a hybrid data cloning method and its application in generalized linear mixed models by Baghishani, Hossein, Rue, Håvard, Mohammadzadeh, Mohsen

“…The data cloning method is a new computational tool for computing maximum likelihood estimates in complex statistical models such as mixed models. This method…”
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Developing flexible classes of distributions to account for both skewness and bimodality by Ownuk, Jamil, Nezakati, Ahmad, Baghishani, Hossein

“…We develop two novel approaches for constructing skewed and bimodal flexible distributions that can effectively generalize classical symmetric distributions…”
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A flexible Bayesian non-confounding spatial model for analysis of dispersed count data in clinical studies by Nadifar, Mahsa, Baghishani, Hossein, Fallah, Afshin

“…In employing spatial regression models for counts, we usually meet two issues. First, ignoring the inherent collinearity between covariates and the spatial…”
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Flexible Bayesian Modeling of Counts: Constructing Penalized Complexity Priors by Nadifar, Mahsa, Baghishani, Hossein, Kneib, Thomas, Fallah, Afshin

“…Many of the data, particularly in medicine and disease mapping are count. Indeed, the under or overdispersion problem in count data distrusts the performance…”
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Statistical modeling of groundwater quality assessment in Iran using a flexible Poisson likelihood by Nadifar, Mahsa, Baghishani, Hossein, Fallah, Afshin, Rue, Havard

“…Assessing water quality and recognizing its associated risks to human health and the broader environment is undoubtedly essential. Groundwater is widely used…”
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