Articles

type: Journal
Title DOI Date
Population food intake clusters and cardiovascular disease incidence: a Bayesian quantifying of a prospective population-based cohort study in a low and middle-income country 10.3389/fnut.2023.1150481
Dry sliding wear characteristics of NiP/TiN duplex coated aluminum alloy and wear analysis using RSM #
A novel approach for evaluation of load bearing capacity of duplex coatings on aluminum alloy using PLS and SVR models. #
Regularization in Dynamic Random Intercepts Models for Analysis of Longitudinal Data 10.1111/sjos.12592
Spike Sorting of Non-Stationary Data in Successive Intervals Based on Dirichlet Process Mixtures #
Detection of alteration zones using the Dirichlet process Stick-Breaking model-based clustering algorithm to hyperion data: the case study of Kuh-Panj porphyry copper deposits, Southern Iran 10.1080/10106049.2022.2025917
Application of Dirichlet Process and Support Vector Machine Techniques for Mapping Alteration Zones Associated with Porphyry Copper Deposit Using ASTER Remote Sensing Imagery 10.3390/min11111235
Risk factors associated with intensive care unit (ICU) admission and in-hospital death among adults hospitalized with COVID-19: a two-center retrospective observational study in tertiary care hospitals 10.1007/s10140-021-01903-8
Longitudinal Modeling of Non-pharmacological factors Related to Frequency, Severity and Duration in both Migraine and Tension Type Headaches #
A population-based cohort study on the association of dietary patterns with sleep duration: A Joint modeling by mental health status 10.21203/rs.3.rs-37401/v1
مدل سازي همزمان تاثير عوامل هندسي، توپوگرافي و دسترسي راه در تصادفات راه هاي برون شهري با عامل سازي و رگرسيون خطي تعميم يافته (مطالعه موردي راه هاي استان كرمان) #
Efficient Bayesian approach to saliency detection based on Dirichlet process mixture 10.1049/iet-ipr.2017.0267
An application of Dirichlet process in clustering subjects via variance shift models A course-evaluation study #
A comparative study on estimation methods to deal with the endogeneity in linear random-intercept models with an extension 10.1080/00949655.2016.1196689
The determination of uncertainty levels in robust clustering of subjects with longitudinal observations using the Dirichlet process mixture 10.1007/s11634-016-0262-x
type: Conference
Title Date
The Initial Conditions Problem in L1 Regularization of Dynamic Random-Intercepts Models
Endogeneity problem in recurrent event data analysis
Spike sorting Which clustering method should be chosen Which circumstances affect this selection
A Bayesian semi-parametric approach to clustering longitudinal count data with missing values
Clustering individuals with longitudinal observations based on their distributional behavior via Dirichlet processes