Functional clustering methods for binary longitudinal data with temporal heterogeneity

نویسندگان

چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Bayesian Functional Data Clustering for Temporal Microarray Data

We propose a Bayesian procedure to cluster temporal gene expression microarray profiles, based on a mixed-effect smoothing-spline model, and design a Gibbs sampler to sample from the desired posterior distribution. Our method can determine the cluster number automatically based on the Bayesian information criterion, and handle missing data easily. When applied to a microarray dataset on the bud...

متن کامل

Forecasting binary longitudinal data by a functional PC-ARIMA model

The purpose of this paper is to forecast the time evolution of a binary response variable from an associated continuous time series observed only at discrete time points that usually are unequally spaced. In order to solve this problem we are going to use a functional logit model based on functional principal component analysis of the predictor time series that takes into account its continuous...

متن کامل

A Comparison of Hierarchical Methods for Clustering Functional Data

Functional data analysis (FDA) — the analysis of data that can be considered a set of observed continuous functions — is an increasingly common class of statistical analysis. One of the most widely used FDA methods is the cluster analysis of functional data; however, little work has been done to compare the performance of clustering methods on functional data. In this paper a simulation study c...

متن کامل

Spatio-Functional data Analysis: clustering methods for models discovering

In this paper we propose two clustering strategies for spatially referenced functional data. Both are model based approaches since a functional linear model is supposed to generate the elements of each cluster. A first proposal considers the problem of clustering curves that are realization of a random stochastic process. In this case functional sub-processes are discovered and their generative...

متن کامل

On Clustering Binary Data

Clustering is the problem of identifying the distribution of patterns and intrinsic correlations in large data sets by partitioning the data points into similarity classes. This paper studies the problem of clustering binary data. This is the case for market basket datasets where the transactions contain items and for document datasets where the documents contain “bag of words”. The contributio...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Computational Statistics & Data Analysis

سال: 2023

ISSN: ['0167-9473', '1872-7352']

DOI: https://doi.org/10.1016/j.csda.2023.107766