IEEE

Prediction and Analysis of Olympic Medals Based on Probit Regression and Tobit Model

Abstract: This paper aims to predict and analyze the distribution of Olympic medals by constructing a two-stage prediction framework based on Probit regression and the Tobit model. First, we ...
GitHub

Model-Based Clustering and Variable Selection for Multivariate Count Data

Model-based clustering provides a principled way of developing clustering methods. We develop a new model-based clustering methods for count data. The method combines clustering and variable selection ...
Frontiers

Development and comparison of multivariate diagnostic models for rapidly progressive central precocious puberty in girls: the role of serum osteocalcin

Objectives: To develop a diagnostic prediction model for rapidly progressive central precocious puberty (RP-CPP) and evaluate the contribution of osteocalcin(OC) to the model. Methods: For a total of ...
GitHub

CMamba: Channel Correlation Enhanced State Space Models for Multivariate Time Series Forecasting

In this repository, we present the code of "CMamba: Channel Correlation Enhanced State Space Models for Multivariate Time Series Forecasting". conda create -n cmamba ...
IEEE

Graph-Dictionary Signal Model for Sparse Representation of Multivariate Data

Abstract: Representing and exploiting multivariate signals requires capturing relations between variables, which we can represent by graphs. Graph dictionaries allow to describe complex relational ...