Search
Search Results
-
Assessing similarities between spatial point patterns with a Siamese neural network discriminant model
Identifying structural differences among observed point patterns from several populations is of interest in several applications. We use deep...
-
Accounting for Imputation Uncertainty During Neural Network Training
In this paper we are interested in dealing with missing values in a machine learning context, and more especially when training a neural network. We...
-
The role of passing network indicators in modeling football outcomes: an application using Bayesian hierarchical models
Passes are undoubtedly the more frequent events in football and other team sports. Passing networks and their structural features can be useful to...
-
Bridge closure in the road network of Lombardy: a spatio-temporal analysis of the socio-economic impacts
This paper introduces a methodology to evaluate the socio-economic impacts of closure for maintenance of one or more infrastructures of a large and...
-
An Artificial Intelligence Approach for Gene Editing Off-Target Quantification: Convolutional Self-attention Neural Network Designs and Considerations
In the CRISPR-based gene-editing system, an important issue is the off-target cleavage which could alter the functions of unintended genes and induce...
-
Bayesian network structural learning from complex survey data: a resampling based approach
Nowadays there is increasing availability of good quality official statistics data. The construction of multivariate statistical models possibly...
-
An Analysis of David E. Tyler’s Publication and Coauthor Network
David E. Tyler can look back on an impressive career with many significant contributions to robust and multivariate statistical methods. In this...
-
Bayesian dynamic network actor models with application to South Korean COVID-19 patient movement data
Motivated by the ongoing COVID-19 pandemic, this article introduces Bayesian dynamic network actor models for the analysis of infected individuals’...
-
DBGAN: A Data Balancing Generative Adversarial Network for Mobility Pattern Recognition
Mobility pattern recognition is a central aspect of transportation and data mining research. Despite the development of various machine learning...
-
Multicenter and Network Trials
Multicenter clinical trial designs offer a unique opportunity to leverage the diversity of patient populations in multiple geographic locations,...
-
Network Science
Network science is a set of techniques, methods, and tools to study patterns in networked structures. The goal of network science is to understand...
-
A generalized information criterion for high-dimensional PCA rank selection
Principal component analysis (PCA) is a commonly used statistical tool for dimension reduction. An important issue in PCA is to determine the rank,...
-
Hierarchical Graph Neural Network with Cross-Attention for Cross-Device User Matching
Cross-device user matching is a critical problem in numerous domains, including advertising, recommender systems, and cybersecurity. It involves...
-
Multimodal information gain in Bayesian design of experiments
One of the well-known challenges in optimal experimental design is how to efficiently estimate the nested integrations of the expected information...
-
Optimal Liquidation Through a Limit Order Book: A Neural Network and Simulation Approach
We present a learning algorithm based on simulation and neural networks to solve a stochastic optimal control problem with a large state space using...
-
Effective transfer entropy to measure information flows in credit markets
In this paper we propose to study the dynamics of financial contagion between the credit default swap (CDS) and the sovereign bond markets through...
-
A Network Analysis of the Sectoral From-Whom-To-Whom Financial Stock Matrix
This study enhances global flow of funds (GFF) statistics for assessing global financial stability at the national and cross-border sectoral levels....
-
Information Extraction: Non-time Series Methods
I focused on time series data for predicting an outcome in Chaps. 3 and 4...
-
The Interaction of Users’ Behavior to the Development of a Distribution and Logistics Network of the Information Technology Companies
Communication technologies are increasingly interacting in our professional and personal lives. Intense competition and advanced trends for...
-
A smooth dynamic network model for patent collaboration data
The development and application of models, which take the evolution of network dynamics into account, are receiving increasing attention. We...
