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Interpolation of Precipitation Extremes on a Large Domain Toward IDF Curve Construction at Unmonitored Locations
An intensity–duration–frequency (IDF) curve describes the relationship between rainfall intensity and duration for a given return period and...
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Modeling Residential Adoption of Solar Photovoltaic Systems
The world is on an urgent transition to renewable energies. Photovoltaic (PV) solar energy is the most viable green energy source to be produced at...
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A Bayesian approach for clustering and exact finite-sample model selection in longitudinal data mixtures
We consider mixtures of longitudinal trajectories, where one trajectory contains measurements over time of the variable of interest for one...
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Manufacturing Analytics
With the advent of the Industry 4.0 revolution, the manufacturing industry uses analytics enhanced with real-time production data to enable and...
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Spatially Balanced Sampling with Local Ranking
A spatial sampling design determines where sample locations are placed in a study area so that population parameters can be estimated with good...
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DRUM: A Real Time Detector for Regime Shifts in Data Streams via an Unsupervised, Multivariate Framework
In this work we present DRUM, an unsupervised approach that is based on statistical properties of multivariate data streams to identify regime shifts...
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Vector Autoregressive Models with Spatially Structured Coefficients for Time Series on a Spatial Grid
Motivated by the need to analyze readily available data collected in space and time, especially in environmental sciences, we propose a parsimonious...
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Constrained minimum energy designs
Space-filling designs are important in computer experiments, which are critical for building a cheap surrogate model that adequately approximates an...
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GOLFS: feature selection via combining both global and local information for high dimensional clustering
It is important to identify the discriminative features for high dimensional clustering. However, due to the lack of cluster labels, the...
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Over-optimistic evaluation and reporting of novel cluster algorithms: an illustrative study
When researchers publish new cluster algorithms, they usually demonstrate the strengths of their novel approaches by comparing the algorithms’...
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Spatial Dynamics
Space adds an additional axis to the richness of infectious disease dynamics. For example, Gog et al. (2014) detailed the diffusive nature of the...
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Robust and Sparse Estimation of Graphical Models Based on Multivariate Winsorization
We propose the use of a robust covariance estimator based on multivariate Winsorization in the context of the Tarr–Müller–Weber framework for sparse...
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Fundamentals
This chapter presents the main mathematical foundations of the problems, concepts, and methods covered by the book. First, a formal description is...
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Analysing Misclassifications in Confusion Matrices
Techniques to deal with the off diagonal elements in confusion matrices are proposed. They are tailored to detect problems of bias of classification...
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Anomaly Detection in Financial Transactions Via Graph-Based Feature Aggregations
Anomaly detection in the financial domain aims to detect abnormal transactions such as fraudulent transactions that can lead to loss of revenues to...
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Supervised Classification for Link Prediction in Facebook Ego Networks With Anonymized Profile Information
Social networks are very dynamic objects where nodes and links are continuously added or removed. Hence, an important but challenging task is link...
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Scalable Semiparametric Spatio-temporal Regression for Large Data Analysis
With the rapid advances of data acquisition techniques, spatio-temporal data are becoming increasingly abundant in a diverse array of disciplines....
