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08/31/2023
Locally Adaptive Shrinkage Priors for Trends and Breaks in Count Time Series
Non-stationary count time series characterized by features such as abrup...
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02/02/2023
Dynamic Atomic Column Detection in Transmission Electron Microscopy Videos via Ridge Estimation
Ridge detection is a classical tool to extract curvilinear features in i...
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10/13/2022
Non-fungible token transactions: data and challenges
Non-fungible tokens (NFT) have recently emerged as a novel blockchain ho...
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09/27/2022
Detection and hypothesis testing of features in extremely noisy image series using topological data analysis, with applications to nanoparticle videos
We propose a flexible approach for the detection of features in images w...
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06/30/2022
K-ARMA Models for Clustering Time Series Data
We present an approach to clustering time series data using a model-base...
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03/03/2022
Interpretable Latent Variables in Deep State Space Models
We introduce a new version of deep state-space models (DSSMs) that combi...
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03/03/2022
Bayesian Spillover Graphs for Dynamic Networks
We present Bayesian Spillover Graphs (BSG), a novel method for learning ...
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11/30/2021
Log-Gaussian Cox Process Modeling of Large Spatial Lightning Data using Spectral and Laplace Approximations
Lightning is a destructive and highly visible product of severe storms, ...
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11/22/2021
Spatial Correlation in Weather Forecast Accuracy: A Functional Time Series Approach
A functional time series approach is proposed for investigating spatial ...
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11/10/2021
Role of Variable Renewable Energy Penetration on Electricity Price and its Volatility Across Independent System Operators in the United States
The U.S. electrical grid has undergone substantial transformation with i...
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10/14/2021
IB-GAN: A Unified Approach for Multivariate Time Series Classification under Class Imbalance
Classification of large multivariate time series with strong class imbal...
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10/10/2021
Mixture representations for likelihood ratio ordered distributions
In this article, we introduce mixture representations for likelihood rat...
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07/30/2021
A Survey of Estimation Methods for Sparse High-dimensional Time Series Models
High-dimensional time series datasets are becoming increasingly common i...
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07/22/2021
Graphical Influence Diagnostics for Changepoint Models
Changepoint models enjoy a wide appeal in a variety of disciplines to mo...
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05/15/2021
Classifying Contaminated Cell Cultures using Time Series Features
We examine the use of time series data, derived from Electric Cell-subst...
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01/19/2021
Testing Simultaneous Diagonalizability
This paper proposes novel methods to test for simultaneous diagonalizati...
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01/19/2021
Critical Risk Indicators (CRIs) for the electric power grid: A survey and discussion of interconnected effects
The electric power grid is a critical societal resource connecting multi...
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01/13/2021
Group Linear non-Gaussian Component Analysis with Applications to Neuroimaging
Independent component analysis (ICA) is an unsupervised learning method ...
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12/18/2020
Regularized Estimation in High-Dimensional Vector Auto-Regressive Models using Spatio-Temporal Information
A Vector Auto-Regressive (VAR) model is commonly used to model multivari...
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11/18/2020
Adaptive Bayesian Changepoint Analysis and Local Outlier Scoring
We introduce global-local shrinkage priors into a Bayesian dynamic linea...
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11/09/2020
Likelihood Inference for Possibly Non-Stationary Processes via Adaptive Overdifferencing
We make a simple observation that facilitates valid likelihood-based inf...
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11/04/2020
Learning to Rank with Missing Data via Generative Adversarial Networks
We explore the role of Conditional Generative Adversarial Networks (GAN)...
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10/24/2020
Deep Denoising For Scientific Discovery: A Case Study In Electron Microscopy
Denoising is a fundamental challenge in scientific imaging. Deep convolu...
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07/18/2020
Modeling Nonlinear Growth Followed by Long-Memory Equilibrium with Unknown Change Point
Measurements of many biological processes are characterized by an initia...
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07/09/2020
Graph-Based Continual Learning
Despite significant advances, continual learning models still suffer fro...
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05/25/2020
Factor Analysis of Mixed Data for Anomaly Detection
Anomaly detection aims to identify observations that deviate from the ty...
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05/17/2018
Testing for Conditional Mean Independence with Covariates through Martingale Difference Divergence
As a crucial problem in statistics is to decide whether additional varia...
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05/17/2018
Independent Component Analysis via Energy-based and Kernel-based Mutual Dependence Measures
We apply both distance-based (Jin and Matteson, 2017) and kernel-based (...
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12/23/2017
Optimization and Testing in Linear Non-Gaussian Component Analysis
Independent component analysis (ICA) decomposes multivariate data into m...
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11/09/2017
Interpretable Vector AutoRegressions with Exogenous Time Series
The Vector AutoRegressive (VAR) model is fundamental to the study of mul...
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10/26/2017
Cell Line Classification Using Electric Cell-substrate Impedance Sensing (ECIS)
We consider cell line classification using multivariate time series data...
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12/17/2014
