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04/10/2023
Non-asymptotic inference for multivariate change point detection
Traditional methods for inference in change point detection often rely o...
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03/08/2023
The impact of the COVID-19 pandemic on daily rhythms
The COVID-19 pandemic has significantly impacted daily activity rhythms ...
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01/26/2023
Permutation-based Hypothesis Testing for Neural Networks
Neural networks are powerful predictive models, but they provide little ...
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01/12/2023
A Generalized Estimating Equation Approach to Network Regression
Regression models applied to network data where node attributes are the ...
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12/14/2022
Analysis of block slice samplers for Bayesian GLMMs and GAMs with linear inequality and shape constraints
Exponential family models, generalized linear models (GLMs), generalized...
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09/15/2022
Selecting a significance level in sequential testing procedures for community detection
While there have been numerous sequential algorithms developed to estima...
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05/10/2022
Confidence Intervals for the Number of Components in Factor Analysis and Principal Components Analysis via Subsampling
Factor analysis (FA) and principal component analysis (PCA) are popular ...
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01/23/2022
Combining Mixed Effects Hidden Markov Models with Latent Alternating Recurrent Event Processes to Model Diurnal Active-Rest Cycles
Data collected from wearable devices and smartphones can shed light on a...
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01/12/2022
Multiple Hypothesis Testing To Estimate The Number of Communities in Sparse Stochastic Block Models
Network-based clustering methods frequently require the number of commun...
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06/30/2020
Autoregressive Mixture Models for Serial Correlation Clustering of Time Series Data
Clustering individuals into similar groups in longitudinal studies can i...
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04/09/2020
The Asymptotic Distribution of Modularity in Weighted Signed Networks
Modularity is a popular metric for quantifying the degree of community s...
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11/28/2019