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High-dimensional Ising model selection using ℓ1-regularized logistic regression
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inferred← citeshttps://doi.org/10.1017/9781108627771.002openalex-snapshot
Basic tail and concentration bounds
inferred← citeshttps://doi.org/10.1017/9781108627771.004openalex-snapshot
Uniform laws of large numbers
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Metric entropy and its uses
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Random matrices and covariance estimation
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Sparse linear models in high dimensions
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Principal component analysis in high dimensions
inferred← citeshttps://doi.org/10.1017/9781108627771.009openalex-snapshot
Decomposability and restricted strong convexity
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Matrix estimation with rank constraints
inferred← citeshttps://doi.org/10.1017/9781108627771.011openalex-snapshot
Graphical models for high-dimensional data
inferred← citeshttps://doi.org/10.1017/9781108627771.012openalex-snapshot
Reproducing kernel Hilbert spaces
inferred← citeshttps://doi.org/10.1017/9781108627771.013openalex-snapshot
Nonparametric least squares
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Localization and uniform laws
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Bayesian Analysis of the Ordinal Markov Random Field
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From loss to loneliness: The relationship between bereavement and depressive symptoms.
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False alarm? A comprehensive reanalysis of “Evidence that psychopathology symptom networks have limited replicability” by Forbes, Wright, Markon, and Krueger (2017).
inferred← citeshttps://doi.org/10.1037/met0000207openalex-snapshot
On Ising models and algorithms for the construction of symptom networks in psychopathological research.
inferred← citeshttps://doi.org/10.1037/met0000471openalex-snapshot
Reporting standards for psychological network analyses in cross-sectional data.
inferred← citeshttps://doi.org/10.1037/met0000476openalex-snapshot
Comparing network structures on three aspects: A permutation test.
inferred← citeshttps://doi.org/10.1038/s41398-021-01543-zopenalex-snapshot
Network analysis of depressive symptoms in Hong Kong residents during the COVID-19 pandemic
inferred← citeshttps://doi.org/10.1038/s41467-023-41547-5openalex-snapshot
Activity-dependent organization of prefrontal hub-networks for associative learning and signal transformation
inferred← citeshttps://doi.org/10.1038/s41593-020-0699-2openalex-snapshot
Systematic errors in connectivity inferred from activity in strongly recurrent networks
inferred← citeshttps://doi.org/10.1038/s41598-017-03163-4openalex-snapshot
Inverse problem for multi-body interaction of nonlinear waves
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Maximum entropy models capture melodic styles
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A new method for constructing networks from binary data
inferred← citeshttps://doi.org/10.1073/pnas.1611861114openalex-snapshot
Conservation of coevolving protein interfaces bridges prokaryote–eukaryote homologies in the twilight zone
inferred← citeshttps://doi.org/10.1073/pnas.1901692116openalex-snapshot
Dynamic graphical models of molecular kinetics
inferred← citeshttps://doi.org/10.1073/pnas.2012331117openalex-snapshot
Global analysis of more than 50,000 SARS-CoV-2 genomes reveals epistasis between eight viral genes
inferred← citeshttps://doi.org/10.1073/pnas.2109649118openalex-snapshot
On the sparsity of fitness functions and implications for learning
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Inverse statistical problems: from the inverse Ising problem to data science
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On Penalty Parameter Selection for Estimating Network Models
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Interpreting the Ising Model: The Input Matters
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On Fixed Marginal Distributions and Psychometric Network Models
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Improving the Walktrap Algorithm Using K -Means Clustering
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QQ Models: Joint Modeling for Quantitative and Qualitative Quality Responses in Manufacturing Systems
inferred← citeshttps://doi.org/10.1080/00949655.2018.1531414openalex-snapshot
Extended lasso-type MARS (LMARS) model in the description of biological network
inferred← citeshttps://doi.org/10.1080/00949655.2019.1657116openalex-snapshot
Sparse inverse covariance estimation for high-throughput microRNA sequencing data in the Poisson log-normal graphical model
inferred← citeshttps://doi.org/10.1080/00949655.2020.1736072openalex-snapshot
Long-tailed graphical model and frequentist inference of the model parameters for biological networks
inferred← citeshttps://doi.org/10.1080/00949655.2022.2084618openalex-snapshot
Nonparametric discriminant analysis with network structures in predictor
inferred← citeshttps://doi.org/10.1080/01621459.2015.1012391openalex-snapshot
An Equivalent Measure of Partial Correlation Coefficients for High-Dimensional Gaussian Graphical Models
inferred← citeshttps://doi.org/10.1080/01621459.2015.1093944openalex-snapshot
Sufficient Reductions in Regressions With Exponential Family Inverse Predictors
inferred← citeshttps://doi.org/10.1080/01621459.2017.1401541openalex-snapshot
Robust Variable and Interaction Selection for Logistic Regression and General Index Models
inferred← citeshttps://doi.org/10.1080/01621459.2021.1882466openalex-snapshot
Kernel Ordinary Differential Equations
inferred← citeshttps://doi.org/10.1080/01621459.2022.2039671openalex-snapshot
Kernel Knockoffs Selection for Nonparametric Additive Models
inferred← citeshttps://doi.org/10.1080/01621459.2022.2119983openalex-snapshot
An Additive Graphical Model for Discrete Data
inferred← citeshttps://doi.org/10.1080/01621459.2023.2233744openalex-snapshot
Covariate-Assisted Bayesian Graph Learning for Heterogeneous Data
inferred← citeshttps://doi.org/10.1080/01621459.2024.2308848openalex-snapshot
Consistent Community Detection in Inter-Layer Dependent Multi-Layer Networks
inferred← citeshttps://doi.org/10.1080/01621459.2025.2453250openalex-snapshot
Hub Detection in Gaussian Graphical Models
inferred← citeshttps://doi.org/10.1080/01621459.2025.2565851openalex-snapshot
A Regression Framework for Studying Relationships among Attributes under Network Interference
inferred← citeshttps://doi.org/10.1080/01621459.2025.2571245openalex-snapshot
Reconstruct Ising Model With Global Optimality via SLIDE
inferred← citeshttps://doi.org/10.1080/02331934.2023.2230976openalex-snapshot
Almost sure convergence rates of stochastic proximal gradient descent algorithm
inferred← citeshttps://doi.org/10.1080/02664763.2012.663346openalex-snapshot
Covariance structure approximation via gLasso in high-dimensional supervised classification
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