Optimal Nonparametric Multivariate Change Point Detection and Localization von Madrid Padilla, Oscar Hernan, Yu, Yi, Wang, Daren, Rinaldo, Alessandro

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Risk bounds for quantile trend filtering von Madrid Padilla, Oscar Hernan, Chatterjee, Sabyasachi

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Sequential Nonparametric Tests for a Change in Distribution: An Application to Detecting Radiological Anomalies von Madrid Padilla, Oscar Hernan, Athey, Alex, Reinhart, Alex, Scott, James G.

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Adaptive nonparametric regression with the K-nearest neighbour fused lasso von Madrid Padilla, Oscar Hernan, Sharpnack, James, Chen, Yanzhen, Witten, Daniela M

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High-dimensional latent panel quantile regression with an application to asset pricing von Belloni, Alexandre, Chen, Mingli, Madrid Padilla, Oscar Hernan, Wang, Zixuan (Kevin)

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Graphon estimation via nearest‐neighbour algorithm and two‐dimensional fused‐lasso denoising von Hernan Madrid Padilla, Oscar, Chen, Yanzhen

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A partially separable model for dynamic valued networks von Kei, Yik Lun, Chen, Yanzhen, Madrid Padilla, Oscar Hernan

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Quantile regression by dyadic CART von Madrid Padilla, Oscar Hernan, Chatterjee, Sabyasachi

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A naturalistic study of brushing patterns using powered toothbrushes von Essalat, Mahmoud, Morrison, Douglas, Kak, Sumukh, Chang, E Jun, Penso, Isabel Roig, Kulchar, Rachel J, Padilla, Oscar Hernan Madrid, Shetty, Vivek

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Optimal nonparametric change point analysis von Madrid Padilla, Oscar Hernan, Yu, Yi, Wang, Daren, Rinaldo, Alessandro

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Feature grouping and sparse principal component analysis with truncated regularization von Jiang, Haiyan, Qin, Shanshan, Madrid Padilla, Oscar Hernan

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2D score-based estimation of heterogeneous treatment effects von Ye, Steven Siwei, Chen, Yanzhen, Padilla, Oscar Hernan Madrid

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Statistical and Mathematical Modeling in the Coronavirus Epidemic: Some Considerations to Minimize Biases in the Results von Matabuena, Marcos, Madrid Padilla, Oscar Hernan, Gonzalez-Barcala, Francisco-Javier

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A deconvolution path for mixtures von Madrid-Padilla, Oscar-Hernan, Polson, Nicholas G., Scott, James

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Extensions to the Proximal Distance Method of Constrained Optimization von Landeros, Alfonso, Padilla, Oscar Hernan Madrid, Zhou, Hua, Lange, Kenneth

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Tensor Decomposition With Generalized Lasso Penalties von Madrid-Padilla, Oscar Hernan, Scott, James

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Priors for Random Count Matrices Derived from a Family of Negative Binomial Processes von Zhou, Mingyuan, Padilla, Oscar Hernan Madrid, Scott, James G.

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Kernel biclustering algorithm in Hilbert spaces von Matabuena, Marcos, Vidal, Juan C., Padilla, Oscar Hernan Madrid, Sejdinovic, Dino

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Optimal post-selection inference for sparse signals: a nonparametric empirical-Bayes approach von Spencer, Woody, Oscar Hernan Madrid Padilla, Scott, James G

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Statistical and mathematical modeling in the coronavirus epidemic: some considerations to minimize biases in the results von Matabuena, Marcos, Padilla, Oscar Hernan Madrid, Gonzalez-Barcala, Francisco-Javier

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