mvlearn: Multiview Machine Learning in Python von Perry, Ronan, Mischler, Gavin, Guo, Richard, Lee, Theodore, Chang, Alexander, Koul, Arman, Franz, Cameron, Richard, Hugo, Carmichael, Iain, Ablin, Pierre, Gramfort, Alexandre, Vogelstein, Joshua T.

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Universally consistent K-sample tests via dependence measures von Panda, Sambit, Shen, Cencheng, Perry, Ronan, Zorn, Jelle, Lutz, Antoine, Priebe, Carey E., Vogelstein, Joshua T.

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On the minimum strength of (unobserved) covariates to overturn an insignificant result von Tsao, Danielle, Perry, Ronan, Cinelli, Carlos

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Infer-and-widen versus split-and-condition: two tales of selective inference von Perry, Ronan, Xu, Zichun, McGough, Olivia, Witten, Daniela

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Inference on the proportion of variance explained in principal component analysis von Perry, Ronan, Panigrahi, Snigdha, Bien, Jacob, Witten, Daniela

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Causal Discovery in Heterogeneous Environments Under the Sparse Mechanism Shift Hypothesis von Perry, Ronan, von Kügelgen, Julius, Schölkopf, Bernhard

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Universally Consistent K-Sample Tests via Dependence Measures von Panda, Sambit, Shen, Cencheng, Perry, Ronan, Zorn, Jelle, Lutz, Antoine, Priebe, Carey E, Vogelstein, Joshua T

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On the minimum strength of (unobserved) covariates to overturn an insignificant result von Tsao, Danielle, Perry, Ronan, Cinelli, Carlos

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Infer-and-widen versus split-and-condition: two tales of selective inference von Perry, Ronan, Xu, Zichun, McGough, Olivia, Witten, Daniela

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Causal Discovery in Heterogeneous Environments Under the Sparse Mechanism Shift Hypothesis von Perry, Ronan, Julius von Kügelgen, Schölkopf, Bernhard

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Inference on the proportion of variance explained in principal component analysis von Perry, Ronan, Panigrahi, Snigdha, Bien, Jacob, Witten, Daniela

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Manifold Oblique Random Forests: Towards Closing the Gap on Convolutional Deep Networks von Li, Adam, Perry, Ronan, Huynh, Chester, Tomita, Tyler M, Mehta, Ronak, Arroyo, Jesus, Patsolic, Jesse, Falk, Benjamin, Vogelstein, Joshua T

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mvlearn: Multiview Machine Learning in Python von Perry, Ronan, Mischler, Gavin, Guo, Richard, Lee, Theodore, Chang, Alexander, Koul, Arman, Franz, Cameron, Richard, Hugo, Carmichael, Iain, Ablin, Pierre, Gramfort, Alexandre, Vogelstein, Joshua T

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Random Forests for Adaptive Nearest Neighbor Estimation of Information-Theoretic Quantities von Perry, Ronan, Mehta, Ronak, Guo, Richard, Yezerets, Eva, Arroyo, Jesús, Powell, Mike, Helm, Hayden, Shen, Cencheng, Vogelstein, Joshua T

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Manifold Oblique Random Forests: Towards Closing the Gap on Convolutional Deep Networks von Li, Adam, Perry, Ronan, Huynh, Chester, Tomita, Tyler M, Mehta, Ronak, Arroyo, Jesus, Patsolic, Jesse, Falk, Benjamin, Vogelstein, Joshua T

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Random Forests for Adaptive Nearest Neighbor Estimation of Information-Theoretic Quantities von Perry, Ronan, Mehta, Ronak, Guo, Richard, Yezerets, Eva, Arroyo, Jesús, Powell, Mike, Helm, Hayden, Shen, Cencheng, Vogelstein, Joshua T

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mvlearn: Multiview Machine Learning in Python von Perry, Ronan, Mischler, Gavin, Guo, Richard, Lee, Theodore, Chang, Alexander, Koul, Arman, Cameron, Franz, Hugo, Richard, Carmichael, Iain, Ablin, Pierre, Gramfort, Alexandre, Vogelstein, Joshua T

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Type 2 Diabetes Research Yield, 1951-2012: Bibliometrics Analysis and Density-Equalizing Mapping von Geaney, Fiona, Scutaru, Cristian, Kelly, Clare, Glynn, Ronan W, Perry, Ivan J

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Trends in the incidence of lower extremity amputations in people with and without diabetes over a five-year period in the Republic of Ireland von Buckley, Claire M, O'Farrell, Anne, Canavan, Ronan J, Lynch, Anthony D, De La Harpe, Davida V, Bradley, Colin P, Perry, Ivan J

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Inequalities in coverage of COVID-19 vaccination: A population register based cross-sectional study in Wales, UK von Perry, Malorie, Akbari, Ashley, Cottrell, Simon, Gravenor, Michael B., Roberts, Richard, Lyons, Ronan A., Bedston, Stuart, Torabi, Fatemah, Griffiths, Lucy

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