Search Results - "Sesia, Matteo"

Multi-resolution localization of causal variants across the genome by Sesia, Matteo, Katsevich, Eugene, Bates, Stephen, Candès, Emmanuel, Sabatti, Chiara

“…In the statistical analysis of genome-wide association data, it is challenging to precisely localize the variants that affect complex traits, due to linkage…”
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Publisher Correction: Multi-resolution localization of causal variants across the genome by Sesia, Matteo, Katsevich, Eugene, Bates, Stephen, Candès, Emmanuel, Sabatti, Chiara

“…An amendment to this paper has been published and can be accessed via a link at the top of the paper…”
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Deep Knockoffs by Romano, Yaniv, Sesia, Matteo, Candès, Emmanuel

“…This article introduces a machine for sampling approximate model-X knockoffs for arbitrary and unspecified data distributions using deep generative models. The…”
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False discovery rate control in genome-wide association studies with population structure by Sesia, Matteo, Bates, Stephen, Candès, Emmanuel, Marchini, Jonathan, Sabatti, Chiara

“…We present a comprehensive statistical framework to analyze data from genome-wide association studies of polygenic traits, producing interpretable findings…”
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Causal inference in genetic trio studies by Bates, Stephen, Sesia, Matteo, Sabatti, Chiara, Candès, Emmanuel

“…We introduce a method to draw causal inferences—inferences immune to all possible confounding—from genetic data that include parents and offspring. Causal…”
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Integrative conformal p -values for out-of-distribution testing with labelled outliers by Liang, Ziyi, Sesia, Matteo, Sun, Wenguang

“…Abstract This paper presents a conformal inference method for out-of-distribution testing that leverages side information from labelled outliers, which are…”
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Testing for outliers with conformal p-values by Bates, Stephen, Candès, Emmanuel, Lei, Lihua, Romano, Yaniv, Sesia, Matteo

“…This paper studies the construction of p-values for nonparametric outlier detection, from a multiple-testing perspective. The goal is to test whether new…”
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A comparison of some conformal quantile regression methods by Sesia, Matteo, Candès, Emmanuel J.

“…We compare two recent methods that combine conformal inference with quantile regression to produce locally adaptive and marginally valid prediction intervals…”
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Robotic-Assisted Esophagectomy Leads to Significant Reduction in Postoperative Acute Pain: A Retrospective Clinical Trial by Hoelzen, Jens P., Sander, Karl J., Sesia, Matteo, Roy, Dhruvajyoti, Rijcken, Emile, Schnabel, Alexander, Struecker, Benjamin, Juratli, Mazen A., Pascher, Andreas

“…Background Robot-assisted minimally invasive esophagectomy (RAMIE) shows promising results regarding postoperative complications in patients with esophageal…”
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Transfer Learning in Genome-Wide Association Studies with Knockoffs by Li, Shuangning, Ren, Zhimei, Sabatti, Chiara, Sesia, Matteo

“…Abstract This paper presents and compares alternative transfer learning methods that can increase the power of conditional testing via knockoffs by leveraging…”
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New Methods for Variable Importance Testing with Applications to Genetic Studies by Sesia, Matteo

“…The objective of this thesis is to develop new practical and principled statistical methodology for the analysis of genome-wide association data, in order to…”
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ASO Visual Abstract: Robotic-Assisted Esophagectomy Leads to Significant Reduction in Postoperative Acute Pain—A Retrospective Clinical Trial by Hoelzen, Jens P., Sander, Karl J., Sesia, Matteo, Roy, Dhruvajyoti, Rijcken, Emile, Schnabel, Alexander, Struecker, Benjamin, Juratli, Mazen A., Pascher, Andreas

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Interpretable Classification of Bacterial Raman Spectra With Knockoff Wavelets by Chia, Charmaine, Sesia, Matteo, Ho, Chi-Sing, Jeffrey, Stefanie S., Dionne, Jennifer, Candes, Emmanuel J., Howe, Roger T.

“…Deep neural networks and other machine learning models are widely applied to biomedical signal data because they can detect complex patterns and compute…”
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Conformal Classification with Equalized Coverage for Adaptively Selected Groups by Zhou, Yanfei, Sesia, Matteo

“…This paper introduces a conformal inference method to evaluate uncertainty in classification by generating prediction sets with valid coverage conditional on…”
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Bayesian nonparametric estimation of coverage probabilities and distinct counts from sketched data by Favaro, Stefano, Sesia, Matteo

“…The estimation of coverage probabilities, and in particular of the missing mass, is a classical statistical problem with applications in numerous scientific…”
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Searching for subgroup-specific associations while controlling the false discovery rate by Sesia, Matteo, Sun, Tianshu

“…This paper introduces an innovative method for conducting conditional independence testing in high-dimensional data, facilitating the automated discovery of…”
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Conformal Frequency Estimation with Sketched Data by Sesia, Matteo, Favaro, Stefano

“…A flexible conformal inference method is developed to construct confidence intervals for the frequencies of queried objects in very large data sets, based on a…”
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Conformal Prediction using Conditional Histograms by Sesia, Matteo, Romano, Yaniv

“…This paper develops a conformal method to compute prediction intervals for non-parametric regression that can automatically adapt to skewed data. Leveraging…”
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Conformalized Adaptive Forecasting of Heterogeneous Trajectories by Zhou, Yanfei, Lindemann, Lars, Sesia, Matteo

“…This paper presents a new conformal method for generating simultaneous forecasting bands guaranteed to cover the entire path of a new random trajectory with…”
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A smoothed-Bayesian approach to frequency recovery from sketched data by Beraha, Mario, Favaro, Stefano, Sesia, Matteo

“…We provide a novel statistical perspective on a classical problem at the intersection of computer science and information theory: recovering the empirical…”
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