# Sitemap

A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.

## Markdown

This is a page not in th emain menu

## Future Blog Post

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This post will show up by default. To disable scheduling of future posts, edit config.yml and set future: false.

## Blog Post number 4

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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

## Blog Post number 3

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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

## Blog Post number 2

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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

## Blog Post number 1

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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

## Portfolio item number 1

Short description of portfolio item number 1

## Portfolio item number 2

Short description of portfolio item number 2

## Gene hunting with knockoffs for hidden Markov models

Published in Biometrika, 2019

This paper develop an exact construction of knockoffs for variables distributed as hidden Markov models, and builds upon this a principled and versatile method for controlling the false discovery rate in genome-wide association studies.

Recommended citation: Sesia, Sabatti, and Candès. (2019). "Gene hunting with knockoffs for hidden Markov models." Biometrika. 106(1), pages 1-18. https://doi.org/10.1093/biomet/asy033

## Rejoinder: ‘Gene hunting with knockoffs for hidden Markov models’

Published in Biometrika, 2019

Discussion of ‘Gene hunting with knockoffs for hidden Markov models’.

Recommended citation: Sesia, Sabatti, and Candès. (2019). "Gene hunting with knockoffs for hidden Markov models." Biometrika. 106(1), pages 35-45. https://doi.org/10.1093/biomet/asy075

## Deep Knockoffs

Published in Journal of the American Statistical Association, 2019

This paper introduces a machine for sampling approximate model-X knockoffs for arbitrary and unspecified data distributions using deep generative models. By building upon the existing model-X framework, we thus obtain a flexible and model-free statistical tool to perform controlled variable selection.

Recommended citation: Romano, Sesia, and Candès. (2019). "Deep Knockoffs." J. Am. Stat. Assoc.. 0(0), pages 1-12. https://doi.org/10.1080/01621459.2019.1660174

## Multi-resolution localization of causal variants across the genome.

Published in Nature Communications, 2020

A knockoff-based method for the genetic mapping of complex traits at multiple resolutions, and a large-scale application to the UK Biobank data.

Recommended citation: Sesia, Bates, Katsevich, Candès, and Sabatti. (2020). "Multi-resolution localization of causal variants across the genome." Nature Commun. 11, 1093. https://doi.org/10.1038/s41467-020-14791-2

## A comparison of some conformal quantile regression methods

Published in Stat, 2020

This paper compares two recent methods that combine conformal inference with quantile regression to produce locally adaptive and marginally valid prediction intervals under sample exchangeability, both theoretically and empirically.

Recommended citation: Sesia and Candès. (2020). "A comparison of some conformal quantile regression methods." Stat. 9:e261. http://dx.doi.org/10.1002/sta4.261

## Causal inference in genetic trio studies

Published in Proc. Natl. Acad. Sci. U.S.A., 2020

Flexible and rigorous causal inference from genetic trio data.

Recommended citation: Bates, Sesia, Sabatti, and Candès (2020). "Causal inference in genetic trio studies." Proc. Natl. Acad. Sci. U.S.A., 117 (39) 24117-24126. https://www.pnas.org/content/early/2020/09/17/2007743117

## Classification with valid and adaptive coverage

Published in Advances in Neural Information Processing Systems 33 (NeurIPS 2020), 2020

Model-free classification inference that can efficiently adapt to complex data distributions.

Recommended citation: Romano, Sesia, and Candès (2020). "Classification with valid and adaptive coverage." Advances in Neural Information Processing Systems 33. https://papers.nips.cc/paper/2020/hash/244edd7e85dc81602b7615cd705545f5-Abstract.html

## Controlling the false discovery rate in GWAS with population structure

Published in pre-print, 2020

A knockoff-based method for the genetic mapping of complex traits at multiple resolutions accounting for population structure, and a large-scale application to the UK Biobank data.

Recommended citation: Sesia, Bates, Candès, Marchini, and Sabatti (2020). "Controlling the false discovery rate in GWAS with population structure." bioRxiv. https://doi.org/10.1101/2020.08.04.236703

## Testing for Outliers with Conformal p-values

Published in pre-print, 2021

This paper studies the construction of p-values for nonparametric outlier detection, taking a multiple-testing perspective.

Recommended citation: Bates, Candès, Lei, Romano, and Sesia (2021). "Testing for Outliers with Conformal p-values." arXiv. https://arxiv.org/abs/2104.08279

## Conformal Histogral Regression

Published in pre-print, 2021

This paper develops efficient conformity scores for non-parametric regression.

Recommended citation: Sesia and Romano (2021). "Conformal Histogral Regression." arXiv. https://arxiv.org/abs/2105.08747

## Searching for consistent associations with a multi-environment knockoff filter

Published in pre-print, 2021

This paper develops a method based on model-X knockoffs to find conditional associations that are consistent across diverse environments, controlling the false discovery rate.

Recommended citation: Li, Sesia, Romano, Candès, and Sabatti (2021). "Searching for consistent associations with a multi-environment knockoff filter." arXiv. https://arxiv.org/abs/2106.04118

## Interpretable Classification of Bacterial Raman Spectra with Knockoff Wavelets

Published in IEEE Journal of Biomedical and Health Informatics, 2021

An application of knockoffs to signal-processing data from biophysics.

Recommended citation: Chia, Sesia, Ho, Jeffrey, Dionne, Candès, and Howe (2021). "Interpretable Classification of Bacterial Raman Spectra with Knockoff Wavelets." IEEE J. Biomed. Health. Inform. . https://doi.org/10.1109/JBHI.2021.3094873

## Transfer learning in genome-wide association studies with knockoffs

Published in pre-print, 2021

This paper develops a method to increase the power of conditional testing via knockoffs by leveraging prior information in external data sets collected from different populations or measuring related outcomes.

Recommended citation: Li, Ren, Sabatti, and Sesia (2021). "Transfer learning in genome-wide association studies with knockoffs." arXiv preprint . https://arxiv.org/abs/2108.08813

## Talk 1 on Relevant Topic in Your Field

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This is a description of your talk, which is a markdown files that can be all markdown-ified like any other post. Yay markdown!

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## Conference Proceeding talk 3 on Relevant Topic in Your Field

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This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.

## Stats 390, Consulting Workshop

Undergraduate course, University of Southern California, 2020